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_034200 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | design | expert | Task: design
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: 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": [
"performance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 001b9390b2c3d857be4fca63ef9e297d4298e32b | |
train_034201 | 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: 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": [
"evaluation",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | ba9afdbe55388a173fe7b56aed8867b66c10ed0b | |
train_034202 | 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: 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": [
"research",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3f7df3140f55ec53fc7f2e59e767e60e9e6b70f4 | |
train_034203 | 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: 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": [
"evaluation",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 4f2c0d13f82019ccad0c536ae5ee1cbec967cd3a | |
train_034204 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | expert | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 84874f278db1f6e98b6b36b314061161cd437f97 | |
train_034205 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | self_grade | advanced | Task: self_grade
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 72c66ef9d07febf3ee1493c829b63af793c1164f | |
train_034206 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | agent_loop | expert | Task: agent_loop
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: 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": [
"governance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 5708631620e2e0c4f7b72d04528de7f725aeb545 | |
train_034207 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 7298c03def60d6e788b9fc7f9d3488b4440bf099 | |
train_034208 | 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: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | e468d7b18e1ea6764e1e507f0f8b18fb3c1f935d | |
train_034209 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | agent_loop | expert | Task: agent_loop
Topic: Dataset curation pipelines and quality attribution
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": [
"research",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 5f91a0dda62aaaa80f04e70dcebb59e1078d2e66 | |
train_034210 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | patch_diff | expert | Task: patch_diff
Topic: Failure engineering and resilience testing
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 700be01d769964fc459e878d61f204443f36ced9 | |
train_034211 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | self_grade | advanced | Task: self_grade
Topic: Tool calling protocols and sandboxed execution
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | d74e06325f69ab7c7ea41d81be91aec5c80bb176 | |
train_034212 | 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: 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": [
"evaluation",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3242fad85b760a4b43d590a60e6ba199ed9be745 | |
train_034213 | 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: 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": [
"agent",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 91f874d9323fd932e4e8f9dfed0398cf6a993c8b | |
train_034214 | 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: 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",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | c1c0dc043aa38f08e0a5ff4e76604828109d8654 | |
train_034215 | 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: 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": [
"governance",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 9fb044757d74b6200511eb9800b07316b83d95fb | |
train_034216 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | agent_loop | advanced | Task: agent_loop
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: 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",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 877e8e3f36ad9738d9186b3051cfeaeebd55b275 | |
train_034217 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | expert | Task: design
Topic: Governance, provenance, and audit logging
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": [
"governance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 81ac9a92638657745501e6ed7a8c89fd017b528b | |
train_034218 | 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: 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": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 0f21f63fa6b5c774decc2f3aeda671d493b86588 | |
train_034219 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | eval | advanced | Task: eval
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 0eb3795c3b3ca6631a7c643abce6931408c7e871 | |
train_034220 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | tool_trace | advanced | Task: tool_trace
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: 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",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | e222969d95e6a028e2fcacc3998ffc19873d1b93 | |
train_034221 | 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: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | a9954f0d75dd8737c7afca4a030c8500ac04df8d | |
train_034222 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | explain | expert | Task: explain
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | d1431c5d5d9bf218aee134dbe777af36796277b3 | |
train_034223 | 2026-01-01T00:00:00 | Self-grading and automated model critique | compare | advanced | Task: compare
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 2f9b78936fd82fecfc1db9670e326f359f320a32 | |
train_034224 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | code | expert | Task: code
Topic: Extended context, memory, and repo graphs
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": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | d6eb2ea2d3f9a52271ba514d2a9cc4b0c80f52e3 | |
train_034225 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | advanced | Task: code
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: C#
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3a1bd14dfae9fad2e99b79a1b450495bf707621d | |
train_034226 | 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: 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": [
"agent",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 027eb0d7c4e9f4e171be0ca359c8b211a2338ba7 | |
train_034227 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | design | advanced | Task: design
Topic: Failure engineering and resilience testing
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": [
"data",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 94f053f104d9ea4bcb218443da1f153359e44b94 | |
train_034228 | 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: 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": [
"governance",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 3ded3d6757f871d8be45a900bea9d9f63658fac4 | |
train_034229 | 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: 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": [
"coding",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 738f2ad90c5ccdef9947014b349b23aba521d52f | |
train_034230 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | agent_loop | expert | Task: agent_loop
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | ddfa54d472e29826ad0c6086f108b71923c15d55 | |
train_034231 | 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: 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": [
"data",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | e09169b21a81bd641f47799edbd8c75d7adde409 | |
train_034232 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | self_grade | expert | Task: self_grade
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: 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": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 87adeb8876315329a4eb79f2c98c2b215d2e19cb | |
train_034233 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | agent_loop | expert | Task: agent_loop
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: 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",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 8116c679af5fd0d79bb2158b47fad006ad826e0f | |
train_034234 | 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: 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": [
"data",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 472faf0d2c62fcd0dc81301d8591bb999a399f66 | |
train_034235 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | self_grade | advanced | Task: self_grade
Topic: Tool calling protocols and sandboxed execution
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 0c3de7a3726b7a3612bb30af2209be806b6e5d55 | |
train_034236 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | expert | Task: patch_diff
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 08e11a035eb6ae16f2d82da1bfee3571fafa184b | |
train_034237 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | design | advanced | Task: design
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: 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": [
"security",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 712744f028d6464aa6c114bb99d03420d12e6454 | |
train_034238 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | tool_trace | advanced | Task: tool_trace
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Rust
Context: 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": "Rust",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | e0d745b68d2eb87331caf60e1742c801032392f2 | |
train_034239 | 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: 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": [
"governance",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 001dea9703a0f4ab981057838a5f871b3a187231 | |
train_034240 | 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: 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": [
"performance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | d828e7129b27fc8c78bd7cf1741633f98175e311 | |
train_034241 | 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: 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",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 91475e0c037933345af7eb10756ec80fa579378c | |
train_034242 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | data_pipeline | expert | Task: data_pipeline
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 07a2af5e8b18a939d7ae2b54485017afbc65257d | |
train_034243 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | explain | advanced | Task: explain
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 12b5ec1c6aa2b7dc9d2c0db68cf8f0ed5ed2d689 | |
train_034244 | 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: 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": [
"research",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 91f874d9323fd932e4e8f9dfed0398cf6a993c8b | |
train_034245 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | advanced | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 6c88bcbb846ba50779200231ae98f1b41d6ff450 | |
train_034246 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | tool_trace | advanced | Task: tool_trace
Topic: Governance, provenance, and audit logging
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f6cee0b0c9ca9e2a2886cf630bfc8768e84fa5e9 | |
train_034247 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | tool_trace | advanced | Task: tool_trace
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 1aa9a4e30192ad62492d18e93be74c2bc56f51c7 | |
train_034248 | 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: 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": [
"agent",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 0bf2373ab01ce8c36a05f6c1b08f6c9683e95665 | |
train_034249 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | data_pipeline | advanced | Task: data_pipeline
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: 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": [
"security",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 587d04af41e00de391dddb98b511f476d7a01ef5 | |
train_034250 | 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: 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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 66a20271c6df4b02927bf0a07ed10d3bfcb74f77 | |
train_034251 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | review | advanced | Task: review
Topic: Model merging, distillation, and continual learning
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": [
"data",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | a388425dc7efaf00b2d9c99ec2df760773074491 | |
train_034252 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | agent_loop | expert | Task: agent_loop
Topic: Dataset curation pipelines and quality attribution
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",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 04af5ff20dafe88147197e8d3ebd4c568ffc9f76 | |
train_034253 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | tool_trace | expert | Task: tool_trace
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | efdb96a0e3d22bf887f6584081adc4b5b9e1fc6d | |
train_034254 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | tool_trace | advanced | Task: tool_trace
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: TypeScript
Context: 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": [
"coding",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | d69a8ce6aaf9762ac2834ddd2947604c4aa88da4 | |
train_034255 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | design | expert | Task: design
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: 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": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 8eb5f4e48f26dc6d474ab3edffe68ff13ddbb2ed | |
train_034256 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | failure_analysis | advanced | Task: failure_analysis
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: Go
Context: 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": "Go",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | cb2b17a49c794e17c16b4c06e5d71706ef61bb14 | |
train_034257 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | patch_diff | expert | Task: patch_diff
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 93237fccaf506dfb8346c68544fd5fdfa69d48a9 | |
train_034258 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | compare | expert | Task: compare
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 4bc376b5d1618b1e40f8a7a55be20c8b67bfc14f | |
train_034259 | 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: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | a49177f39799e4c8ab0af72fb8233a4e366655cc | |
train_034260 | 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: 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": [
"agent",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 852aba3fc5ec5dc2406ada111a93248dc9ade8ea | |
train_034261 | 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: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 8a052acbc1948a2016f497844583dfafb73f0cfa | |
train_034262 | 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: 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": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 8c784d393c1af6619ec32b2c02561c82a1a245c5 | |
train_034263 | 2026-01-01T00:00:00 | Self-grading and automated model critique | design | advanced | Task: design
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 673c3f86d6194efef79bd883c2370e13ece803e3 | |
train_034264 | 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: 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",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | caad43e68a2389eb2f3d96afc2def7ee9a7ea083 | |
train_034265 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | review | advanced | Task: review
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 427e7c41854dddc4077c2f3770d1fa2a2707cf5b | |
train_034266 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | explain | expert | Task: explain
Topic: SWE-bench real-repo evaluation and leakage control
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": [
"coding",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 7eeb5ba869e7448b5a30cd0e3a121b8f7df705e0 | |
train_034267 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | patch_diff | advanced | Task: patch_diff
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: 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": 5,
"latency_ms_target": 50,
"audit_required": true
} | e156fac250e4e91d405161d4d943c3303b7dd1f8 | |
train_034268 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | eval | expert | Task: eval
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | b4673c0b441cc55bcff12338795d049e57256466 | |
train_034269 | 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: 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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 415a167c56d41e9044a27dd68135e7eca1b1d82d | |
train_034270 | 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: 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": [
"evaluation",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | e40a9b3f85dd63be6d687035c9727e82b369474e | |
train_034271 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | self_grade | expert | Task: self_grade
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | ed70f7cbe66a24bdf4ac8cbd7daa8e0995159c62 | |
train_034272 | 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: 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": [
"performance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | a5548c46335c28a432135ce25d8ad7d7ee066171 | |
train_034273 | 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: 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",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 02aa5ce37370ab11d898656b22ce61e36d47a4a8 | |
train_034274 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | d8c0541aae9b1e7b84a7bf40258c69cd9d05ba61 | |
train_034275 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | agent_loop | expert | Task: agent_loop
Topic: Governance, provenance, and audit logging
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": [
"governance",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 41f69f4bb7f1a74f719efa5ec6e33725115398ce | |
train_034276 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | explain | expert | Task: explain
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 8c5b1bc2fbcdfc51dcea89d0818423d4bd89775c | |
train_034277 | 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: 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": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 9b6077b0d6598886e25650b81986d4b437cfc5aa | |
train_034278 | 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: 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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 398ecd3dcb19ac1cc6bd8c045ec3bd1c2935f6c7 | |
train_034279 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | compare | advanced | Task: compare
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Rust
Context: 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": [
"data",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | a15fab98577b6be1c31718426b9d890c9bff817e | |
train_034280 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 50e739a96d6b4cf6b762d3a6fdc59ec838fe8fcd | |
train_034281 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | explain | expert | Task: explain
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Java
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 3bb3a2316527668e0984c0f9e4aa6dca750040aa | |
train_034282 | 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: 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": [
"security",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 2aab7e9508b72d4704d1dd2a193f6adc5bba1fb0 | |
train_034283 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | data_pipeline | expert | Task: data_pipeline
Topic: Code-specialized model families and scaling laws
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": [
"data",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 5b384d9fe6c05e02cf039d4fa2548adba789f8b2 | |
train_034284 | 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: 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": [
"research",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | a4396ac5a7f7f02ec60b22642f192c17b7fc1cb1 | |
train_034285 | 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: 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": [
"data",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 942453d70527173e2bd62dec865e6b58abb316b3 | |
train_034286 | 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: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | fc74af4c92d2f248306a2ae1b951fe2104ac1498 | |
train_034287 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | code | expert | Task: code
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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.
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": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 35aa639c03ed1633860bafaca052a0b9b984e663 | |
train_034288 | 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: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | eb771f52426754e4cf307608a6d7677f565440a0 | |
train_034289 | 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: 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": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | eae4f490e8252baaba37a26a6c6e6bf8642fbc9d | |
train_034290 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | code | expert | Task: code
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
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",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 3161097cc70b04bef9407dd343a71551e1dfaad3 | |
train_034291 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | tool_trace | expert | Task: tool_trace
Topic: Latency, cost, throughput optimization
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 0a7433e4b5789ebdcd9a684538706890fe639816 | |
train_034292 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | tool_trace | advanced | Task: tool_trace
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Python",
"moe_experts": [
"research",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 40e7165f6dd1a5f563baf7d28a106cbb9cb50400 | |
train_034293 | 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: 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": [
"research",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 2ec29f8a21e1edbdf549cab42e1b87f033f4345c | |
train_034294 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | design | advanced | Task: design
Topic: Failure engineering and resilience testing
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"research",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 64264f4d3dddb49a4ab71d62305a831325df3031 | |
train_034295 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | review | advanced | Task: review
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 400bb75e6411f854bf66154e8da617dda9fc2f04 | |
train_034296 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | design | advanced | Task: design
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: Python
Context: 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": [
"agent",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 11dc415f77e42160a724167e5d5573b5408e574d | |
train_034297 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | review | advanced | Task: review
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 231344d7d4e3a0c7aed09b436137715b135bcf83 | |
train_034298 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | agent_loop | advanced | Task: agent_loop
Topic: Model merging, distillation, and continual learning
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": [
"governance",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | ee79960df4d151c6567b477737ee77961ae4a45a | |
train_034299 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | tool_trace | expert | Task: tool_trace
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: SQL
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 1f6471f1fe30a678cf7991be9c9abce59be20086 |
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