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_097300 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | self_grade | expert | Task: self_grade
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"data",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | a3aa5beb518b82a98112b4e788ba11bef50f51e3 | |
train_097301 | 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: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | cdb847e617557513baad282620f9f408aaffd639 | |
train_097302 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | code | expert | Task: code
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 6e1acbc13a7f640dc7f89b86c06e4fc24926de0a | |
train_097303 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | review | expert | Task: review
Topic: Failure engineering and resilience testing
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": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 182481d13560aead7bbc910f549798032110f9ff | |
train_097304 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | compare | advanced | Task: compare
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 92e189cfc14d8bdb02e0c3f26a7a21e42ac1abff | |
train_097305 | 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: 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": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 88399b120fe5d35a75af52f82193878dfe08f4fa | |
train_097306 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | advanced | Task: data_pipeline
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | b31dff83c8611cc6123754e31e1ebcb4ecb8417d | |
train_097307 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | design | expert | Task: design
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: 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": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | a84e80be3d6941c6fa3d86a61496490f6ad45e0a | |
train_097308 | 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": [
"performance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | b5de936e1783decf9280fea32355b8d933cb7d2c | |
train_097309 | 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: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | fa5db579de9b347779b242c3dca2ac6769688c74 | |
train_097310 | 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: 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": [
"agent",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 926fbfe2af32eb82a6ecfa3e131074af63a52597 | |
train_097311 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | review | advanced | Task: review
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: 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": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | c201c8a223cd6e32fae139135e515d7889b36b88 | |
train_097312 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | code | expert | Task: code
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"research",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 1a958eeab662b518fc625a7e96c0b60a5e738520 | |
train_097313 | 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": [
"governance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 91e1c57dd073455face7984c8f707e62ffb11c05 | |
train_097314 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | advanced | Task: review
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 55ba7cb1bbf697f52807962c0df8ad0fae1d6002 | |
train_097315 | 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: 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": [
"coding",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | ddfa54d472e29826ad0c6086f108b71923c15d55 | |
train_097316 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | tool_trace | advanced | Task: tool_trace
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
}
},
{
"tool": "apply_patch",
"args": {
"files": 1
}
},
{
"tool": "run_tests",
"args": {
"suite": "full"
}
}
] | {
"language": "Bash",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 1d82297ee28c9c269ea502c7013fca1017f852e8 | |
train_097317 | 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: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"governance",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | b411bd616eff37d208147f8d444c9b55ca4c78a3 | |
train_097318 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Python",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | a8deeff04311b85b9ba6469f967ca5cf4f9a59fc | |
train_097319 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | expert | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | ea716d28335c4861bbcce4ec36b8f4a9ed99fe23 | |
train_097320 | 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: 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": [
"research",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 3aac82a2f3cd5e9624bed581e9c69929fb25ea02 | |
train_097321 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | tool_trace | advanced | Task: tool_trace
Topic: Secure code generation, red-teaming, and policy gates
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
}
},
{
"tool": "apply_patch",
"args": {
"files": 1
}
},
{
"tool": "run_tests",
"args": {
"suite": "full"
}
}
] | {
"language": "TypeScript",
"moe_experts": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 553f5e7864fefb22e0fba08f75dba8157ad43310 | |
train_097322 | 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: 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": [
"data",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 550c3f41e42369542a16945aa7ca6a69d919866e | |
train_097323 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | advanced | Task: review
Topic: Self-grading and automated model critique
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": [
"data",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | defa65891460319bd6ab099a13875ac1b990c554 | |
train_097324 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | review | expert | Task: review
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 7c695b37a770efc74ed866dd503e1a079898674c | |
train_097325 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | expert | Task: eval
Topic: Failure engineering and resilience testing
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": [
"performance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 6e74c838e27c32dd5e491115a2b7fc8a5c6b4bcd | |
train_097326 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | agent_loop | advanced | Task: agent_loop
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": [
"research",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | a6c6f95af1df7222b17dc50daf8dd8a675ee5d0f | |
train_097327 | 2026-01-01T00:00:00 | Self-grading and automated model critique | explain | advanced | Task: explain
Topic: Self-grading and automated model critique
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": [
"evaluation",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 918f0f86373f55a1ea3773f5867b398bc4b97c5b | |
train_097328 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 1329a56bbc2f0e52af34a6c7863b4e919b37dcf3 | |
train_097329 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "TypeScript",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 32291173d23a5779b65055ce7ae605cada9909e2 | |
train_097330 | 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: 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": [
"agent",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 531469944fca36a8c88e3b5e754b6cff8967b341 | |
train_097331 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
}
},
{
"tool": "apply_patch",
"args": {
"files": 1
}
},
{
"tool": "run_tests",
"args": {
"suite": "full"
}
}
] | {
"language": "Rust",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | e3cea6e1a79ddfffcf9a05994cb16e6997d4f265 | |
train_097332 | 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: 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": [
"agent",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | b1654f03f14dac7a86613e0f6704515a254993c9 | |
train_097333 | 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: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 1b94df5cf69d341fc66f42d3988822190a4d943b | |
train_097334 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | review | expert | Task: review
Topic: Agentic coding systems (plan→edit→test→reflect)
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": [
"governance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | b9150124c9f85120997d2ba649ca7bce904ca03b | |
train_097335 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | advanced | Task: review
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": [
"agent",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | d47ef5ee6efdae5b2775f9d7c75de3060251ddf4 | |
train_097336 | 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: 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": [
"performance",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | c2e17d1eaaa67204f398d73e91dfa95b526b62d8 | |
train_097337 | 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: 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",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 02cf08cfa45520ab9a44928eecc6501a30cedccf | |
train_097338 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | advanced | Task: patch_diff
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Rust
Context: 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": [
"research",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 45c8d503212f49b9bfcd75b0fa2a6defdaf6f1bc | |
train_097339 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | eval | advanced | Task: eval
Topic: Dataset curation pipelines and quality attribution
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | f8eb40a2a05c85395626382ceafa5dd3791861dd | |
train_097340 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | expert | Task: code
Topic: Failure engineering and resilience testing
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": [
"evaluation",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8822383f2c2ac0c8cc0851461483ab2a72a732e0 | |
train_097341 | 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: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "SQL",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 5da5fab315994ea277695a537dde33442bae2bb6 | |
train_097342 | 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: 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": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | dd129c8a47c9cbe7c4b669be48ce6e6bc5248a19 | |
train_097343 | 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: 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": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | b43770ec17ea63d2d99694ddedd70a21679167ce | |
train_097344 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | failure_analysis | expert | Task: failure_analysis
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | bd25d1bb807db30e2fde4c8c2e33a98906310155 | |
train_097345 | 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: 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.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | d19d086196579053f1dcd3ae38eecd373b245950 | |
train_097346 | 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: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | de61764b03b02bb557e59aedd63c09d3c9c674bb | |
train_097347 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | advanced | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | ecdecd0fe64dca4270a3ebedb5026bb9d197762c | |
train_097348 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | tool_trace | advanced | Task: tool_trace
Topic: Extended context, memory, and repo graphs
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
}
},
{
"tool": "apply_patch",
"args": {
"files": 1
}
},
{
"tool": "run_tests",
"args": {
"suite": "full"
}
}
] | {
"language": "Rust",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 54d6460ee50b98250b8d91f4d7c5abf4d4104b70 | |
train_097349 | 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: 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": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | f7567bb3ecb348a067748000f2c725262b122af6 | |
train_097350 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | compare | expert | Task: compare
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: Rust
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 0bd5412f282004b14783bd811986fdc53aa5558c | |
train_097351 | 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: 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": [
"governance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 291d59b5a45c9a95aaa3020f99c5b550abb5bba2 | |
train_097352 | 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: 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": [
"evaluation",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 8e1017c5215d5c319cd4d07281a2eb63dbbf3904 | |
train_097353 | 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: 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",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | b0a4a6b51bf4fbad49e0e1bb02b84c9f3df7e92a | |
train_097354 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | expert | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Go
Context: 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",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | ccfeefe787988396e4e6624b87e3dd1e8e1ab4de | |
train_097355 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | patch_diff | expert | Task: patch_diff
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 53c01646f6a61c90c24d70b765d94ceadf889e24 | |
train_097356 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | review | advanced | Task: review
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 8fc8d6616db2578eccb103b58a88af1c0c035e1b | |
train_097357 | 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: 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": [
"evaluation",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 91aa7fe284bfd222eb9392398b42769c36592f9b | |
train_097358 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | review | advanced | Task: review
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 46320e9b208e07cd53bcb781d399554d06a0af42 | |
train_097359 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | patch_diff | expert | Task: patch_diff
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"evaluation",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 09ee9381369da08f3351be8a2f743ca853192597 | |
train_097360 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | compare | expert | Task: compare
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 7e4e00facad69e930dbd4d4afef71b7c9a8e6fa7 | |
train_097361 | 2026-01-01T00:00:00 | Self-grading and automated model critique | explain | advanced | Task: explain
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"data",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 6dcc9ca796c3a8b7d7179798b36ac7ed46dcbc0a | |
train_097362 | 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: 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": [
"agent",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | deaf0634c1b2e36ea78a260568027a6e4d8184d7 | |
train_097363 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | agent_loop | expert | Task: agent_loop
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: Go
Context: 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": [
"governance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 388929d7d5a69d45ff0ef9609b6e51d36352b27d | |
train_097364 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | design | expert | Task: design
Topic: Secure code generation, red-teaming, and policy gates
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",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 1caf19dd237498d88d1ed4f2f73b811f1cc9d70e | |
train_097365 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | agent_loop | expert | Task: agent_loop
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 1b97eb963f1e8ee0072b68a8d1d765721804590e | |
train_097366 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | compare | expert | Task: compare
Topic: Multi-agent coordination and role separation
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",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 173d54ed4e75f02d6383930bdaa2104f9b4316e3 | |
train_097367 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | tool_trace | expert | Task: tool_trace
Topic: Tool calling protocols and sandboxed execution
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
}
},
{
"tool": "apply_patch",
"args": {
"files": 1
}
},
{
"tool": "run_tests",
"args": {
"suite": "full"
}
}
] | {
"language": "Python",
"moe_experts": [
"data",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | d60bc1ea948006d53dbfba99ed1d7ac5002c02a7 | |
train_097368 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | data_pipeline | expert | Task: data_pipeline
Topic: Tool calling protocols and sandboxed execution
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a9cdd1b86c416a8460548c1cdc220827cc7aace2 | |
train_097369 | 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": [
"data",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 56a0059adc06dc0afd3bce6e0bbf9d21381c1cc0 | |
train_097370 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 61ac6a5b200594613214f2e5d45f6b5463f0bb91 | |
train_097371 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | advanced | Task: patch_diff
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"data",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 75faacb7ca8e689025382184c45a5954c6b41eee | |
train_097372 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | tool_trace | advanced | Task: tool_trace
Topic: Code-specialized model families and scaling laws
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
}
},
{
"tool": "apply_patch",
"args": {
"files": 1
}
},
{
"tool": "run_tests",
"args": {
"suite": "full"
}
}
] | {
"language": "C#",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a29c86f34f1944f55bee9a8335e31a49de69d2e2 | |
train_097373 | 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: 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": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 73f454f211e015a0d9038fa8ba91599ce4b68a6c | |
train_097374 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | code | advanced | Task: code
Topic: Multi-agent coordination and role separation
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": [
"security",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 6e9112ea814e01faf76bd8f5d4aba6b883131701 | |
train_097375 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | review | expert | Task: review
Topic: Agentic coding systems (plan→edit→test→reflect)
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": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 9f4ba7aec51ccf7ea5a3fcb7576edaccdb1d8af8 | |
train_097376 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | code | expert | Task: code
Topic: Governance, provenance, and audit logging
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": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 6a0239bc8b675fdc37d8022d1a8aa2dd25426267 | |
train_097377 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | code | advanced | Task: code
Topic: Model merging, distillation, and continual learning
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",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 6d9a03d6a97049380f7ddcdc55a404a6e7788151 | |
train_097378 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | explain | advanced | Task: explain
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",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 8cb0272628817cd8d82669e5b97dd68afb2fc1a2 | |
train_097379 | 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: 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": [
"agent",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 3f908c1360903ac889877d1ec89c0c9754cc86f6 | |
train_097380 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | code | expert | Task: code
Topic: Secure code generation, red-teaming, and policy gates
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.
Code:
```python
def agent_loop(plan, edit, test, issue, budget=4):
cost = 0
for _ in range(budget):
p = plan(issue)
patch = edit(issue, p)
ok, _ = test(patch)
cost += 1
if ok:
return patch, cost
raise RuntimeError("Budget exhausted")
``` | {
"language": "Python",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 4607d6d5357135e047fc12666effd1514887df97 | |
train_097381 | 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: 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",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | a659e7e923c4f470c12f510e51c3949c3d64d07f | |
train_097382 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
}
},
{
"tool": "apply_patch",
"args": {
"files": 1
}
},
{
"tool": "run_tests",
"args": {
"suite": "full"
}
}
] | {
"language": "Python",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 1d993443d75a272b4719925bba480c61a199a576 | |
train_097383 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | review | expert | Task: review
Topic: Tool calling protocols and sandboxed execution
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",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 9f76a7db78be1cfbaf0c4e3cc7e5aedce0cb6507 | |
train_097384 | 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: 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": [
"coding",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 89f9f9498e261914daa3597487f9a867cfd79ab7 | |
train_097385 | 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: 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": [
"security",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | cdb8a13e270e290d4803de156dabec8865f1ef2e | |
train_097386 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | agent_loop | advanced | Task: agent_loop
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"research",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 2cefa1f301cee12d3084a0050f3fd8b968a435fb | |
train_097387 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | patch_diff | advanced | Task: patch_diff
Topic: Mixture-of-Experts (MoE) routing and sparsity
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"security",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | a0bba63280841063c47f433dff0f42271ee9beb6 | |
train_097388 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | eval | advanced | Task: eval
Topic: Extended context, memory, and repo graphs
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 0c018bd753dab4455ab66dac5e0705b441f6ab90 | |
train_097389 | 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: 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",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 0aff886fcdfbc43521a801dbc891b815a9b357ea | |
train_097390 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | compare | advanced | Task: compare
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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": [
"agent",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 4e6b2197ef70af333afcf18dcf284f6f100ea01d | |
train_097391 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | design | expert | Task: design
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: 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": [
"agent",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 940d788056fdb513c5e4d501d877bc6f99dff983 | |
train_097392 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | self_grade | expert | Task: self_grade
Topic: Model merging, distillation, and continual learning
Difficulty: expert
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.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 55af9d953317d30b6a2bb5b8b1f5bd8667486276 | |
train_097393 | 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: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 5ed5e5f9707ab08f4d305226cfee8365b367c009 | |
train_097394 | 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: 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": [
"coding",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 2ed4ca1dcf9b4b7b07c908505b47d46d5008a6fa | |
train_097395 | 2026-01-01T00:00:00 | Self-grading and automated model critique | compare | expert | Task: compare
Topic: Self-grading and automated model critique
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": [
"agent",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | e0a33d8b7c16b7f2a206f8cdd15da982638e85f7 | |
train_097396 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | agent_loop | advanced | Task: agent_loop
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"governance",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 37f5703effac9cad12af92bf0c1bb9597ac42185 | |
train_097397 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | failure_analysis | expert | Task: failure_analysis
Topic: Secure code generation, red-teaming, and policy gates
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "C#",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 319a6ae90ca1ebcc56a7a7b715bc2c90bfac7f67 | |
train_097398 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | failure_analysis | expert | Task: failure_analysis
Topic: Reasoning-first coding models and tunable deliberation
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "C#",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | d7c57de796694f28b89ca762aeedb9cd321759c7 | |
train_097399 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | self_grade | expert | Task: self_grade
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 66346e0768d4032bb15fffa1f479d0d3d941996e |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.