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_034700 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | tool_trace | advanced | Task: tool_trace
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"security",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | eeffedbcd8708460487cffbcab21836bfbb3c2f0 | |
train_034701 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | eval | expert | Task: eval
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 877dc78d2a073d07b52bde906c362568293159fe | |
train_034702 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | agent_loop | advanced | Task: agent_loop
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: 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",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 5349c12ea750f9f5437883b5007b8e6422faf11c | |
train_034703 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | advanced | Task: patch_diff
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: SQL
Context: 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": "SQL",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | fd5a9adef1acf599d4ab9f58a85250b2d3716132 | |
train_034704 | 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": [
"security",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 4d31982b72de03bf8259228cb0f55b7bbd77d399 | |
train_034705 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | compare | expert | Task: compare
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 7d332eef9d12ff68a5fd61b69e0f228c50588759 | |
train_034706 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | data_pipeline | advanced | Task: data_pipeline
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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": [
"security",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | f47f5a9992acce588141f75970e66c164cdfee96 | |
train_034707 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | self_grade | advanced | Task: self_grade
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"evaluation",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 18f138fded2d454b1f0adcd995076c640c4d91a0 | |
train_034708 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | explain | expert | Task: explain
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 2ffdf2d1c11df56ecc6a51d009a131c24da9153e | |
train_034709 | 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: 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": [
"research",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | d6a51c125098d5cdba72fd5a539e755098cfef8d | |
train_034710 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | tool_trace | expert | Task: tool_trace
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | ce9f21ab81a3e1f1bf7cd25f9c6e5d87c03ace5f | |
train_034711 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | failure_analysis | expert | Task: failure_analysis
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: 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": [
"agent",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 2a54b09531713831f187f2cc229a025049c4e65e | |
train_034712 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | tool_trace | advanced | Task: tool_trace
Topic: Tool calling protocols and sandboxed execution
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | a634aee7a9804c5a19f310e235f4891e81111b88 | |
train_034713 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | explain | expert | Task: explain
Topic: Failure engineering and resilience testing
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": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 0d6dd70c455a8576312efe75aae4c323b5d90f0c | |
train_034714 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | expert | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | a161f9a7edaf0d02332690ac08fae2be51de4370 | |
train_034715 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | design | advanced | Task: design
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | ac018b34fdce58c50671e2014e9fbeb0cbb4c364 | |
train_034716 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | advanced | Task: patch_diff
Topic: Multi-agent coordination and role separation
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | d08d148cde4f2bc6a402ab06537cceb59c98f0dc | |
train_034717 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | code | expert | Task: code
Topic: Multi-agent coordination and role separation
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",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | f35d18504bc0c7e1d4a75bdf0dc72a4bf9b1ce09 | |
train_034718 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | patch_diff | advanced | Task: patch_diff
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | c9d7a4af961c853f6117a86144e8dea86e1c0360 | |
train_034719 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | patch_diff | advanced | Task: patch_diff
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: SQL
Context: 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": "SQL",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 48f64acfc1b54cc0dada324b6ed40e2b29fdc0ca | |
train_034720 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | review | advanced | Task: review
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 5e70966b08f0f1f65ee946bf216b91862583ba64 | |
train_034721 | 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: 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": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | f9300bb8df88bbe9e24c655c5f08851b6527dc93 | |
train_034722 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | compare | expert | Task: compare
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 30e2c0eeb29d2806ff60be6325a3adaf8ddc260e | |
train_034723 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | explain | advanced | Task: explain
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | f79618bb0a205e5badf4a2840791d040afd0861e | |
train_034724 | 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: 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": [
"performance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 5b9f48bba08fee478fa5266a201b12d86e329f5b | |
train_034725 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | data_pipeline | expert | Task: data_pipeline
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 662780786966621dbf773f2d851b04f09303ee3c | |
train_034726 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | eval | advanced | Task: eval
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 79bd784ed9cb863781889d7b56263f7de1607fb1 | |
train_034727 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | review | advanced | Task: review
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | cef98ee25a9fc7c40cad115659dd4e4bd29e6661 | |
train_034728 | 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: 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": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 6e3c0947c30a58a0a9a21b2c6f9180024e9a125b | |
train_034729 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | design | expert | Task: design
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 40e9077714988280bd68c040bc39ff6c3354718a | |
train_034730 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | review | expert | Task: review
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | cf53a6e5195b395b5909cea90e203a0ed153e520 | |
train_034731 | 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: 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",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f597b21f4124c3354007c102eb4b45d37c65057d | |
train_034732 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | data_pipeline | advanced | Task: data_pipeline
Topic: Dataset curation pipelines and quality attribution
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": [
"research",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 74eb982984f08378ac4fd79713bfabcf736604b4 | |
train_034733 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | tool_trace | advanced | Task: tool_trace
Topic: Multi-agent coordination and role separation
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": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 840e2a84535ef453a05d93073d5cdfc2b9a242d2 | |
train_034734 | 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: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 3879d8298d4f85a727cd82b6c45218c02e4a5e0c | |
train_034735 | 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: 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",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | b66d9c01ea694b985d632ca5ca7609231e09f46c | |
train_034736 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | design | expert | Task: design
Topic: Multi-agent coordination and role separation
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": [
"data",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 1015d0e6d908184476287c12baa03d07515e4a13 | |
train_034737 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | tool_trace | expert | Task: tool_trace
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Rust
Context: 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": "Rust",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8023548e81efcf90314c006c3bfbf23cd7ebff63 | |
train_034738 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | compare | advanced | Task: compare
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": [
"research",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 020899d20a27a2fa5651ba40a50b9ac4bb6052ef | |
train_034739 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | review | advanced | Task: review
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Java
Context: 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": [
"research",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 826f68390981e9644621dfa643e7d8f30d23af38 | |
train_034740 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | expert | Task: failure_analysis
Topic: Latency, cost, throughput optimization
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 6500953aaf26a9f82f2e6909ded1ae85da83a3ba | |
train_034741 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 010e32298e9e0fa6025197cc31f8167e309ebfe9 | |
train_034742 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | advanced | Task: eval
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 674f2f6cb1d8cc7f77c67a1941f9929e05b66f46 | |
train_034743 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | expert | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 3db46754738bde6cb8d655ccc406c256b30ce0ec | |
train_034744 | 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: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 49ad207012c3f6a922a903708b064e69abe32840 | |
train_034745 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | self_grade | advanced | Task: self_grade
Topic: Dataset curation pipelines and quality attribution
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": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 91a7f4633a785ec7e3d190f50239ec1048f37e26 | |
train_034746 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | tool_trace | expert | Task: tool_trace
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: 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": [
"governance",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | ef32ebe578a9d7d16085b65db9a7e09ce66f750c | |
train_034747 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | explain | advanced | Task: explain
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: 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",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 22e2a52c51b86a5c9ca5eb16f1941291544a7c6c | |
train_034748 | 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: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 9fdf79a16f3179d7b99647b17686671d6cfebf8d | |
train_034749 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | explain | expert | Task: explain
Topic: Secure code generation, red-teaming, and policy gates
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": [
"coding",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | afa6e9a5970d52d1b1b636ef9f6af777dee133f4 | |
train_034750 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | design | expert | Task: design
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 47a7533812e738d9a1df61b9216901d134b80535 | |
train_034751 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | eval | expert | Task: eval
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 0d3ac99f4cfac5a8a67e094997cf9dceb7023596 | |
train_034752 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | design | advanced | Task: design
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 9d5f23987fc6fe524442fbcddfc2d4244e5c27a6 | |
train_034753 | 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: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"data",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b72b70974442c70f990d1cf4352193f04aede41a | |
train_034754 | 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: 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",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | c0a3980bcc83207f17da8f96aaaf72d9b193240e | |
train_034755 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | tool_trace | expert | Task: tool_trace
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 525e707f4c88649f0dd081b226343deae5e0c250 | |
train_034756 | 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: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 2cefe05a35d9bb2059040bfef551eb33a5dfb19a | |
train_034757 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | eval | expert | Task: eval
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3cbadcd11b38f855b07c074b96d2fbf40baad4b2 | |
train_034758 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 8d4b4bfe6e9d2900c6388857688226402ca851a5 | |
train_034759 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | explain | expert | Task: explain
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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": [
"governance",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 39c2c5d3595e05e8c1387e70791ee796c1258df0 | |
train_034760 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | eval | expert | Task: eval
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: 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": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 4b75d31c3d22775b6e33d685e953ebc63bc1fd9b | |
train_034761 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | compare | expert | Task: compare
Topic: Latency, cost, throughput optimization
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": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | d721870d8b256604a55aea6250f4d82af59d9a72 | |
train_034762 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | code | advanced | Task: code
Topic: Model merging, distillation, and continual learning
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": [
"governance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 34201a250b9c4de3b5c2273b3e167c3b1fe63c6c | |
train_034763 | 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: 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": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 658921bb748cde791877817aa951fe6e9f18a987 | |
train_034764 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | design | expert | Task: design
Topic: Extended context, memory, and repo graphs
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": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8f3e4f87a1ddffbab623bf2ead21fb123ae6a56e | |
train_034765 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | code | advanced | Task: code
Topic: Governance, provenance, and audit logging
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",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 3f0e32b08b7ebbd1f8389c00f88da9a793934cb2 | |
train_034766 | 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": [
"research",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 8eb5f4e48f26dc6d474ab3edffe68ff13ddbb2ed | |
train_034767 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | expert | Task: self_grade
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Go
Context: 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": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 49d0d73687235b9d0e51dc736c071ca0ac1b08fc | |
train_034768 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | code | advanced | Task: code
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: 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",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | b47ce8f10756a0aed3ab6976b82f322e88114cb7 | |
train_034769 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | patch_diff | advanced | Task: patch_diff
Topic: Model merging, distillation, and continual learning
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | cadb0fd8dae0e183c5ce9b75a6f1f5e9a2e2e4a3 | |
train_034770 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | failure_analysis | advanced | Task: failure_analysis
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | e0834b968295a6b82fc49d2da7c5f977a3d40a75 | |
train_034771 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | code | expert | Task: code
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: 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": [
"evaluation",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | f3f0993d737f5ac912468c68e45bca0c5fea8c5c | |
train_034772 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 8180bde714b32f871e04342d4023198a8cf20a09 | |
train_034773 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | design | expert | Task: design
Topic: Extended context, memory, and repo graphs
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": [
"security",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | f13377851072dc02ff49645f688856a927ec661c | |
train_034774 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | advanced | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 886aec2d53f980d0954137445c6e6ceec2299c38 | |
train_034775 | 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: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 980074bcd4c63476413f47ffd85d13c8638f04e6 | |
train_034776 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | explain | advanced | Task: explain
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"evaluation",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 63557e7342e658c1e13641413a2ceeab97cc879d | |
train_034777 | 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: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "C#",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 927257c608a4084b798adc351e5d0e7bd34aa9eb | |
train_034778 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | agent_loop | advanced | Task: agent_loop
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | e9da37b49b1187010effc2b388549becdef34601 | |
train_034779 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | agent_loop | advanced | Task: agent_loop
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: 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",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 6b6e030362916b3bcac1abb79da2f797006967b9 | |
train_034780 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | code | advanced | Task: code
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | c126946c4b0e0009e975b2834ea1afb1f97c1104 | |
train_034781 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | data_pipeline | advanced | Task: data_pipeline
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: 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": [
"coding",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | c6bb49038272974d4bfe7b12c7ccec6bf804c6dd | |
train_034782 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | failure_analysis | advanced | Task: failure_analysis
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 1507a709d1c4233dd981087325e10b0d21e4e8c1 | |
train_034783 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | patch_diff | expert | Task: patch_diff
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"evaluation",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 30564df5c950ee325354d1ea5ad2672cc82caed4 | |
train_034784 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | self_grade | expert | Task: self_grade
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | ffd6133faddd65dba52046b61941a833c6c84414 | |
train_034785 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | advanced | Task: patch_diff
Topic: Latency, cost, throughput optimization
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | ff16ee4a422c26b930ca1947de3229e18be4e9f4 | |
train_034786 | 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: 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": [
"data",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | eef1684ccb32769910a1442e736d65bc22ba7c8e | |
train_034787 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | data_pipeline | advanced | Task: data_pipeline
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 58dab04f31bc006defaf4c32d7e4303feb0e23ec | |
train_034788 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | agent_loop | expert | Task: agent_loop
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | ace43f051378a6f1328eeff9ff4ab4470891f222 | |
train_034789 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | code | advanced | Task: code
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": [
"performance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | ab822014273c8d3faf52440957702b3786ba3d52 | |
train_034790 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | expert | Task: code
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 8aacfbcf4a6d1aa4af7bc143abe05354037a331c | |
train_034791 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | review | expert | Task: review
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: TypeScript
Context: 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",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 049bc3ad2fe5bed8f10acc973603dda6f57b80f6 | |
train_034792 | 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: 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": "TypeScript",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 25ddfc49f017944a3770a8baa502202df1420796 | |
train_034793 | 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: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 7785ea2e8277b140ddc68bb39de684c2bfed3a99 | |
train_034794 | 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: 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": [
"coding",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 35cd2fa791fb3a2b46a3bd9bdac6c9fb4c9825b7 | |
train_034795 | 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: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | c9d1f2761f6f9a39c77dcedb534a3c39e0ad31b6 | |
train_034796 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | explain | advanced | Task: explain
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 316a5cb83bdeac456020a641610f1cbf04a1699d | |
train_034797 | 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: 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": "Go",
"moe_experts": [
"data",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 6a7cb5b4d6ff5d153147eff579d3e602ed3a0390 | |
train_034798 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | tool_trace | expert | Task: tool_trace
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | e27be762d6ff128f7c58efa7089038e130bf29e4 | |
train_034799 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | eval | advanced | Task: eval
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b8c7520e5929ca6d67e6aacbf7140d853d0ccdf3 |
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