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_032100 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | compare | advanced | Task: compare
Topic: Agentic coding systems (plan→edit→test→reflect)
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | cadb0979d1b540913665b85222a172d82b8e3822 | |
train_032101 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | patch_diff | expert | Task: patch_diff
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: Go
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": "Go",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 8cd44c95d2ce733838e250dfd2eab9306a02a159 | |
train_032102 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | tool_trace | expert | Task: tool_trace
Topic: Governance, provenance, and audit logging
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 80936af96edef722d58553b9823258b3faf3a1e8 | |
train_032103 | 2026-01-01T00:00:00 | Self-grading and automated model critique | patch_diff | advanced | Task: patch_diff
Topic: Self-grading and automated model critique
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | dbd2804c059d2b55c3f582d7e100da957793b54e | |
train_032104 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | review | advanced | Task: review
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Go
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": "Go",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 400bb75e6411f854bf66154e8da617dda9fc2f04 | |
train_032105 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | tool_trace | advanced | Task: tool_trace
Topic: Model merging, distillation, and continual learning
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 7920f9091e787a78452df30eacb16291244796a2 | |
train_032106 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | patch_diff | advanced | Task: patch_diff
Topic: Model merging, distillation, and continual learning
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": [
"security",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | fdb9bc84cd73785e32952b514cd554740abc9cc2 | |
train_032107 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | explain | advanced | Task: explain
Topic: Extended context, memory, and repo graphs
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | fac0454c20e3d4e9a6cf64a55b5b8b728361ca70 | |
train_032108 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | expert | Task: data_pipeline
Topic: Latency, cost, throughput optimization
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",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 0baad7eecd7305a3341fe75cce4b0753af6169be | |
train_032109 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | failure_analysis | expert | Task: failure_analysis
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Java
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": "Java",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 8a34bdc05b05b76e759c982084b2b69633b04d8c | |
train_032110 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | design | advanced | Task: design
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: C#
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": "C#",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | ec4d20419fe820dd1aa38c1e7fe1238df6cc52f4 | |
train_032111 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | tool_trace | advanced | Task: tool_trace
Topic: Latency, cost, throughput optimization
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"research",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 8165940eebc3729b93f5affc2a88393e91641712 | |
train_032112 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | agent_loop | expert | Task: agent_loop
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": [
"performance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 3cc49d5e05d7418d2f3dc14c5132f3414a9af47b | |
train_032113 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | failure_analysis | advanced | Task: failure_analysis
Topic: Tool calling protocols and sandboxed execution
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 0ae48054c05b7f92049dfba1f9fe8efa199ac02e | |
train_032114 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | data_pipeline | expert | Task: data_pipeline
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: JavaScript
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": "JavaScript",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8ec0534f620cae742411a9f3fbe7767c560a4182 | |
train_032115 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | failure_analysis | advanced | Task: failure_analysis
Topic: SWE-bench real-repo evaluation and leakage control
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 70d78986822c7500b779b5d520adf99efda79cdb | |
train_032116 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 36f6df00cd5f3bbbdce7d36310fedf1c109fa55b | |
train_032117 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | code | advanced | Task: code
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: C#
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": "C#",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 9adfbd4590dc0367c7a37ffbd4bd696007cf0a7b | |
train_032118 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | explain | advanced | Task: explain
Topic: Secure code generation, red-teaming, and policy gates
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | efa4e123044ca400bb4fd3179f4e539bbf142dc2 | |
train_032119 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | review | expert | Task: review
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: C#
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": "C#",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 0ba8324e520d82fcfa67758769c652109bbd584b | |
train_032120 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | explain | advanced | Task: explain
Topic: Dataset curation pipelines and quality attribution
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": [
"evaluation",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 1ef7f3e3cba4846fcfd9eee35f213b3d07dcdddc | |
train_032121 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | eval | expert | Task: eval
Topic: Dataset curation pipelines and quality attribution
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | c34e5b003b227181b4fe10664e0c2a04f5aa9a59 | |
train_032122 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | expert | Task: code
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: C#
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": "C#",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 56a0059adc06dc0afd3bce6e0bbf9d21381c1cc0 | |
train_032123 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | code | advanced | Task: code
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Bash
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": "Bash",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | b7c4483be539c67957fdd9ba64dfc84f683e7299 | |
train_032124 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | explain | advanced | Task: explain
Topic: Governance, provenance, and audit logging
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": [
"governance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 7dc3beddddba031838126826f7387a3f6f20df8c | |
train_032125 | 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: 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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | b5de936e1783decf9280fea32355b8d933cb7d2c | |
train_032126 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | agent_loop | expert | Task: agent_loop
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: JavaScript
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": "JavaScript",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 1f5c587e3966e71aa549da3e337ee75e8ab02b79 | |
train_032127 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | data_pipeline | advanced | Task: data_pipeline
Topic: SWE-bench real-repo evaluation and leakage control
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 5e0f4231d1d2232a6c1f8ac70017fe4ca40700f8 | |
train_032128 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 345d0a6d2bf87de2dac5e27925e0eae582cacef9 | |
train_032129 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | compare | advanced | Task: compare
Topic: Governance, provenance, and audit logging
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": [
"evaluation",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | e333ab8778716bf971d81d2a006d958b96e46613 | |
train_032130 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | compare | advanced | Task: compare
Topic: Agentic coding systems (plan→edit→test→reflect)
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": [
"data",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | a7b319ca448f4cf5e1d4e2d7816d29a7542d2554 | |
train_032131 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 6f8d679774ebd4f04ca2a9e1a03dca56b3fbffeb | |
train_032132 | 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: Java
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": "Java",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 76fedf100e672d216f60656cfacd06e6726b5d45 | |
train_032133 | 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: 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.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | c6db0614138b51ac0f666d27da7398dacb868369 | |
train_032134 | 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: 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",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 7c37e065d5c25f70f685d7601795e27ea8bc9cbf | |
train_032135 | 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: 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": [
"research",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 8bbd228f493430a2cfdb672cbb19d3e6e66a0e75 | |
train_032136 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | tool_trace | expert | Task: tool_trace
Topic: Extended context, memory, and repo graphs
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"research",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | e5b2816267c1aae95aba6aeb48cf6d96f8645fc2 | |
train_032137 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | compare | expert | Task: compare
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Java
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": "Java",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | c9996a5e57c59ab7a19e9bfc20ab9198d9f6fb74 | |
train_032138 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | explain | advanced | Task: explain
Topic: Code-specialized model families and scaling laws
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": [
"research",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | d8068d9e283553ef183f3b7ee5134bda9d1294ff | |
train_032139 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | design | expert | Task: design
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
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": [
"evaluation",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 75df4fa54ac86caa3d576c3e0df50f3a3354d033 | |
train_032140 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | failure_analysis | advanced | Task: failure_analysis
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: C#
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": "C#",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | ed5013116567f7e5e181b17dcadb411298372be3 | |
train_032141 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | review | expert | Task: review
Topic: Secure code generation, red-teaming, and policy gates
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": [
"governance",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 46115203369fb54e6fd64d11bb7d11cf18531d55 | |
train_032142 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | review | expert | Task: review
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
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": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | d1edb0215a2340dea5dbf25a09cae6ee6f49ebea | |
train_032143 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | review | expert | Task: review
Topic: Failure engineering and resilience testing
Difficulty: expert
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",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | aa0f11aea096c6d88c443eba07bba6cdd3db6d50 | |
train_032144 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | code | advanced | Task: code
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 84bd4388c2f92075eb488c704e0b8a2008d61463 | |
train_032145 | 2026-01-01T00:00:00 | Self-grading and automated model critique | eval | expert | Task: eval
Topic: Self-grading and automated model critique
Difficulty: expert
Language: TypeScript
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": "TypeScript",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 701ad2c629f555aa0f0b5927158d856c96ae3109 | |
train_032146 | 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: 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": [
"research",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 793217a63d2b462523a1a7ee6457f9253e57a36f | |
train_032147 | 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: 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": [
"performance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 6a511b6d07ee7835a38e13e8ae636a050eaa9322 | |
train_032148 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | explain | expert | Task: explain
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: Go
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": "Go",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 529a5b86e9fd76f738230b1c66e62557f806f0a5 | |
train_032149 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | failure_analysis | advanced | Task: failure_analysis
Topic: Failure engineering and resilience testing
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | fd499a704f15acaae9798eb819997a4746fb0261 | |
train_032150 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | advanced | Task: data_pipeline
Topic: Latency, cost, throughput optimization
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",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 8a45c046a31a15052d95e187662198b7fef6ca04 | |
train_032151 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | eval | expert | Task: eval
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Go
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": "Go",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3ac6b3f17e6eb65309665bee6fcac11ce7dfb586 | |
train_032152 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | tool_trace | advanced | Task: tool_trace
Topic: Failure engineering and resilience testing
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | cfdd9a8946f663679322e61737a271a27e91108e | |
train_032153 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | failure_analysis | advanced | Task: failure_analysis
Topic: SWE-bench real-repo evaluation and leakage control
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": [
"evaluation",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | cf22b3555b3003bfc0f0bab94864e834c34eb1d7 | |
train_032154 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | agent_loop | expert | Task: agent_loop
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Go
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": "Go",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 21dcbed354e352d0e5d96ab4e8039c3c866f8c64 | |
train_032155 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | review | expert | Task: review
Topic: Governance, provenance, and audit logging
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": [
"coding",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | d60f9e591cfdb7efe3bc38c88530e23719597240 | |
train_032156 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | self_grade | advanced | Task: self_grade
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: JavaScript
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": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | b321806018e14cfb7423495c2c7fded660b1b917 | |
train_032157 | 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: 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": [
"agent",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 1884ea66f181918d66da06bbd9611e237918d6eb | |
train_032158 | 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: 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": "Java",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 58086daee3833a2b85c1074c9234a452c6d021e4 | |
train_032159 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | data_pipeline | expert | Task: data_pipeline
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: TypeScript
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": "TypeScript",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | da287370cd4be8a69b94240c39c90493f4d986d7 | |
train_032160 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | failure_analysis | advanced | Task: failure_analysis
Topic: Failure engineering and resilience testing
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 30ef96b77b8079c5ddf6f3055621c0cb513c70ec | |
train_032161 | 2026-01-01T00:00:00 | Self-grading and automated model critique | data_pipeline | expert | Task: data_pipeline
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Java
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": "Java",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | caf1218101c3c79a6d7c8d5c20f0f7c9b8d8f574 | |
train_032162 | 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: 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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"research",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 73a6f57777c73502af9461604f3a80096e0a442f | |
train_032163 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | review | advanced | Task: review
Topic: Model merging, distillation, and continual learning
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": [
"research",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 86b35cc38ea4e53ac41dd90db6eec27a408f0ef8 | |
train_032164 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | data_pipeline | advanced | Task: data_pipeline
Topic: Model merging, distillation, and continual learning
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": [
"agent",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 587d04af41e00de391dddb98b511f476d7a01ef5 | |
train_032165 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | advanced | Task: agent_loop
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": [
"research",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 2a5e6a2bab4b71f95e08c713647c506ef5c6d2d7 | |
train_032166 | 2026-01-01T00:00:00 | Self-grading and automated model critique | self_grade | advanced | Task: self_grade
Topic: Self-grading and automated model critique
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.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 22006aa20da29cdfb6852fc523ff495950a3ec61 | |
train_032167 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | data_pipeline | advanced | Task: data_pipeline
Topic: Failure engineering and resilience testing
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": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 89de146ee764a976e0199d0778ecddd9bca32c33 | |
train_032168 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | advanced | Task: code
Topic: Failure engineering and resilience testing
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": [
"governance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 804427cf691fe821f8277b9b162a33e2763d8f7c | |
train_032169 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | self_grade | expert | Task: self_grade
Topic: Extended context, memory, and repo graphs
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": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 4f5357ac83a68122cba6b419c457cd0af8a8958e | |
train_032170 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | patch_diff | expert | Task: patch_diff
Topic: Extended context, memory, and repo graphs
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": [
"performance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 5215f84b3fe0480cfd2f29d36b68594a65fb41a2 | |
train_032171 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | expert | Task: review
Topic: Self-grading and automated model critique
Difficulty: expert
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": [
"data",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 1ce215d6fddf32f07f107f38ec048154babef05a | |
train_032172 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | failure_analysis | expert | Task: failure_analysis
Topic: Model merging, distillation, and continual learning
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"security",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 8655c7f381305370f444320e5a92ec83a4ace1ca | |
train_032173 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | failure_analysis | advanced | Task: failure_analysis
Topic: SWE-bench real-repo evaluation and leakage control
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": 100,
"audit_required": true
} | 2a711daeff439f98d87ed5513aac64c55535903e | |
train_032174 | 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: 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": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 5a93f66acbc8e4e78d2e8d545fdd2b80eac0350a | |
train_032175 | 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: 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": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 56e53ec75c4678d381e990a1938f11e5d13733f8 | |
train_032176 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | design | advanced | Task: design
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 82fc84573e00f7f756b5973abdfde4cc8aa068f0 | |
train_032177 | 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: 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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"security",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 09ce332e093c3a895b33c24b7ba6be96685fad4e | |
train_032178 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | failure_analysis | advanced | Task: failure_analysis
Topic: Multi-agent coordination and role separation
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | f36105498e31936f17a1f3b6ba47543c42bce675 | |
train_032179 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "TypeScript",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 61a73b41560fa2a27ce320254e6ce229b3d1c498 | |
train_032180 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | advanced | Task: self_grade
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: TypeScript
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": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 5c4a0f8091e4d689a52777c90873151fab52bbea | |
train_032181 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | advanced | Task: eval
Topic: Failure engineering and resilience testing
Difficulty: advanced
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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | cc25394b54a2b484194354f497c0d285c4fac3b2 | |
train_032182 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | advanced | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Java
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": "Java",
"moe_experts": [
"security",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | abac62010f3e07961c02bc5e26bb861ec25eb68a | |
train_032183 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | code | expert | Task: code
Topic: Latency, cost, throughput optimization
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 2f2650310de2378a47a360bf7b6872e756c2af9b | |
train_032184 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | code | advanced | Task: code
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 42463af8a7e73857de1b3d4e68b132ce25808573 | |
train_032185 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | advanced | Task: self_grade
Topic: Latency, cost, throughput optimization
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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"data",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | fefdd458de10bd9e662ed965855c60613e128266 | |
train_032186 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | failure_analysis | expert | Task: failure_analysis
Topic: Model merging, distillation, and continual learning
Difficulty: expert
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 3882ae2aaa6f360bfbe0b049521b09a478e33dd7 | |
train_032187 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | expert | Task: design
Topic: Governance, provenance, and audit logging
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": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | bb0d883b0e47f67332bca244288376d08aabe75a | |
train_032188 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | data_pipeline | expert | Task: data_pipeline
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": [
"security",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 3bf6fa62347af14ce14b7d44bb043928768f766e | |
train_032189 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | self_grade | expert | Task: self_grade
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 75f2a7898e9d64fcad637281f6952c955eca8620 | |
train_032190 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | self_grade | expert | Task: self_grade
Topic: Extended context, memory, and repo graphs
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": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | d4152a9e142d577af002fc9fb87bb2ecf3506134 | |
train_032191 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | review | expert | Task: review
Topic: Multi-agent coordination and role separation
Difficulty: expert
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": [
"security",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 4b8cce441765b488888b191e53c4f70222ef3685 | |
train_032192 | 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: Go
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"governance",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 7d2811b9602f123574c395c303bd7bd25ea42469 | |
train_032193 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | expert | Task: eval
Topic: Failure engineering and resilience testing
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 2e932b57a5369934d2c93f012fae15fc5dfcb4a0 | |
train_032194 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | tool_trace | expert | Task: tool_trace
Topic: Code-specialized model families and scaling laws
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 91b7bcb9e68927178914d101858f88ebd4ca8c46 | |
train_032195 | 2026-01-01T00:00:00 | Self-grading and automated model critique | compare | advanced | Task: compare
Topic: Self-grading and automated model critique
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": [
"coding",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 144379d37767c9b0c8b609782e359489f634b7ce | |
train_032196 | 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: 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": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | e88669e8d422787fbe24c33b27cd065367a53d66 | |
train_032197 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 12dbf7db54a22e0e5d123d159f83937cf9af9e01 | |
train_032198 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 84eab9d1b7e53f96fea67dc002ebc3ec85faa1d8 | |
train_032199 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | self_grade | expert | Task: self_grade
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 104bc36f859e389c75dd470df6d08cba1b6e0280 |
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