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_052100 | 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: 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": [
"data",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 72f6594a28c43f18247e1b46bc2736b000eb76a9 | |
train_052101 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | review | expert | Task: review
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 72cb5844a05ac23b91c6e6a216fa473f42c6b029 | |
train_052102 | 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: 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": [
"evaluation",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | bf9341ebe4ea2bae14358bb4b3a91999b8343369 | |
train_052103 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | review | advanced | Task: review
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | e5f3869ccad2d75719e257f5f73e151df87433f7 | |
train_052104 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | data_pipeline | advanced | Task: data_pipeline
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: Python
Context: 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": [
"security",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 07be1ba0aa8985f84e97e4e6270a06c0623f0364 | |
train_052105 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | failure_analysis | advanced | Task: failure_analysis
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 6feacc8e4c0b3af3becbe550f9afb1342c64edf2 | |
train_052106 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | patch_diff | advanced | Task: patch_diff
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: 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": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | ece22622da8f5c63cf3b78c2afbc589435f04d1a | |
train_052107 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | expert | Task: code
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Code:
```python
def agent_loop(plan, edit, test, issue, budget=4):
cost = 0
for _ in range(budget):
p = plan(issue)
patch = edi... | {
"language": "Python",
"moe_experts": [
"research",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 09868657f1c0fe8b3c3737a9e0603643b6580b30 | |
train_052108 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | self_grade | advanced | Task: self_grade
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: SQL
Context: 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": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "SQL",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 701a036a00c5d6f0ca60ccd2f1504e0d8e49c9e2 | |
train_052109 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | failure_analysis | advanced | Task: failure_analysis
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: 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": [
"performance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 8c20e726b5d5218b04a3d00982ca83cd817b356d | |
train_052110 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | advanced | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: 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": 4,
"latency_ms_target": 200,
"audit_required": true
} | 1a48e5b42c0d3ef72e2a4664497497aadc8d821c | |
train_052111 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | design | advanced | Task: design
Topic: Latency, cost, throughput optimization
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | cd92fb80ee3f1abb1fb8fccf6f89f985fb3af129 | |
train_052112 | 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: 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": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 097f1b175cc7aac816120becbde62f70f8909fa4 | |
train_052113 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | expert | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: expert
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 1ffd95f8b88fac51c3adc92f6e64b3b4043cd84e | |
train_052114 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | explain | advanced | Task: explain
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: 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": [
"agent",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 7c8d265d7e7953f1fda8fbad7b21ff4966ae5f07 | |
train_052115 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | review | expert | Task: review
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": [
"evaluation",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | a7a4e693607f6df321c58cf4b33d60116debf4e7 | |
train_052116 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | eval | expert | Task: eval
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 1c3e85a7d3d9f051393d4b51d5b23f73bf15e9ad | |
train_052117 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | expert | Task: patch_diff
Topic: Latency, cost, throughput optimization
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",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 7690fd2710fc42dbdcc8dfb00780d028ca0edb98 | |
train_052118 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | expert | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: Java
Context: 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",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 558c10bccdcf2f4bbd644b4ce78154d2334dfd50 | |
train_052119 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | eval | advanced | Task: eval
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: SQL
Context: 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": "SQL",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | d7fde81295757c61ad080d58f4b57abc5dbfb575 | |
train_052120 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | advanced | Task: design
Topic: Governance, provenance, and audit logging
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": [
"governance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 737eddd8623baaa57c97f0800913a35cce4a0921 | |
train_052121 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | e6badc166a8c31d68aa9aae2bda6e39f1f71a1be | |
train_052122 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | self_grade | advanced | Task: self_grade
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 7baad225c5da6ffb04244aa48a24098e31ed51af | |
train_052123 | 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: 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": [
"coding",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 2531a0dcba53d875d010ea5a11831bbf41915648 | |
train_052124 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | failure_analysis | expert | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"governance",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 742352027cf265e7d42b451570f28d3ddf655b11 | |
train_052125 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | review | advanced | Task: review
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 080ec0258aedcd23461bf071e68ef2c2488bbcbb | |
train_052126 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | failure_analysis | expert | Task: failure_analysis
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 456f7ec74579d7eba33b10548bd3cc358f249c85 | |
train_052127 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | data_pipeline | advanced | Task: data_pipeline
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: 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": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 66322ad4f646a58fde2a86bceb04bedaaca2e223 | |
train_052128 | 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: 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": 5,
"latency_ms_target": 100,
"audit_required": true
} | 2a0124849579e8c28fc06691e3bc49ae87b4d85e | |
train_052129 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | compare | advanced | Task: compare
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: 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": [
"research",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | c0e62a1f086f507c00b0cfee4f96124e35c5cec9 | |
train_052130 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | compare | expert | Task: compare
Topic: Failure engineering and resilience testing
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",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 5eee12ee646590ea39d49020527f7f5534b01b91 | |
train_052131 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | review | expert | Task: review
Topic: Model merging, distillation, and continual learning
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": [
"research",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 002254e65a281ee7b9c5cb79d10b541480549749 | |
train_052132 | 2026-01-01T00:00:00 | Self-grading and automated model critique | compare | advanced | Task: compare
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: 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",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | ce42a10765ed478c019099418a48be8d5f9dc2e9 | |
train_052133 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | tool_trace | expert | Task: tool_trace
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 0e02ad4af959338807dc92ca6cb620c2ba071605 | |
train_052134 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | patch_diff | advanced | Task: patch_diff
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | dceb03d511a5e378f47c38cfbadaf429b4c5395d | |
train_052135 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | tool_trace | expert | Task: tool_trace
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 62c48bb039b9a908fa66a611cd5c681fd800abd9 | |
train_052136 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | tool_trace | expert | Task: tool_trace
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 105d5c4621db1484e4e597b20509325cf36b0ef4 | |
train_052137 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | self_grade | advanced | Task: self_grade
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "JavaScript",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 28a1d1eca4c5d1ddb0529b2457c5e0d0890b5b9c | |
train_052138 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | failure_analysis | advanced | Task: failure_analysis
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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": [
"data",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 967ae8353212f82c7e82d2832e9ec858c6677f24 | |
train_052139 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | failure_analysis | expert | Task: failure_analysis
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Python",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 458f14dcd883e04df43989012b0c43d2322795f1 | |
train_052140 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | advanced | Task: design
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 0d4f6454c7750c5ed46223531b0fe04f2408165d | |
train_052141 | 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: 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": [
"coding",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | e1b3a86276459ea7633dcbb2fff90eec12e331ff | |
train_052142 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | failure_analysis | expert | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 742352027cf265e7d42b451570f28d3ddf655b11 | |
train_052143 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | eval | expert | Task: eval
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 1c3e85a7d3d9f051393d4b51d5b23f73bf15e9ad | |
train_052144 | 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: 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": [
"coding",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 443c76948aac1b5ec75fa86ec835fa1c56f82bd8 | |
train_052145 | 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: 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.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 0d87b6ba57da8729f06a3b0e2a4662a21df6678c | |
train_052146 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | tool_trace | advanced | Task: tool_trace
Topic: Secure code generation, red-teaming, and policy gates
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | f2f0fc4497341f1d95826d47b33da2da6c0883d0 | |
train_052147 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | data_pipeline | advanced | Task: data_pipeline
Topic: Tool calling protocols and sandboxed execution
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": [
"security",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 12d72501c3b2948ac2d225a2f704fcd639186f7d | |
train_052148 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | compare | expert | Task: compare
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": [
"coding",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | f472ec2e0d4e5f28ac92ff46cba9d7263baf6267 | |
train_052149 | 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: 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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 61a266f7f17dc15ada9fb53d29b7814870d90f1e | |
train_052150 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | eval | expert | Task: eval
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: 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",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 359e1720a906d681a7280d5631a3f0441a16d548 | |
train_052151 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | failure_analysis | expert | Task: failure_analysis
Topic: SWE-bench real-repo evaluation and leakage control
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | eda6f45d1b9b166c67442e8c55e2e389b445609d | |
train_052152 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | data_pipeline | advanced | Task: data_pipeline
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: advanced
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 066236ad1eb2caf496321fc2dbbe1ac99216ff27 | |
train_052153 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | agent_loop | advanced | Task: agent_loop
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 1772c2d8fc34a2df220f0d1b4c68d7a7b45f9026 | |
train_052154 | 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: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 26651d3078515750d2155b3deab076bff65f330f | |
train_052155 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | explain | expert | Task: explain
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 4c1ad3a6bff79287f71c27c9b2b44c8885a7c51b | |
train_052156 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Go",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | a0ea08be45e61915669f9865d5799986cf9d829a | |
train_052157 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | tool_trace | advanced | Task: tool_trace
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 12a4465bd90f2e2cbcddd9e397e612194985893e | |
train_052158 | 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: 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": [
"performance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 5a48caa0e37b38adc3b8a4ba4012f6b5474bbd41 | |
train_052159 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | self_grade | expert | Task: self_grade
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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 9161c7f424d458fa533f3f70a71ed29a0f0ddc0f | |
train_052160 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | explain | advanced | Task: explain
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: TypeScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | dc58a4ab2f599e294e653b2533490269391e295b | |
train_052161 | 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: 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": "C#",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | eeb7550c9cb53f0add9f4a81f8cdc78269cff5f1 | |
train_052162 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | design | expert | Task: design
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 1af951790aaa63b5eb3015ac9ab4df91381cf33f | |
train_052163 | 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: 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",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | fcaf58a302311f7daf2270fdb265b893100c4e47 | |
train_052164 | 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: 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": [
"performance",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | d36a1a9b6002de444050a66a5e1679210d0d15a2 | |
train_052165 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | design | expert | Task: design
Topic: Agentic coding systems (plan→edit→test→reflect)
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": 4,
"latency_ms_target": 200,
"audit_required": true
} | 0dbeff7bc9991f66f7aa361c910a68905fc0ed46 | |
train_052166 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | expert | Task: eval
Topic: Failure engineering and resilience testing
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": [
"evaluation",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | f54af3e352455085cfb40fd034048fd9e70b2812 | |
train_052167 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | code | advanced | Task: code
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | cb263caa8fd304e12c4bd40cdc244e9680221046 | |
train_052168 | 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: 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": [
"performance",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | d3a41ed8aebac04396166a4043a774a40001d7c9 | |
train_052169 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | self_grade | advanced | Task: self_grade
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | b3bf61efcb7088b6d8a8f4ceb562a3120e525aca | |
train_052170 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | tool_trace | advanced | Task: tool_trace
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | ca0a34f073988e3657685bc503fa5e7d649e2157 | |
train_052171 | 2026-01-01T00:00:00 | Self-grading and automated model critique | explain | advanced | Task: explain
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Go
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 0c4678ee7ab3a6169fda579309172f9ad6d66824 | |
train_052172 | 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: 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",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | be739356633de016669daf35536551732b59bf67 | |
train_052173 | 2026-01-01T00:00:00 | Self-grading and automated model critique | tool_trace | advanced | Task: tool_trace
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 7d2811b9602f123574c395c303bd7bd25ea42469 | |
train_052174 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | agent_loop | expert | Task: agent_loop
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": [
"coding",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 532b024a7d6aadcf4d2255c65952575a7fea18f5 | |
train_052175 | 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: 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": [
"agent",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 214afcb5decaf5c710cf7e246ebfd558c45a7b96 | |
train_052176 | 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: 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": [
"research",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | a5170a6f03b47e09d8bd2ad9fabdd64423d4d302 | |
train_052177 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | expert | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: expert
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 0c637d7c31f007706dcccf84bc2855a9afe3e18b | |
train_052178 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"agent",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 4561caef5acf8d505b9872163d3ce322b60a635f | |
train_052179 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | review | expert | Task: review
Topic: Code-specialized model families and scaling laws
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": [
"performance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 1a8395995c5873a5c214d30f1b64a994ee9c31a2 | |
train_052180 | 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: 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": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | eb5ed1e0bf1514c0b1507db8c086698c851cd518 | |
train_052181 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | tool_trace | expert | Task: tool_trace
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a25f92c009eab7dcb1369445ea035a50b2836a35 | |
train_052182 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | expert | Task: design
Topic: Governance, provenance, and audit logging
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",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | df8593bbc7f21b155c412c7714e6e374ca853b1d | |
train_052183 | 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: 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": [
"governance",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 4857e3007239aed0f5a76c2e2e34a9cb9dc34cb0 | |
train_052184 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | failure_analysis | advanced | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 0ecae4fc4bf3b38fe199406f6b20f96c386d8258 | |
train_052185 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | explain | advanced | Task: explain
Topic: Code-specialized model families and scaling laws
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": [
"security",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 4a0c5d2187910ee92b47bda3fd8d5294dc2d3310 | |
train_052186 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | compare | expert | Task: compare
Topic: Tool calling protocols and sandboxed execution
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",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 5041307e52a23c842fb3d213b07e97e908e05ce1 | |
train_052187 | 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: 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",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 8db7bc704460b9b6c4fabb5a97e55200d578d8c3 | |
train_052188 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | self_grade | advanced | Task: self_grade
Topic: Reasoning-first coding models and tunable deliberation
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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 2768ad7c8e1a9f1f10646e737237c222960cb007 | |
train_052189 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | self_grade | expert | Task: self_grade
Topic: Failure engineering and resilience testing
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": [
"data",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 6c60509309286220a39c6585656989ff664f9bd5 | |
train_052190 | 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: 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": [
"research",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 02561af755791af61118326abc59ef9c13e56643 | |
train_052191 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | advanced | Task: eval
Topic: Governance, provenance, and audit logging
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 9d02a757a1734e7079e4aa261e674f1bf0f0ac72 | |
train_052192 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | explain | expert | Task: explain
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | e49d4971c85cde2b4aee4d4483c8ed538457b436 | |
train_052193 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | eval | advanced | Task: eval
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: JavaScript
Context: 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": "JavaScript",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 38225f08732a0d852d456643d533ff238207363b | |
train_052194 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | compare | expert | Task: compare
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"governance",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 2718972492bedfb5e10f07e378cc9ab783007bea | |
train_052195 | 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": [
"data",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a32142f6cd6095f6355791483e4e6987e090634e | |
train_052196 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | explain | advanced | Task: explain
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: 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",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 13a4df9074da8371326686621d6b23a078dff59e | |
train_052197 | 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: 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": "C#",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a3520f0389e7b5c990ff2df35c80c91e0a95141d | |
train_052198 | 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": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 29efc11ddb1920461ebf441729623591cb574b87 | |
train_052199 | 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: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 76f8738c42aef89a2d1b6a43dea52456da72727f |
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