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_033600 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | failure_analysis | advanced | Task: failure_analysis
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 7cb3cd52b5b602457ce5bcc1a60f659ccf4302d9 | |
train_033601 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | compare | expert | Task: compare
Topic: Latency, cost, throughput optimization
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": [
"coding",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | f0750796dd9c6f872426a75be704412bdb0ac24b | |
train_033602 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | code | advanced | Task: code
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | add960a85c0b3b2de909503cf30ab05faf83f507 | |
train_033603 | 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: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 9f855d3f2165952258b989584036cb7b135114bb | |
train_033604 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | patch_diff | expert | Task: patch_diff
Topic: Secure code generation, red-teaming, and policy gates
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "SQL",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 9d6efe51fd7f963618821385e842603b0a57b317 | |
train_033605 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | patch_diff | advanced | Task: patch_diff
Topic: Tool calling protocols and sandboxed execution
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 3d610dc5cefeebe5e974d809a3339facd0459221 | |
train_033606 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | tool_trace | advanced | Task: tool_trace
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | cb209d8c096d7e5246e1cd59ee5741c7f843766b | |
train_033607 | 2026-01-01T00:00:00 | Self-grading and automated model critique | eval | advanced | Task: eval
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 198c02935885237da49c4d3db49e7c42ff9817e4 | |
train_033608 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | patch_diff | expert | Task: patch_diff
Topic: Model merging, distillation, and continual learning
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": [
"performance",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | d1d13a07ec3cb1dccc57be1026ffd44a98fff5f1 | |
train_033609 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | failure_analysis | advanced | Task: failure_analysis
Topic: Secure code generation, red-teaming, and policy gates
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"evaluation",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 25f814fd3f75629e613313c9ec608efe9ff14bb3 | |
train_033610 | 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: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | b862a66fd5f4719c1702f82b183afa221e7f60c8 | |
train_033611 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "TypeScript",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 83a8b89c3f8b337fe1bedbb3faf273c336ee4015 | |
train_033612 | 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: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | b5f01799fb4ed3fe4ec2432c10003c1314903f39 | |
train_033613 | 2026-01-01T00:00:00 | Self-grading and automated model critique | patch_diff | advanced | Task: patch_diff
Topic: Self-grading and automated model critique
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 7bec5ee83a0e7963c363026cf84b1dc2c9b2d6a0 | |
train_033614 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | agent_loop | advanced | Task: agent_loop
Topic: Failure engineering and resilience testing
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": [
"performance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | beef8615e262fc86ed46a350180f3a15ccc82e28 | |
train_033615 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | failure_analysis | advanced | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | e4d74d17d3abe8031766bf607feabde9001fd929 | |
train_033616 | 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": 200,
"audit_required": true
} | 3f0e32b08b7ebbd1f8389c00f88da9a793934cb2 | |
train_033617 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | failure_analysis | advanced | Task: failure_analysis
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | c5a3a9b2725d44180c085218d038308d4c1639fd | |
train_033618 | 2026-01-01T00:00:00 | Self-grading and automated model critique | self_grade | advanced | Task: self_grade
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: TypeScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | a84572134d0ce456116dc245c3a85ea37a7c54cf | |
train_033619 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | expert | Task: failure_analysis
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 890018430f7a18fc8a84cbb72ced9f4ca2a8f612 | |
train_033620 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | patch_diff | advanced | Task: patch_diff
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 11c392396a4453ec60901a32f031279f6c6088f6 | |
train_033621 | 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: 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": [
"data",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 44383ba935ee3a956a3970445d190b2e6609d831 | |
train_033622 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | dd9546b0e846b22777430cc559372afba2372e66 | |
train_033623 | 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: 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",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 2e42da738c8011d61b6f8f166ac994df68a73bcf | |
train_033624 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | agent_loop | advanced | Task: agent_loop
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: TypeScript
Context: 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": [
"performance",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 29efc11ddb1920461ebf441729623591cb574b87 | |
train_033625 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | design | advanced | Task: design
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 58b9f3c7cb1e0309bafcf437107b35a8af8d0bf1 | |
train_033626 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | c63ac8670c10f1e92492326e68b8016907551939 | |
train_033627 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | self_grade | advanced | Task: self_grade
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"governance",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 73abcbba8c4dd0ab1419b6a87f4fc7114b7e2912 | |
train_033628 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | code | expert | Task: code
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | b1e2d7c2361adb53c5803a68ca3031a47fbace0d | |
train_033629 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | advanced | Task: eval
Topic: Governance, provenance, and audit logging
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 7156f86ebf1d0606420f355b22c6469da0cbd612 | |
train_033630 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | tool_trace | expert | Task: tool_trace
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: 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",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 22cf7f7f6645479f3ce675b67dbbf0672a562621 | |
train_033631 | 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: 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": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 8a180488f06b7585aafb526c3691da2d7a24f7b5 | |
train_033632 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | code | expert | Task: code
Topic: Latency, cost, throughput optimization
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.
Code:
```python
def agent_loop(plan, edit, test, issue, budget=4):
cost = 0
for _ in range(budget):
p = plan(issue)
patch = edi... | {
"language": "Python",
"moe_experts": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | f5d5fca7d9335e2867172619b4a07969ab3e7954 | |
train_033633 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | explain | advanced | Task: explain
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 6a0aec13635bcd75069d97640abaf66d564fd226 | |
train_033634 | 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: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | a93804107e851d56294f01f7f75cb5a90fd60c60 | |
train_033635 | 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: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 30559205ff1171096a4aff0e98ce1433aa1d20a0 | |
train_033636 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | eval | advanced | Task: eval
Topic: Extended context, memory, and repo graphs
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 2b4475f87bc9b5e707dfdbcfbe3fc867d9e981f0 | |
train_033637 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | eval | expert | Task: eval
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"performance",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 6ff2917047d655e7fd47384ca87426e026552214 | |
train_033638 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | design | advanced | Task: design
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 0bef4182fed460e535429e5ae4db75b18f01e2f3 | |
train_033639 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | eval | advanced | Task: eval
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 2f950a42dfd317e1f4c570273bb9a6d3bffb619c | |
train_033640 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | explain | advanced | Task: explain
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | c01641339297100d1914c7ac8d8644dee0a9d173 | |
train_033641 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | agent_loop | advanced | Task: agent_loop
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | a6c6f95af1df7222b17dc50daf8dd8a675ee5d0f | |
train_033642 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | design | expert | Task: design
Topic: Secure code generation, red-teaming, and policy gates
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": [
"data",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 129cae2fdda668fa7e1679ef346ab93dd2b962af | |
train_033643 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | explain | advanced | Task: explain
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: JavaScript
Context: 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": [
"agent",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 94bc28789ea280f60f55394460b8a00a53a97060 | |
train_033644 | 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: 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": [
"agent",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 793e82d2a09770fe2de3ee547fb41981aef0d633 | |
train_033645 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | review | expert | Task: review
Topic: Dataset curation pipelines and quality attribution
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",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 5bcc51b2554c09e4eb4ed70e5f4de6f5fd97533e | |
train_033646 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | data_pipeline | expert | Task: data_pipeline
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | a63af46e4820f97544797b0175c46685884d92cb | |
train_033647 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | code | expert | Task: code
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | ac2b819dc2a4e9efa5196333d0ff61d435bc3961 | |
train_033648 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | expert | Task: code
Topic: Failure engineering and resilience testing
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": [
"evaluation",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | af0c820538a184815da87693ce0c184ffe6fc957 | |
train_033649 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | agent_loop | expert | Task: agent_loop
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": [
"security",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | dd9cfa7cac9a43c3e1bf4b2571e5f853ee9d0cbd | |
train_033650 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | eval | advanced | Task: eval
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 8d8614a9386c24ab519661585c0dc1ef933aebb0 | |
train_033651 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | tool_trace | advanced | Task: tool_trace
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "C#",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | be198fbbd5051a98696a46e1e9879dfa096dacdc | |
train_033652 | 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: 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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 0aa009ef7e95813aefc03ba07a4121ed1bdf261a | |
train_033653 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | review | expert | Task: review
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 14738df1f74e145ce6350651073beaf417ceb1a5 | |
train_033654 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | data_pipeline | advanced | Task: data_pipeline
Topic: Governance, provenance, and audit logging
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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 4cba24632bd28a15ecdec8e7e1d3f0c52c1c5bf1 | |
train_033655 | 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: 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": [
"performance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 44807b8d43f441a84590a3056a6b465426d93913 | |
train_033656 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | code | expert | Task: code
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: 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": 4,
"latency_ms_target": 200,
"audit_required": true
} | 8795201e35021dc3507ebf8779d1c96ed4f68388 | |
train_033657 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 29cb93ad1083c801e60d2ca9acdc24010bb6a847 | |
train_033658 | 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: 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": [
"coding",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | a81bca81c68181875913c69012427f0a12e37824 | |
train_033659 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | data_pipeline | expert | Task: data_pipeline
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": [
"agent",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3c11277c64d5e34033d5cee4e9424da19158cbe5 | |
train_033660 | 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: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"security",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 7b74d6320a1c9591dc92fa09dc0d6daaa580967b | |
train_033661 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | advanced | Task: failure_analysis
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"data",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | d240aa631ec158bc1e5ac98de8d101acbf63918c | |
train_033662 | 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: 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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 12c93594c7b534765bd57ba7b3142544abef9e07 | |
train_033663 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | eval | advanced | Task: eval
Topic: Latency, cost, throughput optimization
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 448cb2144506deb3bc90e519b43fa08ee527a041 | |
train_033664 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | explain | advanced | Task: explain
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 564e53b1b9fbe0fc2dff77934f3d6385b833bc5e | |
train_033665 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | code | expert | Task: code
Topic: Model merging, distillation, and continual learning
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": [
"research",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 61cf422c58b18ba834f7fad44e0c93659adeb67b | |
train_033666 | 2026-01-01T00:00:00 | Self-grading and automated model critique | code | advanced | Task: code
Topic: Self-grading and automated model critique
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",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | d649cd2826a700b3fc8f213108441411ebc62a3c | |
train_033667 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | code | expert | Task: code
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: 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": [
"research",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 2d39cae1655f01bb19132fd1bc8bbcd4af6bc81b | |
train_033668 | 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: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Code:
```python
def agent_loop(plan, edit, test, issue, budget=4):
cost = 0
for _ in range(budget):
p = plan(issue)
patch = edi... | {
"language": "Python",
"moe_experts": [
"security",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a2b377e4dc6e3df99472d8878a7f497b0998d590 | |
train_033669 | 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: 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": [
"data",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | f082a1382330353054ab951e8d46006ba1d8a763 | |
train_033670 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | advanced | Task: code
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: JavaScript
Context: 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": 2,
"latency_ms_target": 200,
"audit_required": true
} | 55162cdecfb1a624fb80ebf3b1f76cff1c053cef | |
train_033671 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | failure_analysis | expert | Task: failure_analysis
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | ca5c4d9e82049abd9f4698ba3ffd12f4cf81ad34 | |
train_033672 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | review | advanced | Task: review
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: C#
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 88a2488ad361e534d2bb58e2aec98b5a93f01660 | |
train_033673 | 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: 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",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | e722868d1ec4db682862eccc55812c1b6b315742 | |
train_033674 | 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: 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": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | d5cad8ccdd4c5ec2f7b7a67c45cd21174f19d207 | |
train_033675 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | code | advanced | Task: code
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: Rust
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 6edc00799b28e0ca20c570020a4f93f855658bf4 | |
train_033676 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | explain | advanced | Task: explain
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: 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": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 5937f3b34c1f5e0b7f7405508ae6571a6b4a728c | |
train_033677 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | advanced | Task: code
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: 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": [
"evaluation",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 2a530e3f601dc760a376e34f857211c3257f3332 | |
train_033678 | 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: 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": [
"security",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | ff8ecd35fb875c829d14fef93523b9680c9a4d93 | |
train_033679 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | review | advanced | Task: review
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 2e8031bfddeb26c6a5e94244db964094965fb837 | |
train_033680 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | data_pipeline | advanced | Task: data_pipeline
Topic: Failure engineering and resilience testing
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": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 5d7f06c6b34e5ec4943b640ff157fc6ce99fc77f | |
train_033681 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | self_grade | expert | Task: self_grade
Topic: Reasoning-first coding models and tunable deliberation
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.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | d84b18554b6b41e3009c318437e26bbf015462e3 | |
train_033682 | 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: 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": [
"governance",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 989ee7acbba20193ed5089bbd58798e14f10f824 | |
train_033683 | 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: 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": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 8cdc1315fd94fa04a679cb34f45bb9f7df8f19ac | |
train_033684 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | review | advanced | Task: review
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: 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": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | a8e9f5ee8f57e09b6cd3b3135d6e0c0d41b895fd | |
train_033685 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | explain | advanced | Task: explain
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"data",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 79299b843b91f41f740af0d3e410648c91050a31 | |
train_033686 | 2026-01-01T00:00:00 | Self-grading and automated model critique | patch_diff | advanced | Task: patch_diff
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 503930869a0646061c735e796151fcad1847e2a1 | |
train_033687 | 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: 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",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 593b7fe67f97102c02694a8d1c7d92a25ae00602 | |
train_033688 | 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: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 5f4b81579332f5adf6c5a0a8080800bcec0a537c | |
train_033689 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | failure_analysis | expert | Task: failure_analysis
Topic: Model merging, distillation, and continual learning
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | e6c0764be8d06ea64d923b762a240ce8a6648fec | |
train_033690 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | design | advanced | Task: design
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: 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": [
"security",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 7aee87d911789afe1cdbcdc043539d165ef2260d | |
train_033691 | 2026-01-01T00:00:00 | Self-grading and automated model critique | failure_analysis | expert | Task: failure_analysis
Topic: Self-grading and automated model critique
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 6754ec6938c389a359ae053078b69bd64a9aa791 | |
train_033692 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | explain | expert | Task: explain
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"performance",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 072b41fbcf23aed5786ee3c5b0702ed1f7c988b0 | |
train_033693 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | advanced | Task: code
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: Java
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 734a96bfcbd42b24f6f27ae8971f20ea67f39cd9 | |
train_033694 | 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: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | d32b633f95f1a5af35ea564c5fdee07c39cb997b | |
train_033695 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | code | expert | Task: code
Topic: Governance, provenance, and audit logging
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": [
"governance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | f20a782714259dd22f754846cd337d5055b86d19 | |
train_033696 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | compare | expert | Task: compare
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: 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": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | c76193a5150edb87c55cce6100f70203056b6b2e | |
train_033697 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | failure_analysis | expert | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 85fc53b09d7af8c09567edc87b40621a9f087722 | |
train_033698 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | expert | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 13c08f6b35a394b26ac6893d3e74832eaf29a4da | |
train_033699 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | self_grade | advanced | Task: self_grade
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 617a34103e683a27bc608bd1ab1de331aa328d5a |
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