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_070200 | 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: 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",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 6b393496ca8fec8334ba2626e0b114c5f1741adf | |
train_070201 | 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: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | d24c60737921f63b931ec208231f528c3d75e595 | |
train_070202 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | review | advanced | Task: review
Topic: Failure engineering and resilience testing
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",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | a2773dea1b42186e6b70778ca93516f563516eef | |
train_070203 | 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: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f9f8909c628b6fdec2fb3ea155bbba8b32e52808 | |
train_070204 | 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: 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",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | ac81d0ddda075c6662bad332dcfee5d3917229fe | |
train_070205 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | agent_loop | advanced | Task: agent_loop
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": [
"performance",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 82b03c12f982747cbc1e2f74ead3fe0b9ffc4e45 | |
train_070206 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | agent_loop | advanced | Task: agent_loop
Topic: Governance, provenance, and audit logging
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": [
"security",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 638a76f9c4d2c1b848109f389ab21e3465eb8389 | |
train_070207 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | code | advanced | Task: code
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"security",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 751d5b9e2965825ac565726e25709baa9df614d6 | |
train_070208 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | failure_analysis | advanced | Task: failure_analysis
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "TypeScript",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 302ce8822af15052766544a1983cf027d68db59b | |
train_070209 | 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: Go
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"research",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | c6a018fc6a6e0629efc87652337c153cbba0531c | |
train_070210 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | advanced | Task: compare
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | a097d7d42ee89ce25667fca7b37a5b7da0a30a78 | |
train_070211 | 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: 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": 4,
"latency_ms_target": 200,
"audit_required": true
} | 28da167b0f912c90c4d5c41885c608ec43a60f16 | |
train_070212 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | data_pipeline | advanced | Task: data_pipeline
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 8d8bc925cf8204ea011da25b605c0137987a4aac | |
train_070213 | 2026-01-01T00:00:00 | Self-grading and automated model critique | failure_analysis | advanced | Task: failure_analysis
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: 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": [
"data",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 7f488ba2ad69da98c8b6fffb7f32e4590509f1ca | |
train_070214 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | code | advanced | Task: code
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | fb527e5a729a7f588d54c3276b7d1b8d50404c2f | |
train_070215 | 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: 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": [
"security",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 8bbf74f2cc32fec9c897b2f4d9eab45b0abf3053 | |
train_070216 | 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: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "TypeScript",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 50db4a4080827dbbaa4ee38b8432d5ce3141f6e7 | |
train_070217 | 2026-01-01T00:00:00 | Self-grading and automated model critique | code | advanced | Task: code
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 2da4fc709ca7001eb874c74f449bdd0a56b07bcb | |
train_070218 | 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: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | acd25e5082e0e00e09d44e99c7f889c9b1419519 | |
train_070219 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | expert | Task: self_grade
Topic: Latency, cost, throughput optimization
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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 12fc873e4196bab4c560a95fd313099320a31ef7 | |
train_070220 | 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: 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": [
"coding",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | b17ebbeb1e8f571cdc634d3e951a2329b5e3f0cb | |
train_070221 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | design | advanced | Task: design
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: 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": [
"coding",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | c2102c2aeea58f42f30346234f790eb9679ffeed | |
train_070222 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | self_grade | expert | Task: self_grade
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: 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": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 1e4c37dfc7eb1fbd2b2903822334157fa7dd6551 | |
train_070223 | 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": [
"security",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | f8eb40a2a05c85395626382ceafa5dd3791861dd | |
train_070224 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | expert | Task: design
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 9dbda26c9d46c52924257c791d331ad0dc4ebb5f | |
train_070225 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | agent_loop | expert | Task: agent_loop
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 2ad6dbfd7dc423b907f65ae0e99243116e68b563 | |
train_070226 | 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: C#
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 513cb9fdd399b5d83f247486f45f97b2e1bf3701 | |
train_070227 | 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: Go
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 01c3ce1e07faa4fb9c3d1603ec4edc2f06371b6f | |
train_070228 | 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: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 311949814daaa2e4a0d464b235984c06d30246b6 | |
train_070229 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | agent_loop | advanced | Task: agent_loop
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 5008de4f627e6f0eb81acb31985ca9cc03652cc8 | |
train_070230 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | failure_analysis | advanced | Task: failure_analysis
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 1f0853ec5796e20dd49c336bba59588eb4bdac02 | |
train_070231 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | expert | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
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": [
"data",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 0876d6937faa40f930730942357baa5ce0ffc8f8 | |
train_070232 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | eval | advanced | Task: eval
Topic: SWE-bench real-repo evaluation and leakage control
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | de91afe55414cf6a15d2ae5a9f97b6f1580e5c8d | |
train_070233 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | compare | advanced | Task: compare
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Rust
Context: 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": [
"coding",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 4d9899f7dfe82c43ae802740f1e49451cf47e972 | |
train_070234 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | eval | expert | Task: eval
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 6be3475790b646c71d3032d613266c56289d9aca | |
train_070235 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | failure_analysis | advanced | Task: failure_analysis
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | a232cb3759bedbf84c59f0cfdd692dd6c351b206 | |
train_070236 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | eval | expert | Task: eval
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | c854dcaa20edd575dbf70932917de978acc3f410 | |
train_070237 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | expert | Task: patch_diff
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 259eb9185b57e0fa13d7854f011079367f2528a2 | |
train_070238 | 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: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 0e855dbcb4546d3176e59359547f636a89601772 | |
train_070239 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | expert | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
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": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | fcb9a78572776723708dd86daa13cc676edf22cb | |
train_070240 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | self_grade | expert | Task: self_grade
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 4d0491058305713b962b7c698c443f883a7f789f | |
train_070241 | 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: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 4bde4bffc0529330211e0f636cff4c6e84e80929 | |
train_070242 | 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: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | f4e053186f9703c680f9b4aaf43a07d47982a53c | |
train_070243 | 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: 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": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 08fd6adb2530ece689e2e3b501aec81239ed10c8 | |
train_070244 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | self_grade | expert | Task: self_grade
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 6e24dee98e1af62dc9ee8b1f8bf41a078a889661 | |
train_070245 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | eval | advanced | Task: eval
Topic: Reasoning-first coding models and tunable deliberation
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": [
"coding",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | d8f37a5e60f037147c4bf6f5e35e25f10a8c1f35 | |
train_070246 | 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: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | e9d59dab40cd8980b36bfe24f1a364f37a499d65 | |
train_070247 | 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: 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",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 234058a11fd0fdb1a307bc8c0f3995c8fa775b91 | |
train_070248 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | review | advanced | Task: review
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | b915f8beadb6a92542ff01af4cbf9e39d7d77851 | |
train_070249 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | advanced | Task: patch_diff
Topic: Latency, cost, throughput optimization
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": [
"performance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | cc51b8bc1539e4a7a9668b824cbe452b5eda378d | |
train_070250 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | agent_loop | expert | Task: agent_loop
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | d5c8870c80f696e1bf399c4eb32ee63df7e403f8 | |
train_070251 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | compare | advanced | Task: compare
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 3ec64cdeb02192f65b935432ed422878d36ae9ac | |
train_070252 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | expert | Task: review
Topic: Self-grading and automated model critique
Difficulty: expert
Language: 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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 3e50cd8eb0625b74b51add9ea221ccdae74fbfc4 | |
train_070253 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | data_pipeline | expert | Task: data_pipeline
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: 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": [
"coding",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 516da9d4dfa3767f9e650921a97a31d465e3a94a | |
train_070254 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | design | expert | Task: design
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 4b5dbf01714a9bc4304ef8891704c3b432d619c3 | |
train_070255 | 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: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 697eaf47cea15e6783a980363e82208c91db4969 | |
train_070256 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | advanced | Task: self_grade
Topic: Latency, cost, throughput optimization
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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | ef11e0c22794c8d9b31a0c0d20e6cc048fcfcee6 | |
train_070257 | 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: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 65ddde9ac07963ca551be9a5c6b9ea906bcedf6e | |
train_070258 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | eval | advanced | Task: eval
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 1dbb3d4a0ffe8f2e9ecb52a71f7e9b18725280bc | |
train_070259 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | eval | expert | Task: eval
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Go
Context: 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": "Go",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 0511033023441f519ba6545d78de82e5fd688b20 | |
train_070260 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | data_pipeline | advanced | Task: data_pipeline
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 73c2813380e74e014e98768a015f07cfad56f367 | |
train_070261 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | expert | Task: compare
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | a665c7853ea1cb16bf5785721d9723e81341c9c3 | |
train_070262 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | advanced | Task: self_grade
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 8849f292a0951269a193ff64c2fdff804f73e32c | |
train_070263 | 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: 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",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | f2782ccf756f48f3603a7f143727923ade75777f | |
train_070264 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | code | expert | Task: code
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 7bcedf4228cd0a5b721b60d8da8721976c831d16 | |
train_070265 | 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: 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": [
"governance",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 44d49c373d545450c6e0ea43878b05aaff376fc6 | |
train_070266 | 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: 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": [
"research",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 23743843cb24c66e28a903224bda8091ae870231 | |
train_070267 | 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: 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": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 568b3f5885667b29848d17a90944f453c63c74b2 | |
train_070268 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | patch_diff | advanced | Task: patch_diff
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 64ffa0aacaacb551e7d303cd9bce4a478f278d23 | |
train_070269 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | review | advanced | Task: review
Topic: Code-specialized model families and scaling laws
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": [
"security",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | d6b2d5cdcfd44c0adcded8916c59389254b4f409 | |
train_070270 | 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: 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": [
"research",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | aafcd12689ff6f0b887bf3970f24e4be7007488c | |
train_070271 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | review | advanced | Task: review
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: 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": [
"performance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | fcb5f489e544ddb841825419509960da8cf327ce | |
train_070272 | 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: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | f4622bf8fb7c7f5452a2bca2c8d61bf787bf45bb | |
train_070273 | 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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 1cf339998bfd226663070822199d2d5452e60eab | |
train_070274 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | failure_analysis | expert | Task: failure_analysis
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: 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": [
"security",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | d8577b97b3f05ad0667926738645502dd40d049f | |
train_070275 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | advanced | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: 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",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 6c88bcbb846ba50779200231ae98f1b41d6ff450 | |
train_070276 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | compare | expert | Task: compare
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Java
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | c9996a5e57c59ab7a19e9bfc20ab9198d9f6fb74 | |
train_070277 | 2026-01-01T00:00:00 | Self-grading and automated model critique | eval | advanced | Task: eval
Topic: Self-grading and automated model critique
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": [
"performance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 399067b0189f378ef805b0364255a53c18e40b0d | |
train_070278 | 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: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 2e2755c2b1958b8bb6fb317b73b4de5017ae3a11 | |
train_070279 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | failure_analysis | advanced | Task: failure_analysis
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Python
Context: 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": "Python",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 1b1dc26e6603f665e7b436a8bfdc11b2a00542d3 | |
train_070280 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | review | advanced | Task: review
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 70e99adf582b30a8bbe0f36e7291270add81ab7e | |
train_070281 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | agent_loop | expert | Task: agent_loop
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Java
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | fb19854d1e4cbd11a5b9c8c329c29d6f28f56c13 | |
train_070282 | 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: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 446376d0428adaa62ec60f21f295e9e9c66d06bb | |
train_070283 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | compare | expert | Task: compare
Topic: Code-specialized model families and scaling laws
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",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 1814a4724b63fad159dbcba5c14d14c7b5f2567e | |
train_070284 | 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: 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": [
"evaluation",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | abc5e3b413f45018d8e29dc476c2112727b2382a | |
train_070285 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | tool_trace | expert | Task: tool_trace
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: 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": [
"data",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 37dc933fc7c8c44b48f10535ea6b2a336e52fa02 | |
train_070286 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | patch_diff | advanced | Task: patch_diff
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: 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",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | a4c8a788d759506d0c3b74d04f6b599576e54b3c | |
train_070287 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | explain | advanced | Task: explain
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 5bb3aa0b193eb1a383f6166b6464304456d5dd7e | |
train_070288 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | eval | advanced | Task: eval
Topic: Latency, cost, throughput optimization
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 06aa06577dc7d583de699fd821ee3ca73794b1bd | |
train_070289 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | explain | expert | Task: explain
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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": [
"coding",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 79f8d0cc59e4f8921a86ae6f5ea1e7838f36a83a | |
train_070290 | 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: 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": [
"performance",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 7668183fef35ed0c2838d86c8c38b59225100651 | |
train_070291 | 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: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 7a0a2936414baa22412c6c1d72dd306538d3a192 | |
train_070292 | 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: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 7588740cad867d7fd3f1faf2a510486fd782aa05 | |
train_070293 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | eval | expert | Task: eval
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 46eaf85ef898306bc5b01c7be8f09b9fad95b89c | |
train_070294 | 2026-01-01T00:00:00 | Self-grading and automated model critique | code | advanced | Task: code
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: 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.
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",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 42de4b85ce8e3a87489a0acb049494df1ab9be2c | |
train_070295 | 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: 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": [
"agent",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 49d5f095775a18a39ac69e25258887627dd11941 | |
train_070296 | 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: 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": [
"governance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8664758a35521975ad7de481bc74024dd5aa166c | |
train_070297 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | self_grade | expert | Task: self_grade
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | fa950cb7ab789df9bc266f64bdf9e349eea393ef | |
train_070298 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | patch_diff | advanced | Task: patch_diff
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 0344448b8276cb63c91d6f06c16e78bc6442b2ee | |
train_070299 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | data_pipeline | advanced | Task: data_pipeline
Topic: Agentic coding systems (plan→edit→test→reflect)
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",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | a07f1a2f16fd622aed357a8b8e20a81b66f98b4b |
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