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_088800 | 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: Rust
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"research",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | bb1bf2ffe6bed880cbb8cce105b7348b53c53210 | |
train_088801 | 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: 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": [
"agent",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 82a65f2d5f9dc7743f97505c6a72a707eae90f62 | |
train_088802 | 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: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 85ae76505c68be1ce20c0e6ba07adbab3c704717 | |
train_088803 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | explain | advanced | Task: explain
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"security",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f8b2752b00e0d7b1333cd4362c1dca6e6e0862b8 | |
train_088804 | 2026-01-01T00:00:00 | Self-grading and automated model critique | eval | expert | Task: eval
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | ee1b0fe37730cc0d34d9475b8472eb5305464b72 | |
train_088805 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | tool_trace | advanced | Task: tool_trace
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 72ccf14c51952945d265ab469d318aa926b44b80 | |
train_088806 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | advanced | Task: self_grade
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 4049df35c92f386e63084344a83e2381536baee5 | |
train_088807 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | patch_diff | advanced | Task: patch_diff
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 80fda4f72739960c1a792becf58c1a84655e4919 | |
train_088808 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | design | advanced | Task: design
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": [
"coding",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 051df7b5a82096e64b216158f0220a48df2afba4 | |
train_088809 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | advanced | Task: data_pipeline
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 51869efc6efbf6bc3c1f40f5bf781f5459e15b38 | |
train_088810 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | advanced | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | ab3434b2981e0de2ca7ebe1cc1518cfd485898c0 | |
train_088811 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "C#",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | d7ca8155eb72d41d7178783da791f0c96588ad18 | |
train_088812 | 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: 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": [
"data",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | b880b29313295a360f45513db7960d4c157019f6 | |
train_088813 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | self_grade | expert | Task: self_grade
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"governance",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 630e570fe1a7505f9bf07afc3d14fcbc44ee815a | |
train_088814 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | agent_loop | advanced | Task: agent_loop
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | f6a3f1dfd77f6ee91606c4bd3b6ec13fd99b884e | |
train_088815 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | data_pipeline | expert | Task: data_pipeline
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 03128225570ef26b8a5b54745081c2de0ba77bed | |
train_088816 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | ff0f05a289e46381775fac8ae43786704d1cc2da | |
train_088817 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | code | expert | Task: code
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"data",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 5190e4993a6e72e8198d916e2e134024748f9a0c | |
train_088818 | 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: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | e81cb2917754a948d725b58b6cfe1da31885a4dc | |
train_088819 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | compare | expert | Task: compare
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 0a8a7f385fedfbd233a59e61ee590b82e3389639 | |
train_088820 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | eval | advanced | Task: eval
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 7adfcd1355ab7e6abb8e27f6e2da2e7356b94d65 | |
train_088821 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | expert | Task: self_grade
Topic: Latency, cost, throughput optimization
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.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 5f63f94a926f59e3f4334ee7294383445e4085a6 | |
train_088822 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | patch_diff | expert | Task: patch_diff
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Python",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 23282445f554748e9a43d53b8fb5b5ea64c33807 | |
train_088823 | 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: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 28b6c4aab232933797a96e08995b2e0e6f175766 | |
train_088824 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | patch_diff | expert | Task: patch_diff
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | d31c31e60ba2bafc5016ae81f976c6a37599a360 | |
train_088825 | 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: 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": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 6ed063afb80d0da179d974c628701f67b2f91836 | |
train_088826 | 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: 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": [
"coding",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 4bd51c1259156f275cc52734d4f2998b7bdac2f8 | |
train_088827 | 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: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | e697a778d8612f70d8b6bbdf6a56704dc03db0ad | |
train_088828 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | self_grade | advanced | Task: self_grade
Topic: Agentic coding systems (plan→edit→test→reflect)
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 154d7a52d2046096ccca8a4be9cd5b71900a12ae | |
train_088829 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | explain | advanced | Task: explain
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Python
Context: 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": [
"agent",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 2bf84414f60b30dca744f770bfb5d92794761dd2 | |
train_088830 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | self_grade | advanced | Task: self_grade
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 60d3bee9b8f718a8e087a256c9de823038d5fba3 | |
train_088831 | 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: 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",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 162e29e2a6d4d16c19d93c3b5422a7a556542ca8 | |
train_088832 | 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: 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": 4,
"latency_ms_target": 200,
"audit_required": true
} | a2e7a67039252b2e426acd9456ef12711f9b2298 | |
train_088833 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | expert | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | f7c731e37880a7172ba486a969dccab1bd258967 | |
train_088834 | 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: 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",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 58cfe03903c5b46297bf32acdd1ddc5a3451db9f | |
train_088835 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | self_grade | advanced | Task: self_grade
Topic: Agentic coding systems (plan→edit→test→reflect)
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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 708d5dedda81789d620876d64b8690201a85b6cb | |
train_088836 | 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: 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": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 54f2bdccdf3e8188a3acef6fdd28fa636a967bf3 | |
train_088837 | 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: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | e7a83e79356d457658dec0f88e64cb03e16097e7 | |
train_088838 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | eval | advanced | Task: eval
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | f9b3258c5b5c7988fcadf2571d74f1e93738f848 | |
train_088839 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | code | advanced | Task: code
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 3e42cc0d698e30e784a53deea115544312b9c482 | |
train_088840 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | expert | Task: patch_diff
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: C#
Context: 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": [
"security",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 20ba8fda0e2931928b79254ad08ef3fe45e0f4fd | |
train_088841 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | advanced | Task: code
Topic: Failure engineering and resilience testing
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": [
"evaluation",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 1b66c4e0fff2f015d4e0158659712be4b7152acd | |
train_088842 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | patch_diff | advanced | Task: patch_diff
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"data",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | a382f777796bb2e23c63d0260bb25371f5ad3e59 | |
train_088843 | 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: 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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | f12875779e0ac0ee302a2391fb4b0ed547480e10 | |
train_088844 | 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: 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": [
"security",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 5d02d4731008f93e996a3b97acb4ee4b1195675e | |
train_088845 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | code | expert | Task: code
Topic: Latency, cost, throughput optimization
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": [
"performance",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | c88ec72a0f2f18033808e56399a637fdeb40bee5 | |
train_088846 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | design | advanced | Task: design
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: 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",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 078d988d77765103385f65cfbeddabff2871da88 | |
train_088847 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | self_grade | expert | Task: self_grade
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 73dbbddeb5f6bafb691c4a66d535ae6d0a3e9f18 | |
train_088848 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | explain | expert | Task: explain
Topic: Governance, provenance, and audit logging
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": [
"data",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b5ae4113bcc864dc808190261c19fdc046fa4ff0 | |
train_088849 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | advanced | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | c69d41ba412ec421889e3d2f6b68a4ab84441c00 | |
train_088850 | 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: 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",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f2cfdd56021369362509935e3a0e375dc02e22f0 | |
train_088851 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | failure_analysis | advanced | Task: failure_analysis
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"security",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 50616df38e5e36c02dbb4aa90e285f5691d31a52 | |
train_088852 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | agent_loop | expert | Task: agent_loop
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"data",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 04d7c488eb0413115ca82cc3efc23380c70caaa8 | |
train_088853 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | compare | advanced | Task: compare
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | a5f05ab1f421cba1d5fa60b07bd2901180763af7 | |
train_088854 | 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: 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": [
"data",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | ec5aa7d133507d5b0ecf20602aed588cca1215e4 | |
train_088855 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | advanced | Task: patch_diff
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 681eb3fae676401c84592460bbe48034b84f6291 | |
train_088856 | 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: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | a32142f6cd6095f6355791483e4e6987e090634e | |
train_088857 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | tool_trace | expert | Task: tool_trace
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: SQL
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"research",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 6ee8386353f54e2b6342e5e5b6b87a49e259564d | |
train_088858 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | advanced | Task: eval
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 0b89b51f7ca64b0698846c65e0c7fa6d268b075e | |
train_088859 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | eval | expert | Task: eval
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 67947de1454843c21ebc7437a6d127e6b4848ca3 | |
train_088860 | 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: 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": [
"governance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | eb3b48476ee518be3a79a55a1c1770e3d99deea1 | |
train_088861 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | expert | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 0ec3b46a455cab005edf3f0604fda09d2085d432 | |
train_088862 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | agent_loop | expert | Task: agent_loop
Topic: Secure code generation, red-teaming, and policy gates
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": [
"governance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | ec82ecc28984d8c466fa99f243e71a9fccfc507b | |
train_088863 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | patch_diff | expert | Task: patch_diff
Topic: Agentic coding systems (plan→edit→test→reflect)
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"data",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 738d55f220813f0a17908d07bf8fce32fb0fe130 | |
train_088864 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | failure_analysis | expert | Task: failure_analysis
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 9345abcafd73c7d02a477f834b6e23c66d3c48a7 | |
train_088865 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | agent_loop | expert | Task: agent_loop
Topic: Secure code generation, red-teaming, and policy gates
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": [
"performance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 24fe50de8a333abe903220ffb16cd860778e586b | |
train_088866 | 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: 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",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a8306381bf0cda411f7cd30171c9a0bb39d80a92 | |
train_088867 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | tool_trace | advanced | Task: tool_trace
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 3475bf55a6badc4067cd4c2b5f92e2a7f6ac012e | |
train_088868 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | explain | expert | Task: explain
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 89f6ec044b894fac7663f99a2738d3ea0ca1211f | |
train_088869 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | data_pipeline | expert | Task: data_pipeline
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: 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": [
"research",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 976044f3b7f47f12382ee20b5a2f99d9a5eea57f | |
train_088870 | 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: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 7058b3ec0534fe0e0491bdddbdc1858e46cb25e0 | |
train_088871 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | review | advanced | Task: review
Topic: Reasoning-first coding models and tunable deliberation
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": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | cd644527648db31004ce1cba5067dc2e36b6ff8e | |
train_088872 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | expert | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: 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": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | aca37766aebb342e35dccd863a9f42624a05b140 | |
train_088873 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | eval | advanced | Task: eval
Topic: Secure code generation, red-teaming, and policy gates
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 50a2151e69cc11854f3447a24af121e54d0678ab | |
train_088874 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | code | expert | Task: code
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 9d6cf952a2c5f52adf99e07350933c8c8813e4b3 | |
train_088875 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | failure_analysis | expert | Task: failure_analysis
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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": [
"performance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 54f03bcd2212ebf9cbbe291acd9af9d7cbcf817a | |
train_088876 | 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: 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": [
"security",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 812865355dd7f880079da1d8a1d012d6ccfd4ee1 | |
train_088877 | 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: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3f372768e95c7ad6b286b6c803d234bedc782072 | |
train_088878 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | compare | advanced | Task: compare
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 73a107be8281f9735011314e89401845530c6fad | |
train_088879 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | explain | expert | Task: explain
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": [
"coding",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | ea615adfdc9c6ee3202725ba8f360f05fe23bdf2 | |
train_088880 | 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: 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": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | c34e41572d2fcd06ae5dc897124df9c98b72e655 | |
train_088881 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | patch_diff | expert | Task: patch_diff
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "TypeScript",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 96cb4b6bb043447bcb092359cebcf091feeba148 | |
train_088882 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | advanced | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"security",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | ab3434b2981e0de2ca7ebe1cc1518cfd485898c0 | |
train_088883 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | design | advanced | Task: design
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | cdaed515267c02a263df7f0ecf4000c588f2fa4c | |
train_088884 | 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: 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": [
"security",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 2394a1698968079996a9a12b7df59e06c33245fe | |
train_088885 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | review | expert | Task: review
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 6c94fa32f675484767652ac11335baf5aac3a22b | |
train_088886 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | patch_diff | expert | Task: patch_diff
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Python",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 791971c1fec150cf757ec4bcbaed24e73ac0f56e | |
train_088887 | 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: 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",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | b04f0e2ce54ddeae387648b144d4491a4b3e1f9d | |
train_088888 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | patch_diff | expert | Task: patch_diff
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | d9019e54144d513edf30a3668c969d8a0742d20e | |
train_088889 | 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: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 435f5d2993f4c31e360c19155e82d4d072a3eb11 | |
train_088890 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | explain | advanced | Task: explain
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: 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": [
"research",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | aaf2bb1bd6678773333f842ebfd34d851a3ad47e | |
train_088891 | 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: 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",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 12f8b00516f2d2617bcb0d479b2be0780e1b4b62 | |
train_088892 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | review | expert | Task: review
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 6a6768efddab9baf3210553e8a5a6c6679803d35 | |
train_088893 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | review | expert | Task: review
Topic: Latency, cost, throughput optimization
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b35a2dcc23055919149a00002f8e7995f8fdce92 | |
train_088894 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | patch_diff | advanced | Task: patch_diff
Topic: Dataset curation pipelines and quality attribution
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Python",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 903618e154625e050c6f30830cac62205f5ddbcd | |
train_088895 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | advanced | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 455338db54e3a9bf0d33fe5f85712cc769666e01 | |
train_088896 | 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: 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": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b2435a28007abe80d5b4d7731a8455d4ee4a40d4 | |
train_088897 | 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: 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": [
"data",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 83c9200aaebdedf9e1c54639a748740741b0fb5e | |
train_088898 | 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": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | fd5a9adef1acf599d4ab9f58a85250b2d3716132 | |
train_088899 | 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: 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",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | b94d98d1722d18c5f302b6435ddf023d961b3b58 |
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