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_076600 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | review | advanced | Task: review
Topic: Tool calling protocols and sandboxed execution
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": [
"coding",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | c66aac5bcbc9f8a9be66ccd2843c09c5ea805fb1 | |
train_076601 | 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: 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": [
"data",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | cb57b467a72dfeb44c482c8f714d9d226f3d38e5 | |
train_076602 | 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: 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": [
"coding",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 84cb3befa7f9e4ac59ca95471b43508e8c2b72d7 | |
train_076603 | 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: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"data",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | cb559a36a183cd3c91031d76c06ab39572a91ef5 | |
train_076604 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | review | advanced | Task: review
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 8214a4354fb73e0efaac5531bf80b8e037a94135 | |
train_076605 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | design | advanced | Task: design
Topic: Code-specialized model families and scaling laws
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": [
"data",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 4c2f1003f0e0d351b9231d58d1b8f469396f7967 | |
train_076606 | 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: 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": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 735d362c5980bd72af6792bc20b52c782b6f5abc | |
train_076607 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | data_pipeline | expert | Task: data_pipeline
Topic: Governance, provenance, and audit logging
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": [
"governance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 2117c4da758236600aae5bd37542b353887601bf | |
train_076608 | 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: 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": [
"security",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8db1c37c9e0e095829fd41340674ec7f515a381b | |
train_076609 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | advanced | Task: code
Topic: Tool calling protocols and sandboxed execution
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 9f2ac2dd49c9b6f16c129aff9d0fde4fcf888c2e | |
train_076610 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "C#",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 20ac7f1820778e8b7877adc65ebeac6dc23222ee | |
train_076611 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | design | expert | Task: design
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
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": [
"evaluation",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | d95d3dfa14798586f1207f103be0f186a41d7ca5 | |
train_076612 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "SQL",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 9c7b7fbccd56ca19e6ca2b089127bd9a5da5163b | |
train_076613 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | agent_loop | expert | Task: agent_loop
Topic: Governance, provenance, and audit logging
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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | dd3c38e342c1a18018116932a5ae585dc8cf0cb8 | |
train_076614 | 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: 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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 0ad38ea133e64d531f78ba1e0127e79de43adb58 | |
train_076615 | 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: 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": [
"performance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | e45dc320c6cbbb6131a9f28426283922d3032a4e | |
train_076616 | 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: 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": [
"research",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | ffdff43e7600ee84ebc24eebb907af151bd038b7 | |
train_076617 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 91e1c57dd073455face7984c8f707e62ffb11c05 | |
train_076618 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | code | advanced | Task: code
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
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": [
"research",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 6edc00799b28e0ca20c570020a4f93f855658bf4 | |
train_076619 | 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: 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",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | fb24dbdcb44a0e24f2abc7e3089a2fa585096ff5 | |
train_076620 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | patch_diff | expert | Task: patch_diff
Topic: Dataset curation pipelines and quality attribution
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | c4430fdcfb9b72a6384adaf033fe7364efca5d21 | |
train_076621 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | advanced | Task: failure_analysis
Topic: Latency, cost, throughput optimization
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": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 7dbdef615cb2e994d20af6d5591d3f953da0c56d | |
train_076622 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | explain | expert | Task: explain
Topic: Tool calling protocols and sandboxed execution
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",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | b6b4482644dbbec0272dda8dfa4168245d1c3e17 | |
train_076623 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | agent_loop | expert | Task: agent_loop
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": [
"agent",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 51b8993ef5755a7e1533751a283550bed38355bd | |
train_076624 | 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: 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": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 2c034c64c0c4c206b0481b8a2ac9f0bc593c5ba2 | |
train_076625 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | patch_diff | expert | Task: patch_diff
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | d60e80d5a7e4f718ff47a51255a08ef1273acb1f | |
train_076626 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | self_grade | expert | Task: self_grade
Topic: Multi-agent coordination and role separation
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 083a7d0bbdef270ddb146e96c2b0259aa157803a | |
train_076627 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | tool_trace | expert | Task: tool_trace
Topic: Failure engineering and resilience testing
Difficulty: expert
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": [
"governance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 7f50ab33604e31dd97b1b9a27d122d5f2e38c4a7 | |
train_076628 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | review | advanced | Task: review
Topic: Mixture-of-Experts (MoE) routing and sparsity
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",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | ba3532ba3b9015933b00ab517554cf21d6436398 | |
train_076629 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | tool_trace | advanced | Task: tool_trace
Topic: Reasoning-first coding models and tunable deliberation
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 872002077d630b0d0a16addcdebbf26e9a9043fb | |
train_076630 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | failure_analysis | expert | Task: failure_analysis
Topic: Failure engineering and resilience testing
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 024f90b6a3aaa8cac3b99284bf6cb75cf12ee399 | |
train_076631 | 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: 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": [
"performance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | b207dd070bb30fe1e3bc56bd45341782b41ca77e | |
train_076632 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | expert | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 32cc996e22fe1938d1840163b7304c6983260166 | |
train_076633 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | design | expert | Task: design
Topic: Extended context, memory, and repo graphs
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": [
"agent",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 4c001b963af9ecde9d36065917db39e0ef7e5375 | |
train_076634 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | explain | advanced | Task: explain
Topic: Latency, cost, throughput optimization
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": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 4c2d7e98302e1a276b7ab725b2627481d2b6f1be | |
train_076635 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 099083244e40cc204a92642a709b826d79e4a19b | |
train_076636 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | patch_diff | advanced | Task: patch_diff
Topic: Reasoning-first coding models and tunable deliberation
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 0a111ab719ae208ac3e48c78bb8bb321999534ba | |
train_076637 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | advanced | Task: patch_diff
Topic: Latency, cost, throughput optimization
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",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | be1818ed58696c1e96f599a4537cd81d52fd035b | |
train_076638 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | eval | advanced | Task: eval
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | a8d93b2186051e90e1712e9954f7d583809f6c0c | |
train_076639 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | eval | expert | Task: eval
Topic: Model merging, distillation, and continual learning
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | c0b084c12c1637a6c5b3352074dbec491b62192e | |
train_076640 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | b8bf08748500a1dd384f640bcd10f36a43bf8b93 | |
train_076641 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | eval | expert | Task: eval
Topic: Mixture-of-Experts (MoE) routing and sparsity
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 42a93429fcd1fb8f5b1bb4b91a329c228c117ec2 | |
train_076642 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | explain | expert | Task: explain
Topic: Agentic coding systems (plan→edit→test→reflect)
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | a99ef7ea644485bfaa16070f773c6a1b766a8e45 | |
train_076643 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | self_grade | expert | Task: self_grade
Topic: Code-specialized model families and scaling laws
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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 5fa493ab4a062812d5817e0b57f00ea790a69a49 | |
train_076644 | 2026-01-01T00:00:00 | Self-grading and automated model critique | tool_trace | expert | Task: tool_trace
Topic: Self-grading and automated model critique
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "C#",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | f19c0b3d3c121a4c482abab72f7b48167b7e552f | |
train_076645 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | design | expert | Task: design
Topic: Reasoning-first coding models and tunable deliberation
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": [
"coding",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 6ef328a86a1f8749784f01fe41f154536141e5e3 | |
train_076646 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | failure_analysis | expert | Task: failure_analysis
Topic: Governance, provenance, and audit logging
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 5be0aaaa98833ecdeca2a3ce00e533bd8576ed1b | |
train_076647 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | expert | Task: patch_diff
Topic: Latency, cost, throughput optimization
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Python",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 9f6173d81c1f48040a6585ea16b1222c38da96c1 | |
train_076648 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | data_pipeline | advanced | Task: data_pipeline
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
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": [
"performance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 06aa0ac0fdcd02a8f7d0dd1b4f467e23aab20aa6 | |
train_076649 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | explain | expert | Task: explain
Topic: Multi-agent coordination and role separation
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": [
"security",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | b5bc7a0b7c77a0cbaf5e0e64dd300e6b98735dc2 | |
train_076650 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"security",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 8a04e0f5ed56c80aa8f0dceb7b61458aac9655ec | |
train_076651 | 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: 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",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 6daaf2f50e2f2f3620fa5058ac52b32caee5a2b0 | |
train_076652 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | advanced | Task: data_pipeline
Topic: Latency, cost, throughput optimization
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 3937eec7ee82437de3baadba455ab88fe370faa2 | |
train_076653 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | explain | expert | Task: explain
Topic: Code-specialized model families and scaling laws
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": [
"security",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | dda8c3b61d0a3f29fa314415f50ae063f3a235d3 | |
train_076654 | 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: 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": [
"security",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 9913852c96e08c292095181b215c0eac41d38a96 | |
train_076655 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | code | advanced | Task: code
Topic: Agentic coding systems (plan→edit→test→reflect)
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": [
"data",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 938117ae8b4dc738ca09042403e5b07265761500 | |
train_076656 | 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": [
"evaluation",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 2a5e6a2bab4b71f95e08c713647c506ef5c6d2d7 | |
train_076657 | 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: 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": [
"performance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 51d90dba672e17ad42bc8ef405b6f17f7658f981 | |
train_076658 | 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: 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": 4,
"latency_ms_target": 50,
"audit_required": true
} | f9145469b2597fe7a8d8fbed24a577e64b7c74b1 | |
train_076659 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | self_grade | advanced | Task: self_grade
Topic: Model merging, distillation, and continual learning
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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 0b08d47630d1d5fdd333b1fa99aa09b6d4dbae19 | |
train_076660 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | expert | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
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": 3,
"latency_ms_target": 200,
"audit_required": true
} | 822b51e748e41016ca12f05d9e182553579ceed5 | |
train_076661 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | data_pipeline | advanced | Task: data_pipeline
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": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | b7ef183b50381f5085d45d921762e8a695b4f1f3 | |
train_076662 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | d1034888fd712dd3021268ec79a4ab1adbe73b6a | |
train_076663 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | eval | expert | Task: eval
Topic: SWE-bench real-repo evaluation and leakage control
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 4c3d030ee7abd59074fbd3484a00d445efdf9756 | |
train_076664 | 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: 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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 44081405181e831e28712ed9197e8d6271b24bf9 | |
train_076665 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | tool_trace | expert | Task: tool_trace
Topic: Latency, cost, throughput optimization
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": [
"research",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | c8531e5bb07c478426535a667c6ad512b616210b | |
train_076666 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "TypeScript",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 2f3f97958568ee58b245dbe80e7a5a60d8734347 | |
train_076667 | 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: 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": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 695b71e52cd13da996557dcf72f967e7eb874252 | |
train_076668 | 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: 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": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 22185c2030a1dc50aa62a4db5e5dcf44bcc23ded | |
train_076669 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | expert | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
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": [
"coding",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 0023e937e42e8adbd0b27b79094e993986e673e5 | |
train_076670 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | review | expert | Task: review
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"data",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 30de296356e651c549c30a3e0df3d74104c2feb2 | |
train_076671 | 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: 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": [
"research",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8add8a60a75552a9d0744abbef9b3e262bea8c92 | |
train_076672 | 2026-01-01T00:00:00 | Self-grading and automated model critique | data_pipeline | advanced | Task: data_pipeline
Topic: Self-grading and automated model critique
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",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 5845d0c25f499af36bb35709cfdaacbfc4c88bc9 | |
train_076673 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"security",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 0238c469819413189826a755bd24eb0b2c984a3c | |
train_076674 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | review | expert | Task: review
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": [
"performance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | c6dee73cb1a6fb807bbbdc201484bd3c09068d9a | |
train_076675 | 2026-01-01T00:00:00 | Self-grading and automated model critique | data_pipeline | advanced | Task: data_pipeline
Topic: Self-grading and automated model critique
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 67debe6bb0a6f2d29649d25b23ea15455d5e19e9 | |
train_076676 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | c7957509b38ce658cacd7b84a1cdbb0e22900407 | |
train_076677 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | code | advanced | Task: code
Topic: Agentic coding systems (plan→edit→test→reflect)
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": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 4d84188fd7ff3ea0a798583b71917ae9927a2f48 | |
train_076678 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | c26fab5a069aaecda2fbf5ac5e97e164fa54dc36 | |
train_076679 | 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: 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": [
"agent",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 57f0a3721e3e58d64559d4e481e2cc9f81b75abe | |
train_076680 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | patch_diff | expert | Task: patch_diff
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | ba47cf720cb790907620a804e2edde7c9d41b66c | |
train_076681 | 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: 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": [
"data",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 592c9ac371ff11ffb7f0db0a3d4b7b3c1619c4e1 | |
train_076682 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 63f5fc8e110c2651d97ad904b58c1d07aa32e574 | |
train_076683 | 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: 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": [
"research",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | f3b259a3691623114b7ef65c63ec6cb2f8907b78 | |
train_076684 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | explain | expert | Task: explain
Topic: SWE-bench real-repo evaluation and leakage control
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",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 6da05c87080caca3fb23c7aeb4666eaf3608096f | |
train_076685 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | explain | expert | Task: explain
Topic: Governance, provenance, and audit logging
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": [
"data",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 54678bded36fae309b4763248cff59fc78daf49a | |
train_076686 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | eval | advanced | Task: eval
Topic: Multi-agent coordination and role separation
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": [
"coding",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3d9280d56f6a77443c4c50685eec0463fb5dae6d | |
train_076687 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | eval | advanced | Task: eval
Topic: Secure code generation, red-teaming, and policy gates
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 1f063f6027f1977d1651be436ad221ef85a2b2c4 | |
train_076688 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | agent_loop | advanced | Task: agent_loop
Topic: Multi-agent coordination and role separation
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": [
"performance",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | b61425a320a3a8ae096f733d2e8b74e285058153 | |
train_076689 | 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: 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",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 1bec3c9145d459f01827511a63145fa91ccd645a | |
train_076690 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | expert | Task: patch_diff
Topic: Multi-agent coordination and role separation
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 653b47c354321e9205cd6a447d44c4b2d132f653 | |
train_076691 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | data_pipeline | expert | Task: data_pipeline
Topic: Governance, provenance, and audit logging
Difficulty: expert
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": [
"coding",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 7ba2aca6112ce031342472d5785e99066b536886 | |
train_076692 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | expert | Task: eval
Topic: Governance, provenance, and audit logging
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | c7c15200eb61887ec67019e37bd65e50f813b5d4 | |
train_076693 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | agent_loop | expert | Task: agent_loop
Topic: Dataset curation pipelines and quality attribution
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",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | c56a2ca0977cafbffb053a84011815680ee61913 | |
train_076694 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | patch_diff | expert | Task: patch_diff
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 539b7d8f709f31ce8cd27ddb9cf102f8ad7fb5d2 | |
train_076695 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | data_pipeline | advanced | Task: data_pipeline
Topic: Governance, provenance, and audit logging
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 78c45da103f8b4a7c9323abd068564cb207a7f4c | |
train_076696 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 02d0be48cc7f33c0d391bcf432c780c5ac0656dc | |
train_076697 | 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: 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": [
"performance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | d2d8af8162a3626b72a91fde0b779a3620865b56 | |
train_076698 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | self_grade | advanced | Task: self_grade
Topic: Governance, provenance, and audit logging
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | e645d31233f5bd1f5b5d429d5a854c00eaf72592 | |
train_076699 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | compare | advanced | Task: compare
Topic: Extended context, memory, and repo graphs
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",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | fb028fdfd370fcb9e5319ba5edc1bac8c811ad60 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.