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_024000 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | expert | Task: compare
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: 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": [
"performance",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 2329ce0ba2c5a3f3e218dc80d24369a18e09fa76 | |
train_024001 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | agent_loop | expert | Task: agent_loop
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | c5302d93bd823bf0a532f00c25723f6c9bf61a0e | |
train_024002 | 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": [
"evaluation",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 8add8a60a75552a9d0744abbef9b3e262bea8c92 | |
train_024003 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | advanced | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 6769d0be7123c4b4dc3d2839064eea306e4a0826 | |
train_024004 | 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: 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": [
"research",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | e36512f17f8586d789576dfe1d86eccc38e59da4 | |
train_024005 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | compare | expert | Task: compare
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 13a41df4127863aa563e39f71a999c415388ff67 | |
train_024006 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | eval | expert | Task: eval
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 9cad8d2db7a96cf886ede64355fd074d612b80db | |
train_024007 | 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: 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": [
"governance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | e03e16aa7fc0752e9dd0e9329f3de91d4b0bc7db | |
train_024008 | 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: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 7b1e9b3775af3cc7b96dd9cb5a15ffba35ae824f | |
train_024009 | 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: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"data",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | addb79a2d6ed9641da02250dbf6dab426592ecb1 | |
train_024010 | 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: 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",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | b26461888e1c2bde19818eea7f70b9168d3df771 | |
train_024011 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | code | expert | Task: code
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 9abb640b30e77b90a7efa637fd510c085165e790 | |
train_024012 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | explain | advanced | Task: explain
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 424565d7e8db39562040afb125af8f2731eff37e | |
train_024013 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | expert | Task: failure_analysis
Topic: Latency, cost, throughput optimization
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": 200,
"audit_required": true
} | 3cffa656bbc8560ad00b210a6f8f8a5a87ac472b | |
train_024014 | 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: 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",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 95d48bc8db66d80bd9a55c1a33103b919c05da58 | |
train_024015 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | design | expert | Task: design
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 1793d73fd443d51589cf6f63c1731efaa37b55bc | |
train_024016 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | data_pipeline | advanced | Task: data_pipeline
Topic: Tool calling protocols and sandboxed execution
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": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 1129f001ac8523ffbbedc073839d42ce607935fd | |
train_024017 | 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: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 2cfd709b5f0b7878635daedd111e50fa63a2bc2a | |
train_024018 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | patch_diff | advanced | Task: patch_diff
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Python",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 9c7703d27857930a8ee4b67e42423e7cc8978395 | |
train_024019 | 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: 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": [
"evaluation",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 9ad3a0107a2b361d8e1b5a860818a239fb3f3c6a | |
train_024020 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | explain | advanced | Task: explain
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": [
"evaluation",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 55572d4c785876e96d21a9e7730750a352ade8f2 | |
train_024021 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | tool_trace | advanced | Task: tool_trace
Topic: Dataset curation pipelines and quality attribution
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 753ef664629bf183ec322b99a78723491b9adde8 | |
train_024022 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | compare | advanced | Task: compare
Topic: Reasoning-first coding models and tunable deliberation
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": [
"evaluation",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 86df490cab05c156e863b16ff05a16a70231557e | |
train_024023 | 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: 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": [
"agent",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 8970a518a7b3c4bcbf9da7e494b2a519418c8fe5 | |
train_024024 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | self_grade | advanced | Task: self_grade
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: 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": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | cd6041aa1433163edffec462e4a1c4669d6e36e8 | |
train_024025 | 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: 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": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 5572610aa236981ee1a59a2f31bea94fa444aa4a | |
train_024026 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | patch_diff | advanced | Task: patch_diff
Topic: Code-specialized model families and scaling laws
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | c9d7a4af961c853f6117a86144e8dea86e1c0360 | |
train_024027 | 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: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 5e2abb525c66a163609a2589a5e8cf8bb0dfd7b2 | |
train_024028 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 65898ebbaa23aca13d2cadccc6463ea489b1c348 | |
train_024029 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | eval | expert | Task: eval
Topic: Extended context, memory, and repo graphs
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 1cf339998bfd226663070822199d2d5452e60eab | |
train_024030 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | compare | advanced | Task: compare
Topic: Failure engineering and resilience testing
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",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 601582afbb75fe3d919d91d00a9abaf42d24f4ce | |
train_024031 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | self_grade | expert | Task: self_grade
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: Rust
Context: 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": "Rust",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 89ad5ca7f4faab5cefbb01698596921b79cc269c | |
train_024032 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | review | expert | Task: review
Topic: Governance, provenance, and audit logging
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 2c9750148f8c60a8ca8def905d7b7fcdb61f3d3a | |
train_024033 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | advanced | Task: eval
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: Rust
Context: 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",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 2772d223a63a7da4a1a4cbde6efa7b8aeb5374c3 | |
train_024034 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | design | advanced | Task: design
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | ffcb8faf9beff9d1422eaabf7ac9f9daf994ec13 | |
train_024035 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | review | advanced | Task: review
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | b1cce3eeda4179a4fc0f8f06cce4a9d51197cfab | |
train_024036 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | tool_trace | expert | Task: tool_trace
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 9f7a94a121f4f3b45afa3ded47a3fa45982c39eb | |
train_024037 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | explain | expert | Task: explain
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | fa25138b6634b642946aa46eeded22dcf6b4f86f | |
train_024038 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | review | expert | Task: review
Topic: Latency, cost, throughput optimization
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": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 6c2c650b51fcb18419e25d2715bb4c415f28b8df | |
train_024039 | 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: 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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"research",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 186ca324894afb2f4ccca5e8729e2ea33d9b0116 | |
train_024040 | 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: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "TypeScript",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | ff0f05a289e46381775fac8ae43786704d1cc2da | |
train_024041 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | advanced | Task: eval
Topic: Failure engineering and resilience testing
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"security",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | dc8e01ae5d3d4d805a20cf9ca04c6c4fe513614a | |
train_024042 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | review | expert | Task: review
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 6b033b809ad11ea0fd288ccc28ce03d3d255fb19 | |
train_024043 | 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: 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": [
"research",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | a6e5d5c2d29e3c918eda0d329ed1ada007660206 | |
train_024044 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | patch_diff | expert | Task: patch_diff
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 8958ade8f909a2b30187e99dd6207a6059bc2d69 | |
train_024045 | 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: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 5dd674849312b44618a894a2e38f6dce0cef93b1 | |
train_024046 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | tool_trace | expert | Task: tool_trace
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 7d4c37ba9b79c30c636478373f002191048e6c2a | |
train_024047 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | patch_diff | advanced | Task: patch_diff
Topic: Failure engineering and resilience testing
Difficulty: advanced
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "SQL",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 6602d483f35ca02cfa76567283db04d5ef5f4a10 | |
train_024048 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "TypeScript",
"moe_experts": [
"research",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | efbf159dfde166d420dbd8f7372b5c70ee661717 | |
train_024049 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | patch_diff | advanced | Task: patch_diff
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 25554a303befebfd4fe0620d0751a856bf558353 | |
train_024050 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | tool_trace | expert | Task: tool_trace
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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"
... | {
"language": "Python",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | c3575b4d6b302f14cdfff28f4987e99c9bb564e7 | |
train_024051 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | tool_trace | advanced | Task: tool_trace
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Python",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 445ba238370a97c70114a91bd8a518ba68a59668 | |
train_024052 | 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: 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": [
"security",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 95021f07405593824c25208b3bfda150faea727b | |
train_024053 | 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: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | dd598adde0538a0bbfd43332c25f5362eab347b5 | |
train_024054 | 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: 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": [
"security",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 4e21352a2615381dd4bc7c7457888d20aa37fa6e | |
train_024055 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | explain | expert | Task: explain
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 62a926d0c029266fda5a8c14b73e837bc5a88463 | |
train_024056 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | tool_trace | expert | Task: tool_trace
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 9fca013a3dfcdbcbc44f0c4d103f9cfb931329f9 | |
train_024057 | 2026-01-01T00:00:00 | Self-grading and automated model critique | patch_diff | expert | Task: patch_diff
Topic: Self-grading and automated model critique
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": [
"agent",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 17ad1d38b008b53c504ed6564e8ce48b78db0bcc | |
train_024058 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | expert | Task: self_grade
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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | caf4fee417b52616f9d0a798aaeeb44fa9a1b1d4 | |
train_024059 | 2026-01-01T00:00:00 | Self-grading and automated model critique | tool_trace | advanced | Task: tool_trace
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | a0bdd068673cde5ebedb667f44f4768fbce1e5ec | |
train_024060 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 760981963b09cfe791bff811799f942a1b508718 | |
train_024061 | 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: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | bfda0c735509329ee19f2c10f0a3dd317aa6fe1c | |
train_024062 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | data_pipeline | expert | Task: data_pipeline
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 28a9c65649de84997a60f2a34a2829096105086d | |
train_024063 | 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: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 532ee40139520f7a09c01e7106c12904447a598e | |
train_024064 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | explain | advanced | Task: explain
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | bda3f4868313e2e2043e46b07db1a8c9f1220bde | |
train_024065 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | design | advanced | Task: design
Topic: Dataset curation pipelines and quality attribution
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": [
"agent",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | a179acb981927e01bbef94c0d0800b3d06f72780 | |
train_024066 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | review | expert | Task: review
Topic: Failure engineering and resilience testing
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": [
"security",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 7f049c7183f2750c2e96900976b2abc4b51299e0 | |
train_024067 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | code | advanced | Task: code
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Java
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 4068a1dd4a6e7f294afa29f2c1be297f8832bd27 | |
train_024068 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | design | expert | Task: design
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | ab1f01775266639a5cbc55c72a78efd97479eeb3 | |
train_024069 | 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: 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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | ab54060901754270eb4930d2f0d9ffc67130772c | |
train_024070 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | code | expert | Task: code
Topic: Model merging, distillation, and continual learning
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.
Code:
```python
def agent_loop(plan, edit, test, issue, budget=4):
cost = 0
for _ in range(budget):
p = plan(issue)
patch = edi... | {
"language": "Python",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 9f43964b17a3f05751808d66848a5e0f374bfaf3 | |
train_024071 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | tool_trace | expert | Task: tool_trace
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 28691fa73a02aa0cc4cf7fa0daed02d044af3659 | |
train_024072 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | design | expert | Task: design
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: SQL
Context: 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": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 73451f13dc74129e61d8fbc391271f5cc0a4776c | |
train_024073 | 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: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 6c2e393c9deba74872567815f918afc30c4f8432 | |
train_024074 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | review | expert | Task: review
Topic: Latency, cost, throughput optimization
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": [
"data",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 24cfc09f00ba3e9600765a1035b114b2ae79a319 | |
train_024075 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | compare | advanced | Task: compare
Topic: Reasoning-first coding models and tunable deliberation
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": [
"performance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 16cdb8403a7ff233b5283ccfc70ac56b7cedb635 | |
train_024076 | 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: 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": [
"coding",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 54e67118d68733263b1585a9989f5ff380ef2f25 | |
train_024077 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | explain | advanced | Task: explain
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: 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": [
"agent",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 9e9e07f06cd54b1a9322f7fdcc192a87088710ab | |
train_024078 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | review | advanced | Task: review
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 427e7c41854dddc4077c2f3770d1fa2a2707cf5b | |
train_024079 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | explain | advanced | Task: explain
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | bd12f9b46489ac8edfa806efc17bac0d1e1e601b | |
train_024080 | 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: 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",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | fc31c3ccb5398cb313384a760f6f5475d15b24fc | |
train_024081 | 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: 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": [
"agent",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 3eff1572354ea78aa37096a6825d7c488eedba0f | |
train_024082 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | explain | advanced | Task: explain
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: 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": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 9cc7d9df5bb143c7e83b8965a1eaee36f21f69e7 | |
train_024083 | 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: 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",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | e2cf6319b6f34e152774c9a5221d8df2108bc638 | |
train_024084 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | compare | advanced | Task: compare
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 2e4476e11ff4e78df74de6be019038392170d945 | |
train_024085 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | agent_loop | expert | Task: agent_loop
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: 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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | bb2cfe7c5105e2cb6862b959cf4336a20c1cdce2 | |
train_024086 | 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: 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": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 9398e6a0f0c7d88b54f22593d58e49616cc610d5 | |
train_024087 | 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: 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
} | 6a26409f8424407560bdbc3cb028048f3c810d7d | |
train_024088 | 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: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | bd52cca696f51c96a25df6a13c2f4a79672a9f9c | |
train_024089 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | tool_trace | expert | Task: tool_trace
Topic: Secure code generation, red-teaming, and policy gates
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | aff4052573abfa43b5cc1a0e020216cadb4698a2 | |
train_024090 | 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: 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": [
"evaluation",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 8ca683f8d11247b9f39e7670c6549dabd12a7130 | |
train_024091 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | review | advanced | Task: review
Topic: Latency, cost, throughput optimization
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": [
"research",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 20b95cad86311b865d68b9fb39b0dd9c985a05f7 | |
train_024092 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | explain | advanced | Task: explain
Topic: Reasoning-first coding models and tunable deliberation
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": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 6173472dff30c904adb5c0d4f1de47630c502ab7 | |
train_024093 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 2ed845100c01ddc480b90dd93644c999e565af58 | |
train_024094 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | af39fe9bf50d22cd2177a3e5c0973eef18c7f41f | |
train_024095 | 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: 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": [
"performance",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 710879a07e2e5af5f6b029d4285898e3f6267423 | |
train_024096 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | failure_analysis | expert | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 8e15e86c6aaa62a9bb14ee5a7c708ca5a4a0758b | |
train_024097 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | patch_diff | advanced | Task: patch_diff
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "SQL",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | ffd188ebcb89435baa962b7937aeaf9d802162d2 | |
train_024098 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | code | advanced | Task: code
Topic: SWE-bench real-repo evaluation and leakage control
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": [
"research",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 2ec6001b62c95241772c67747bd9f4b72e791bfb | |
train_024099 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | self_grade | expert | Task: self_grade
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.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | fa9104ac8170e22f4826bec78cf17b19e4fd6a02 |
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