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_045400 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | expert | Task: eval
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b25ce8833636bd9f62fb1d17b68576297ecbce46 | |
train_045401 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | tool_trace | expert | Task: tool_trace
Topic: Code-specialized model families and scaling laws
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "TypeScript",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | cf5a2cc375594a1bf71436e793095c5c0524f9b8 | |
train_045402 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | self_grade | expert | Task: self_grade
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | a70931daf8b7021f0f0f121741cbac0275ff8dd9 | |
train_045403 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | agent_loop | advanced | Task: agent_loop
Topic: Reasoning-first coding models and tunable deliberation
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": [
"data",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 78c7202ac852362798c14030a0131420f134580a | |
train_045404 | 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: 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": [
"coding",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | e107b0bf5f27498d9fe99aa6b420e6078c679008 | |
train_045405 | 2026-01-01T00:00:00 | Self-grading and automated model critique | code | expert | Task: code
Topic: Self-grading and automated model critique
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.
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": [
"data",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | bd1bdc736389d468077cda22988808b0894dabed | |
train_045406 | 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: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | d2bcb0eb45f859b812c2d0df6f640e8225b772cc | |
train_045407 | 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: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 1def973fdf19d624e61e6c2968812bcd79bfdb64 | |
train_045408 | 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: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | a17cb0ed04bce1cd7eb9b74d9a1f371a791c5e5a | |
train_045409 | 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: 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": [
"research",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 57b700273ea7171d60c8e6b5897a63af0e7b18c8 | |
train_045410 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | failure_analysis | expert | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 0b8038a058ba082e1e1f3eeb015b621ecbab0083 | |
train_045411 | 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: 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": [
"performance",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | b06432f7327c839d525a23be90a57509ba8d3aed | |
train_045412 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | tool_trace | expert | Task: tool_trace
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: JavaScript
Context: 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": "JavaScript",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | f0bcb6c15fc901eea6b4493b53c67c3ae6ab9421 | |
train_045413 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | compare | advanced | Task: compare
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": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | ae255d60483c6f2b300df323f80d318a62f99a2e | |
train_045414 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | compare | advanced | Task: compare
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 6d4bf5c087fed54945452df09c8b8fc56ec3dc96 | |
train_045415 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | code | advanced | Task: code
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Java
Context: 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": [
"agent",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | e0a689107e140b24b976d4558dc8c989dad44287 | |
train_045416 | 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: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 943fc3e3ada7577de313bef03f5ea82caafe8fdc | |
train_045417 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | failure_analysis | advanced | Task: failure_analysis
Topic: Agentic coding systems (plan→edit→test→reflect)
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": [
"performance",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 461ecb93f25ea137385fa5765a2ed906d69c23cf | |
train_045418 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | eval | expert | Task: eval
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: 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": [
"agent",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 55fb712f9161f0f14398217db900a6fed37ba258 | |
train_045419 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | df442272fe474865be5a8ce4f00ce37f2d7a2ba2 | |
train_045420 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | compare | advanced | Task: compare
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"security",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 04ddadbb06a1aec8f3f45aa063990aaef7ee0fff | |
train_045421 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | compare | advanced | Task: compare
Topic: Latency, cost, throughput optimization
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": [
"evaluation",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 7df441dec679af77bb33a2b843157e3f2e72ba99 | |
train_045422 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | advanced | Task: code
Topic: Failure engineering and resilience testing
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": [
"performance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | d3eec790d19022d14ca6b422b303aae5c2a86f15 | |
train_045423 | 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: 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",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 6d17c50e66babffb8f9958013db2f2953477d52e | |
train_045424 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | explain | advanced | Task: explain
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | ac6a0a5ab593a4f24d8c1af61842547815a3992a | |
train_045425 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | patch_diff | expert | Task: patch_diff
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 4f4b80f1a0ae9bc17148b9f4b97593401ad24519 | |
train_045426 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | expert | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
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",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | b7bce14fb4c89b7222598f0b7771a167ce595606 | |
train_045427 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | advanced | Task: code
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: 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": [
"evaluation",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 547c9fa94c62549c99057589ff38af276f359600 | |
train_045428 | 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": [
"governance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 0842ad3cb7479a412afa1b735ec7b686b20d65fd | |
train_045429 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | failure_analysis | advanced | Task: failure_analysis
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 2836e05c681eabb3942fa3371efc5e5de25dffcb | |
train_045430 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | compare | expert | Task: compare
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | c962a028f02a598da79ffa3dcc3178b446d0133a | |
train_045431 | 2026-01-01T00:00:00 | Self-grading and automated model critique | self_grade | advanced | Task: self_grade
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 2e40cec487651e9843934a1b377f2c2198291b6e | |
train_045432 | 2026-01-01T00:00:00 | Self-grading and automated model critique | explain | expert | Task: explain
Topic: Self-grading and automated model critique
Difficulty: expert
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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | ac1a0bd1e374b9291ef3189c65d857c86fad1ca9 | |
train_045433 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | expert | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"research",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 09cb15711202218c2843e9bf623c904080c3369a | |
train_045434 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | compare | advanced | Task: compare
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: JavaScript
Context: 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",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 76f0e2f5c2fcf88896b59572aba45bd6e77fde9d | |
train_045435 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | eval | advanced | Task: eval
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: TypeScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | f34e7fa68a57e7eb286b35519d7625b43212ef81 | |
train_045436 | 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: 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",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | c2427bf736afeb4f98eb1653b6c2f43a785ff2f9 | |
train_045437 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | design | advanced | Task: design
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 3369cf6323387ab9135f703fd5585a5c464c91e1 | |
train_045438 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | failure_analysis | advanced | Task: failure_analysis
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 4d31982b72de03bf8259228cb0f55b7bbd77d399 | |
train_045439 | 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: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 6f355fcde0538fbf76bf9d7f97785db4474a4a57 | |
train_045440 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | compare | advanced | Task: compare
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: Java
Context: 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": [
"performance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 24c2ccd5cfe97460623e91e63339f34e1575ecfd | |
train_045441 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | review | advanced | Task: review
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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": [
"evaluation",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | ffafb5ec0580ece919541c5c7225adb48eabc6fc | |
train_045442 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | advanced | Task: data_pipeline
Topic: Latency, cost, throughput optimization
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": [
"security",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 471fdf4213764cb9fb52d3539bcfdf24bebad968 | |
train_045443 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | explain | advanced | Task: explain
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | be929c8da007a522a84f5f04f0f03e9cb8c48209 | |
train_045444 | 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: 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",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 5ff4b38a5cd2525b40d91e9bd81cbf9782d0dc86 | |
train_045445 | 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: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | e7ca2acb3ba0079feb35eb7b6d6fa697fa134cd7 | |
train_045446 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | self_grade | advanced | Task: self_grade
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.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 367d7ba120e55ad8363621d713303dc854465986 | |
train_045447 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 0fefb3bcc91f4ce027301e98d29a9f2af0a57846 | |
train_045448 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | compare | advanced | Task: compare
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 595d032ec62efd28dcd23ee7fc5446188903462f | |
train_045449 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | tool_trace | advanced | Task: tool_trace
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 306b0345898e9249f7262c0b53d037803672c28e | |
train_045450 | 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: 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",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f6e624250a005d2bafb9af181c92a3e623e3169c | |
train_045451 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | compare | expert | Task: compare
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 6f88730f0b476057a84461719224fe6f5337b59e | |
train_045452 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | review | expert | Task: review
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 64a80556ec25737b2630ce0032c5d3ff564a2aba | |
train_045453 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | self_grade | expert | Task: self_grade
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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 9549f5a6735cc8fcdf83d7ef9f51bc693e653f59 | |
train_045454 | 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: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | fc49fa1152085e1f4c9c4f8b2dca0dfcad593052 | |
train_045455 | 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: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 961fd315fdecf0df4c892090539ec89646479f8f | |
train_045456 | 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: 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": [
"performance",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 026eaab5afdde359f87ed0fc45776c3186192290 | |
train_045457 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | fb41125ff1c750bcdaac8d542a050d35ef384286 | |
train_045458 | 2026-01-01T00:00:00 | Self-grading and automated model critique | compare | expert | Task: compare
Topic: Self-grading and automated model critique
Difficulty: expert
Language: 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": [
"security",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 030d9f74e16bf4fec0f057963f5ca770cd88fefe | |
train_045459 | 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: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | f2c20d2c67fcf4c14db4ef31acf1267c203caea3 | |
train_045460 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | d5a6dd06ea658b095eeb95db9d820017eaf69768 | |
train_045461 | 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: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 3cc49d5e05d7418d2f3dc14c5132f3414a9af47b | |
train_045462 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | code | expert | Task: code
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: Bash
Context: 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": 2,
"latency_ms_target": 200,
"audit_required": true
} | 2f3e9561ba60ea80e089b0d0c5b46bf35fe2c189 | |
train_045463 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | self_grade | advanced | Task: self_grade
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 23a999a32725e1885ca34b968463f053bcae541d | |
train_045464 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | agent_loop | advanced | Task: agent_loop
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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": [
"governance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 25c2400d091849be299ec096918c37c69a815514 | |
train_045465 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | advanced | Task: compare
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 44081405181e831e28712ed9197e8d6271b24bf9 | |
train_045466 | 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: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 8fae73fd0ff02a6d0d7312b9e381913eeb10a79e | |
train_045467 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | explain | expert | Task: explain
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 0f93f9014deae671aaabdaa01d16bfe39db34688 | |
train_045468 | 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: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 41747f8118ceb2ffec7d03adf66021078180f940 | |
train_045469 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | explain | expert | Task: explain
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"data",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 76d8892282bccd04220b3527524748bff67758dc | |
train_045470 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | advanced | Task: failure_analysis
Topic: Latency, cost, throughput optimization
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | fa5b0f2b31dcdbaf8afe2a2b3931ebb09a4fcf4d | |
train_045471 | 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: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | e394d9de662e36203fa06d382d12bae0238fded5 | |
train_045472 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | self_grade | advanced | Task: self_grade
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 8353afc2d168097ef5cb99ef0873f0e186f835c7 | |
train_045473 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | advanced | Task: review
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Python
Context: 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",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 58c3ab781db2351ea813ba081b45b2aed2cfa525 | |
train_045474 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | self_grade | expert | Task: self_grade
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 9a67cc5c6ed44687337fe2c006e9f2f7ddfbef14 | |
train_045475 | 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: 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",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a9da9b27be60fd46dd5311861f0aa120a8253661 | |
train_045476 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | compare | expert | Task: compare
Topic: Extended context, memory, and repo graphs
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": [
"security",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 7e9ac79c468ae04ea5c695e2945da60cf82df0de | |
train_045477 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | tool_trace | advanced | Task: tool_trace
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f0b65fee1a80c0d34b2ab0ed1c3d1c582fc98cfc | |
train_045478 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | data_pipeline | expert | Task: data_pipeline
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Rust
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 7c35186fe7689275d857b2c2c4512e29c4d7153e | |
train_045479 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | failure_analysis | expert | Task: failure_analysis
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | a6b30229a4bb377a5c8a4dc02ea6b2cde0cfcbfa | |
train_045480 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | code | expert | Task: code
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8096329737f7ef4155874a28a5d6e1a8a19fa90a | |
train_045481 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | eval | advanced | Task: eval
Topic: Tool calling protocols and sandboxed execution
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 54b81a2c06d878f70f79dc6238f9854fc0e5a735 | |
train_045482 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | explain | expert | Task: explain
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | f2caea25253f9b2a8ef7397868652e8d1fc442af | |
train_045483 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | expert | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 3d79b19abcce8441c1ce427b83e7fece379a0cd9 | |
train_045484 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | expert | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"research",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b3a28948ac1c950c38eb82197275b141dcfc6be8 | |
train_045485 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | explain | expert | Task: explain
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 47ce8ee96949f59c065b46d0cc0859598cb775fd | |
train_045486 | 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": [
"evaluation",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 49d2154cb9f0d4a5796abb49002a2efb46266ee1 | |
train_045487 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | data_pipeline | advanced | Task: data_pipeline
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 5b35aef15411ab36110703022c4672167f8e0198 | |
train_045488 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | advanced | Task: review
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: SQL
Context: 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": [
"agent",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | bd2f242a614361cf88f5674e96c696753cfbd907 | |
train_045489 | 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: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | c8e3263567e3bf6deb08a8bf9fae6636209937ca | |
train_045490 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | tool_trace | expert | Task: tool_trace
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Python",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 9a7e08eb5f82e72101fa7e93203b06ec1600a832 | |
train_045491 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | advanced | Task: code
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 6105d37e27e3ab211affba58609795f8e1c91b32 | |
train_045492 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | expert | Task: eval
Topic: Governance, provenance, and audit logging
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 08d1ce89c2be3155fcee00d4f6150ae36cdb113a | |
train_045493 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | advanced | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: SQL
Context: 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": [
"performance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | c69d41ba412ec421889e3d2f6b68a4ab84441c00 | |
train_045494 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | explain | expert | Task: explain
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: 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": [
"coding",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 9c959812936dd0b622aa47821a2fb86559453071 | |
train_045495 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | advanced | Task: code
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 1c20916063afd738e4a11e7e970dfc41e47a40ab | |
train_045496 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"security",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 321e26ed591da28c2da72252feba4813d41ffe38 | |
train_045497 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | tool_trace | advanced | Task: tool_trace
Topic: SWE-bench real-repo evaluation and leakage control
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 311ec4643a3814992dd076900d8e28e85df57abd | |
train_045498 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | explain | advanced | Task: explain
Topic: Dataset curation pipelines and quality attribution
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": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 9b104a63e37b326c75315c911c319d57c53ba905 | |
train_045499 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | explain | expert | Task: explain
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 312ed372eb2d3e79b1f03c382287ecf4abdc152f |
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