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_064000 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"evaluation",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | a57a3d339da7e42a445e7c8984c817c65f3d63f6 | |
train_064001 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | tool_trace | advanced | Task: tool_trace
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 142a10813380819e812e04d4ca5d4de0feb2266f | |
train_064002 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | d60cf066c8c12e84170cc9c829cad5981f093688 | |
train_064003 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | agent_loop | advanced | Task: agent_loop
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: TypeScript
Context: 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": [
"evaluation",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 42ce8843de6175ca849eb29a67c0645bf991fb64 | |
train_064004 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | compare | expert | Task: compare
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"security",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 173d54ed4e75f02d6383930bdaa2104f9b4316e3 | |
train_064005 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | compare | expert | Task: compare
Topic: Governance, provenance, and audit logging
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",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 5fd425c2b886603abe4abbdd8e113ce06525e6b1 | |
train_064006 | 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: 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": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 11d52b4734631b0fde38231f4c06156a0f19df01 | |
train_064007 | 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: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 54ffc263254b411531806bb75fe5af89881cb11d | |
train_064008 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | failure_analysis | expert | Task: failure_analysis
Topic: Tool calling protocols and sandboxed execution
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 1f696c707565b0a657b9426458284dcf62c62910 | |
train_064009 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | data_pipeline | advanced | Task: data_pipeline
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: 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",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 27af865359880c5cca6022bdfd42c346f6e25f6e | |
train_064010 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | design | advanced | Task: design
Topic: Reasoning-first coding models and tunable deliberation
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": [
"governance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 79b0b2db067d610291a71a765d1fe31659fe59b0 | |
train_064011 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | eval | advanced | Task: eval
Topic: Mixture-of-Experts (MoE) routing and sparsity
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 3468c3744911168c82afd6c20ba9b513976b599d | |
train_064012 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | compare | advanced | Task: compare
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": [
"governance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f9b3c8c948782f29d9d75e685fdfb3b4f50d64f5 | |
train_064013 | 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: 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",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 0ec3b46a455cab005edf3f0604fda09d2085d432 | |
train_064014 | 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: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | cf02f5cb4cc6a04ff5b7c34cb4c08aeab7174a55 | |
train_064015 | 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: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 551c96d9229e95f25d491e6505fea62274443bad | |
train_064016 | 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: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | a1432ecfc03e336e917352563ddb659c0b8f8264 | |
train_064017 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | eed546bc0b131adde4d1fb617503d58072f8d6ec | |
train_064018 | 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: TypeScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"security",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 0bd48fcfc05fc7a17cfc142151e9f97584293645 | |
train_064019 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | explain | expert | Task: explain
Topic: Latency, cost, throughput optimization
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": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 893b6e0cfcbe5ae5ceb27a2eef92f84352a89732 | |
train_064020 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 8798f178322fc2f4184fe027ee8bffef5a61d170 | |
train_064021 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | eval | advanced | Task: eval
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 5a0ea2044e41ed1c87d692e634593a166e494b11 | |
train_064022 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | advanced | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
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": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 49d2154cb9f0d4a5796abb49002a2efb46266ee1 | |
train_064023 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | expert | Task: code
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | b73997b9ee97d6d0bbc10a9936ed5e8d002c2219 | |
train_064024 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | failure_analysis | expert | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"research",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 5a100ac4901a0a3d76502819ef87cfc21ef52d88 | |
train_064025 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | compare | advanced | Task: compare
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | ff4bab78e80c9a9d9bd830443d2b123386cce057 | |
train_064026 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | code | advanced | Task: code
Topic: Extended context, memory, and repo graphs
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",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | a0b8f54e6eda22f72d909e523b9a110e9e1abb36 | |
train_064027 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | failure_analysis | advanced | Task: failure_analysis
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 0dc36facd33d81e097712a3b6296bb981f1f061c | |
train_064028 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | self_grade | expert | Task: self_grade
Topic: Agentic coding systems (plan→edit→test→reflect)
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": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 95a7de84a6616f2c33d4aca3e1f8bd5c1be9340f | |
train_064029 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | explain | expert | Task: explain
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 49bad9426edc14d00199a2472217540dbcd80f1e | |
train_064030 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | code | expert | Task: code
Topic: Code-specialized model families and scaling laws
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",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 21c2320a68ce571d610f22b76214104d48bfc820 | |
train_064031 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | review | expert | Task: review
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 4a5382b8f644ae6c75c6c6fc1a5343342a7c76ef | |
train_064032 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | expert | Task: data_pipeline
Topic: Latency, cost, throughput optimization
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": [
"evaluation",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | d974f4ef95f61ad0b2ba2a5bdb0ca9acf4858bc1 | |
train_064033 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | patch_diff | expert | Task: patch_diff
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 02d0be48cc7f33c0d391bcf432c780c5ac0656dc | |
train_064034 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | data_pipeline | advanced | Task: data_pipeline
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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": [
"data",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | f68009e738a4d1f16541f43e5b4acd2df637bf0e | |
train_064035 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | failure_analysis | expert | Task: failure_analysis
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 6a9e5d78ae7eae91cbeaa9a9fc0c3e3a8179db7f | |
train_064036 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | self_grade | advanced | Task: self_grade
Topic: Mixture-of-Experts (MoE) routing and sparsity
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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | d0737dec3c477cd0c2fce6b3a619770a9717fa32 | |
train_064037 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | agent_loop | advanced | Task: agent_loop
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | f43b8962e7a7e3a51fdc50739291e70856dee824 | |
train_064038 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | eval | advanced | Task: eval
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | b6a8e4b895985a527b92e323f2887359abfc43b0 | |
train_064039 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | cae799e8ef565b67d9b65698ef0538f3fcc1cd4e | |
train_064040 | 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: 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": [
"performance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 87138d8486a55a82a0b209709ff17ba47fd1e66b | |
train_064041 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | code | advanced | Task: code
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 91aa7fe284bfd222eb9392398b42769c36592f9b | |
train_064042 | 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: 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": "SQL",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 03f5eb1c26b37718c636389418671be0cdc59d5c | |
train_064043 | 2026-01-01T00:00:00 | Self-grading and automated model critique | self_grade | expert | Task: self_grade
Topic: Self-grading and automated model critique
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.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 2065d8433ef1c3d34ea1781f67056121ff317086 | |
train_064044 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | failure_analysis | advanced | Task: failure_analysis
Topic: Dataset curation pipelines and quality attribution
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",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8568ffa69749b6adaa2490970d233c80566eb883 | |
train_064045 | 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: 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": [
"data",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 289dd6997f901a6985c2cb8686a54a76ca2e0f33 | |
train_064046 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | self_grade | expert | Task: self_grade
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | c8923100a1e3c24b107c0bd1d75f91134e195790 | |
train_064047 | 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: 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": [
"performance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 3c0b7196dc5649dd250c482d4d6c78745308e6de | |
train_064048 | 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: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 6b6161f68a89e9018bd3b63951c7dad47d59b0ab | |
train_064049 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | advanced | Task: data_pipeline
Topic: Latency, cost, throughput optimization
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",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 9df9b5c3803b85eee5019b3ca9140b181ac21a90 | |
train_064050 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | expert | Task: eval
Topic: Governance, provenance, and audit logging
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 02488ee3bec61f25f8982a6a77b26c1235bc6db9 | |
train_064051 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | data_pipeline | expert | Task: data_pipeline
Topic: SWE-bench real-repo evaluation and leakage control
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": [
"research",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 8d9f042647d61bb6b9de786ea2afb9c8bcf2104a | |
train_064052 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | code | advanced | Task: code
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"security",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 15f42d1872a2bce757774ff2b0b21688c006ce9f | |
train_064053 | 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: 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",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 54e51bdc5d8e9b6f2a40f68ea5d562935ffcf61f | |
train_064054 | 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: 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.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b7347567a406b6add32c5c238dee632477a69814 | |
train_064055 | 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: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "C#",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | b76300af29c0402de15cbf02e2032958e58f16d6 | |
train_064056 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | review | expert | Task: review
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 33b787a933f1346ad72ed21fa40d20464d8d4358 | |
train_064057 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | tool_trace | expert | Task: tool_trace
Topic: Reasoning-first coding models and tunable deliberation
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 8f1c8b521b7f511ba4d4caf3f856113a29571117 | |
train_064058 | 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: 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",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | bb5578f9ccdedeaea5181c62cf6a0ae3a1005332 | |
train_064059 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | self_grade | advanced | Task: self_grade
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 9568791b13cab156d34bf262c3639730bfbe20ad | |
train_064060 | 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: 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",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 4326ba6e63c85caecea0cd8056015cfcec69ff3d | |
train_064061 | 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: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 8610b88a510e4d433af73a2f38d49160efb6c4b3 | |
train_064062 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | design | advanced | Task: design
Topic: Reasoning-first coding models and tunable deliberation
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": [
"performance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | af33928e8723df2c3741a725d95c3a802a39257a | |
train_064063 | 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: 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": [
"security",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 4d65284ebcc99c0aa6d080b15f676784cacebc85 | |
train_064064 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | review | expert | Task: review
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 404e29a2175f145e41b23e79d8e2c97594f18f85 | |
train_064065 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | expert | Task: self_grade
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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | f41b28dcb95b3e4cc45e21bf9f902b41119582c3 | |
train_064066 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | failure_analysis | advanced | Task: failure_analysis
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | d8197adfefacf7d4a285655e47242aff4f3cc049 | |
train_064067 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 7c5fec2f082421681f4631471d091e06ff0e3cbb | |
train_064068 | 2026-01-01T00:00:00 | Self-grading and automated model critique | design | expert | Task: design
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 1df360ae8e36219295859955e7d8f28ca26cbe79 | |
train_064069 | 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: 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": [
"evaluation",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 98843c3a7985a42b449e812b130a9a74ad7eec6b | |
train_064070 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | eval | expert | Task: eval
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 33a032b1c2abf5c6527266460cb36ed66b3fbaaf | |
train_064071 | 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: 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": [
"data",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 2f386dedee7d5070a112e01f22cce949f36841d8 | |
train_064072 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | design | advanced | Task: design
Topic: Agentic coding systems (plan→edit→test→reflect)
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": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 2aad973126e5a000e2ba0a7844228b17d6d03f7d | |
train_064073 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | compare | expert | Task: compare
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"performance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 3984ab91b480a948789be6aec3e4f5947e725a95 | |
train_064074 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | expert | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: 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": [
"agent",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 1806ebe8f8da2aade4a9780c111d4f81f6becaf2 | |
train_064075 | 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": [
"research",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | ef11e0c22794c8d9b31a0c0d20e6cc048fcfcee6 | |
train_064076 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | compare | expert | Task: compare
Topic: Secure code generation, red-teaming, and policy gates
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": [
"evaluation",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | cfb54656e8605b653b2a51e5311aa05dd565e646 | |
train_064077 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | advanced | Task: data_pipeline
Topic: Latency, cost, throughput optimization
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": [
"coding",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | b1452502c9144a138b98fc85d355ae30da019a7f | |
train_064078 | 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: 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": [
"research",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f837f7a6a6a9ab1ec4b5c2134136b411cdecb82e | |
train_064079 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | code | expert | Task: code
Topic: Agentic coding systems (plan→edit→test→reflect)
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 14644472c75c89e8c0b3e9fda0c30a0402208949 | |
train_064080 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | design | advanced | Task: design
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 71b81014f75723464196bdb55f40c3927f7fc2a2 | |
train_064081 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | data_pipeline | expert | Task: data_pipeline
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: 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": [
"evaluation",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 3c3b89e9be57a31d42372f0a9996afe792bd765d | |
train_064082 | 2026-01-01T00:00:00 | Self-grading and automated model critique | eval | expert | Task: eval
Topic: Self-grading and automated model critique
Difficulty: expert
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 4bf4feed70744ca0670757a48629a4c56a7cf7c3 | |
train_064083 | 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: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 678ae6324e32b2ea92e1005605a87384f785fa4e | |
train_064084 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | code | expert | Task: code
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: 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": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a925d59d5c78870d1ebaef4f25a4b1d4ea68d51a | |
train_064085 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | review | expert | Task: review
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 4c0a7cc444d049c7dfa4454341dfc0e8b42d6ed0 | |
train_064086 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | code | advanced | Task: code
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: 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": [
"evaluation",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 55929b9bfe723bef1e2760eeb5f4ae8904d6cf26 | |
train_064087 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | explain | advanced | Task: explain
Topic: Tool calling protocols and sandboxed execution
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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | e2279f98837857c255c66185a5417c102394f950 | |
train_064088 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 0842ad3cb7479a412afa1b735ec7b686b20d65fd | |
train_064089 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Python",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 56f990bf34bdfec63c1b611f3a6a063b94f5c4f0 | |
train_064090 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | data_pipeline | advanced | Task: data_pipeline
Topic: Code-specialized model families and scaling laws
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 97863b59fc0907220679af6c71e69e3db9ffc4db | |
train_064091 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | explain | advanced | Task: explain
Topic: Tool calling protocols and sandboxed execution
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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 7a766ac3886e19c263d73adf10952af835c7d0bf | |
train_064092 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | compare | expert | Task: compare
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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": [
"security",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | a599e6dc0f173b20d0c9ab14aee723faa3d33e5f | |
train_064093 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "C#",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 450650263df7485fc8bbe8d5f0c9c9c4f9e7303a | |
train_064094 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 108f79bcc6e9f107f1f35e77d3f57ba7e1835b0f | |
train_064095 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | design | advanced | Task: design
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | eb6535e7554551a537cd0ade285351e8a12e852f | |
train_064096 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | eval | expert | Task: eval
Topic: Multi-agent coordination and role separation
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 9b6fb6b64c09c0753b43378c2643e8ef9e1c323b | |
train_064097 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | code | advanced | Task: code
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: 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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 80cb6d32a77f68d7ad039a2cd4b2c0da5a44e566 | |
train_064098 | 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: 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": [
"evaluation",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 33eb4a3dfdbefb29a79b72438f3726c1d47e154d | |
train_064099 | 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: 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": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 37c7a971c79a067d2c3ea62ef91b24c8b127142f |
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