id stringlengths 12 12 | created timestamp[s]date 2026-01-01 00:00:00 2026-01-01 00:00:00 | topic stringclasses 15
values | task_type stringclasses 12
values | difficulty stringclasses 2
values | instruction stringlengths 176 230 | input stringclasses 1
value | output stringclasses 11
values | metadata dict | hash stringlengths 40 40 |
|---|---|---|---|---|---|---|---|---|---|
train_062400 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | advanced | Task: patch_diff
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 75faacb7ca8e689025382184c45a5954c6b41eee | |
train_062401 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | advanced | Task: compare
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | a097d7d42ee89ce25667fca7b37a5b7da0a30a78 | |
train_062402 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | patch_diff | expert | Task: patch_diff
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "TypeScript",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | b1e3c222dcebc4aeab23adba66a756bac2c5fec9 | |
train_062403 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | patch_diff | expert | Task: patch_diff
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 4d1ef362532d2fc71dc20bb4d7284e0ee0952d29 | |
train_062404 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | self_grade | advanced | Task: self_grade
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 9411fc809d078e3894e3b1ae1cf088aef5eb52f2 | |
train_062405 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | design | expert | Task: design
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"evaluation",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 209e977bd40b3392019e183d78948db3f8c07eba | |
train_062406 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | design | advanced | Task: design
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | dd7303e10a88296cd8e0dfe151ceb8355596a49b | |
train_062407 | 2026-01-01T00:00:00 | Self-grading and automated model critique | failure_analysis | advanced | Task: failure_analysis
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | a626003ad6efee3efc2b53034c134b50390c8fae | |
train_062408 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | advanced | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | f4ea8a9f6e18cbeeeaa8c7eb0ec88c0531c7d5e9 | |
train_062409 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | tool_trace | advanced | Task: tool_trace
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | db1ddc4708db4aa52a4ed8dde66deb822f4e82b0 | |
train_062410 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | expert | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Rust
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 3e2a389c5474d2a04f1d6c4f1d766419efd542c4 | |
train_062411 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | self_grade | advanced | Task: self_grade
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 069e310345ef72520a5e0f9cd6d0c9e911f441f6 | |
train_062412 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | failure_analysis | expert | Task: failure_analysis
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 3a0c86c2a75fb51f6d1220fdb2929b4dc586aa0e | |
train_062413 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | compare | advanced | Task: compare
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 25608dd20f959381f925b3f2d2f6e49306b9c546 | |
train_062414 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | agent_loop | advanced | Task: agent_loop
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | f87232cd658c0a3cfd8af758248fa96cd5e5cfce | |
train_062415 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | tool_trace | advanced | Task: tool_trace
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | eca63a4c99c1d4e73c8c70d1219d3d4b6c0e066e | |
train_062416 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | agent_loop | advanced | Task: agent_loop
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | ee79960df4d151c6567b477737ee77961ae4a45a | |
train_062417 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | eval | advanced | Task: eval
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"research",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 41fe182d6e99394495aaf73f6f83f4f4558dc2f8 | |
train_062418 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | data_pipeline | expert | Task: data_pipeline
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | a4c8be7ca28490dbecd982a21bf7fb6ae4617fd9 | |
train_062419 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | review | advanced | Task: review
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | b1cce3eeda4179a4fc0f8f06cce4a9d51197cfab | |
train_062420 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | data_pipeline | expert | Task: data_pipeline
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 0b5f078931cb0220c1d45cefb0a671ef73aa0e1f | |
train_062421 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | eval | advanced | Task: eval
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | a0141897a8a1e34df49c95612080498635afa778 | |
train_062422 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | data_pipeline | advanced | Task: data_pipeline
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 83e7e6491137f9138d380e74ac272ef6fde5ab0f | |
train_062423 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | advanced | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 9fdf79a16f3179d7b99647b17686671d6cfebf8d | |
train_062424 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | explain | expert | Task: explain
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 8c6edcb78ff09f75800dd1cda4fe9dd1f2f12510 | |
train_062425 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | compare | advanced | Task: compare
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | e20a785f126039d471ce4d874bbccfb24b70d4f0 | |
train_062426 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | expert | Task: compare
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 84738828a9af27008f468654ca76ad6e56266454 | |
train_062427 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | data_pipeline | advanced | Task: data_pipeline
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | e0d1bf5c90a5512128bbd45d4764ee3dbdf36e8e | |
train_062428 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | design | expert | Task: design
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | e92c5b0fd22f29a1318379ad020e4698c9d1f1ef | |
train_062429 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | data_pipeline | expert | Task: data_pipeline
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 15e6e179d6be13cbf1dd2c8dba7f0bd0fbc3807f | |
train_062430 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | review | advanced | Task: review
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Go
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | cb60fc05face8af44957a9fa6797b534b21b50d8 | |
train_062431 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | self_grade | advanced | Task: self_grade
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Go
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 6c156f0ca279ca5f980be71b9ba160dbf7dbbd67 | |
train_062432 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | expert | Task: self_grade
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 6404f737f7fa8f7dfb969bb4822ba440f0bd72eb | |
train_062433 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | self_grade | advanced | Task: self_grade
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: TypeScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | e4bf3697978c884ecf9fa95288182410564acf62 | |
train_062434 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | patch_diff | advanced | Task: patch_diff
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 188e46e0fdbeff045c6841f7c80cb3b70662f113 | |
train_062435 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | tool_trace | advanced | Task: tool_trace
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Python",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 1029e6b7b6015a72113d3e552368621f23a48c22 | |
train_062436 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | explain | expert | Task: explain
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 26bc4bf44da031211d1b19d9996400186f34f1e4 | |
train_062437 | 2026-01-01T00:00:00 | Self-grading and automated model critique | tool_trace | advanced | Task: tool_trace
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 075aa6ee201149592214955aafa9eb9e780489ee | |
train_062438 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | review | expert | Task: review
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 3e6ff4276dcf3dc340be54f876a88273be8a4def | |
train_062439 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | tool_trace | expert | Task: tool_trace
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | c6b78b2a590660c0451702dbc520147d2a1c9320 | |
train_062440 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | design | expert | Task: design
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: SQL
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"research",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 8a914c85113bf4be34d27acfc4970eafe05e0df9 | |
train_062441 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | self_grade | expert | Task: self_grade
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: C#
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 0b99a22407b8f395f70912542e80ea19d8f557f9 | |
train_062442 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | code | advanced | Task: code
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | a0b8f54e6eda22f72d909e523b9a110e9e1abb36 | |
train_062443 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | design | advanced | Task: design
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 6c677604c39e47df42e2c72ec618e3e86fb3f413 | |
train_062444 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | agent_loop | expert | Task: agent_loop
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | b4eebdba923d7b9cd68673559cec67e6c2d572b4 | |
train_062445 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | self_grade | advanced | Task: self_grade
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | c2e77942f34352da11cbeb78a91fcc1a061227ab | |
train_062446 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | design | expert | Task: design
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 7bf869c7a5cc71e6a6829058c9fd1a29623205fc | |
train_062447 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | eval | advanced | Task: eval
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 1c536b663e517d9d6df881006906aa925d9efeb0 | |
train_062448 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | expert | Task: self_grade
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 3c40193b1b1557f2b8bdf7ec206961cf3624a0db | |
train_062449 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | design | advanced | Task: design
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 1b5fa9363d4b1fd92085926d6f798ec8a7005cd4 | |
train_062450 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | compare | advanced | Task: compare
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 89524bc5fd1d084e19660453ae870c49cb8ef09a | |
train_062451 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | failure_analysis | advanced | Task: failure_analysis
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | dce167984f4d7f54b19837e0d43bfb9504e9f88d | |
train_062452 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | agent_loop | expert | Task: agent_loop
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 2a503bf28f9699628aab2e43dbf7cdcae575bd25 | |
train_062453 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | patch_diff | advanced | Task: patch_diff
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "SQL",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | f8dcf71b047b833fd1738348353b7259e09d1030 | |
train_062454 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | code | expert | Task: code
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 5a1da8a0df10fc9674e99e49e242a53792f71d46 | |
train_062455 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | tool_trace | expert | Task: tool_trace
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "TypeScript",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 67845c4bc98ba0a5a0295a06198ad6c49eef575e | |
train_062456 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | failure_analysis | advanced | Task: failure_analysis
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | abb6dbbd61e4846ab5bc05b4a5391f0f865c3871 | |
train_062457 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | compare | expert | Task: compare
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 44a8afe560771e710e3c5320f279bc1909af61a5 | |
train_062458 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | advanced | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 5d7b63df8ec7e4a3004ae6ba1c3792daa4594258 | |
train_062459 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | agent_loop | advanced | Task: agent_loop
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 85b8b2f6d2d87d3f6ba1ba6f784389adf534c9d8 | |
train_062460 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | design | expert | Task: design
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 015625ac07c7e5029c63ee11ad2d623261f51bbf | |
train_062461 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | self_grade | advanced | Task: self_grade
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 985da44f96a58a68a487c20d9a518b88545eacf6 | |
train_062462 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | compare | advanced | Task: compare
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | f9f19329c23e8ad6ee07372aad38ffaff75c5eea | |
train_062463 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | explain | expert | Task: explain
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | b5ba44862c5a40ea16f0bd14f106ea3e07bee0ab | |
train_062464 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | code | expert | Task: code
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: Rust
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 58787be06985ee26ed65f13e1f9303e03f5a5c34 | |
train_062465 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | agent_loop | advanced | Task: agent_loop
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 8d5fb3468c4c1a507edfdb62b289402b0712c9e7 | |
train_062466 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | failure_analysis | advanced | Task: failure_analysis
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | ef9cc0cffd531b25ddfb41b2a18b9d9b5acc5c31 | |
train_062467 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | patch_diff | advanced | Task: patch_diff
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 0344448b8276cb63c91d6f06c16e78bc6442b2ee | |
train_062468 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | self_grade | expert | Task: self_grade
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | a7d6c29d04649f519965f86d07dea746490fd77f | |
train_062469 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | explain | expert | Task: explain
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 62a926d0c029266fda5a8c14b73e837bc5a88463 | |
train_062470 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | advanced | Task: design
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | c79170fa06cedd25a201bca12d14e3ed85389bab | |
train_062471 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | compare | advanced | Task: compare
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 557c98bd781ace970515511eda4e3c91ef5f2718 | |
train_062472 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | self_grade | advanced | Task: self_grade
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | e476c5e56a90e5a683efe0963f138ed953ae1813 | |
train_062473 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | design | advanced | Task: design
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | a17b4b64bdd8ddbe1408330b43a3ab59db74dbe0 | |
train_062474 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | eval | advanced | Task: eval
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 2dac9a66e6995158a860b0e574fbd38f8b11d2c7 | |
train_062475 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | failure_analysis | advanced | Task: failure_analysis
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | de12ea4bba40c465b98612d1b02086dbe8613a22 | |
train_062476 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | agent_loop | advanced | Task: agent_loop
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a0511fd6d8206404e1f31a09427b7d4ce65e4185 | |
train_062477 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | patch_diff | advanced | Task: patch_diff
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 77c883fa3673c073f1303ddb5dde3ed94fcfd311 | |
train_062478 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | failure_analysis | advanced | Task: failure_analysis
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: C#
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "C#",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 35939e5952013d77a18117223b52c54ca54cbde1 | |
train_062479 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | advanced | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"evaluation",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | d2ab8ff50a6f0bebf51a53e681933cbc9a3235c2 | |
train_062480 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | design | advanced | Task: design
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 8ec0d6791488fe2d22a3bb2b79d9986d3a46e3f2 | |
train_062481 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | review | advanced | Task: review
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 3f0fd682929496792bb7768058d9bb95a53b61ef | |
train_062482 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | expert | Task: eval
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | ae2c56a22064027b40ea0da35a718f460adc0fd1 | |
train_062483 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | advanced | Task: code
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 3c6a6606f666c76aad9f1fb90b22dfd9561eb677 | |
train_062484 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | tool_trace | expert | Task: tool_trace
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | a1e8e5d54d1913748c6c366188a3f7f1cce3c61f | |
train_062485 | 2026-01-01T00:00:00 | Self-grading and automated model critique | explain | expert | Task: explain
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 6ab65e5bb97549afbf5a629d08dc25916f9d34db | |
train_062486 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | failure_analysis | advanced | Task: failure_analysis
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "TypeScript",
"moe_experts": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 6be77a11d947bd7faeca6e437c99bc66e568948e | |
train_062487 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | patch_diff | expert | Task: patch_diff
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 173351ec0b8ca3cea781fdddce09fb73aba7a160 | |
train_062488 | 2026-01-01T00:00:00 | Self-grading and automated model critique | design | advanced | Task: design
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | e636044e5f1bcbfb03f4616a8641bdb8a71ed2e3 | |
train_062489 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | eval | expert | Task: eval
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 738f2ad90c5ccdef9947014b349b23aba521d52f | |
train_062490 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | self_grade | expert | Task: self_grade
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 031a6d942928895c76231ac50ec81b32886f8904 | |
train_062491 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | explain | expert | Task: explain
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | c3ddd0276fbddfb7f277871afbfe6bd65eecd2c4 | |
train_062492 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | advanced | Task: patch_diff
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 881bb2f97288cec4de7c5615eb6044a4f9c4142d | |
train_062493 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | failure_analysis | advanced | Task: failure_analysis
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"security",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 17f0f2b262db31f74293fccb5799854ef51b6974 | |
train_062494 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | self_grade | advanced | Task: self_grade
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | ad858d7f3b7489eff513a72f4317060f8089c691 | |
train_062495 | 2026-01-01T00:00:00 | Self-grading and automated model critique | code | advanced | Task: code
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"data",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | cc66071dc25c54aaf50ce4bcde5aa005fc79104c | |
train_062496 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | tool_trace | advanced | Task: tool_trace
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 9e06b8376319825fd8269e2839e644c3160fd9c7 | |
train_062497 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | expert | Task: eval
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | bdc495332ef7637bec2de9c382a7c9261f376c30 | |
train_062498 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | expert | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 034ab5f913c3959158182a37050f797903bab9b5 | |
train_062499 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | agent_loop | advanced | Task: agent_loop
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 9fa8d32500e1a8d5d12cfe21a5ece5b17d2624fa |
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