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_063900 | 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: 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",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 9a914fb6862dedadc31ba4b4470126068c2fab97 | |
train_063901 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | failure_analysis | advanced | Task: failure_analysis
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 07bd75c93a6e9c11bf0c8cc2f7d863d0712d23d8 | |
train_063902 | 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": [
"research",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 8db7bc704460b9b6c4fabb5a97e55200d578d8c3 | |
train_063903 | 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: 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": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 56fd7d76ca8af1467b1c8f662b5be061e8c794b9 | |
train_063904 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | explain | advanced | Task: explain
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 7309236dd268713de3556f2d218fe04275b8c247 | |
train_063905 | 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: 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": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 713353457b9818d8e7b38f378cc0f31d339bbf6c | |
train_063906 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | advanced | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: 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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 6e0b74481a44b0379d791cfb05dc5ea85ef9019e | |
train_063907 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | patch_diff | expert | Task: patch_diff
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | ff57ad22365121a01fe54fefadd17953f43d4618 | |
train_063908 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | compare | expert | Task: compare
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 7c95154192feee57495e042b4fadda4879b2a066 | |
train_063909 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | design | expert | Task: design
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: 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": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 166ede37be43d45963727a43a85fb502dadf6f32 | |
train_063910 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | data_pipeline | advanced | Task: data_pipeline
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: 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": [
"data",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 02a94d2513ecd7bc9da8342e0cf614cd5dc79cf9 | |
train_063911 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | explain | expert | Task: explain
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"coding",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | e5a956497da098b4b4d12d1181901c56e7ce31d8 | |
train_063912 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | compare | expert | Task: compare
Topic: Reasoning-first coding models and tunable deliberation
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": [
"coding",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | a6030456ad994b98584273302e2cf585dd9eeaff | |
train_063913 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 24172cc74a27cbfc94b38a06b574231ecb948f4e | |
train_063914 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | expert | Task: eval
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | f6a151f2c51c0b93187858b8b0df5923f0aa3ad0 | |
train_063915 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | patch_diff | advanced | Task: patch_diff
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | e1cfd737cc40c460ba3fb1b145d47eda11950297 | |
train_063916 | 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: 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": "Bash",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | cd2f0bde2cfe9a3c01ebcc0cfe4ff3387b3cfd7d | |
train_063917 | 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: Go
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 19c6e025d39a7f8806fefb9d0955b7d749bfc1aa | |
train_063918 | 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: 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": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 3b6e763b446f9b8ec1a9383d212d08e78ca7e4c2 | |
train_063919 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | review | advanced | Task: review
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | d4b94e6725471a0cdb5b14c6e235e3885872eba5 | |
train_063920 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | patch_diff | advanced | Task: patch_diff
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: SQL
Context: 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": "SQL",
"moe_experts": [
"data",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | f658721074960b475f1542647e79fdc03d20b127 | |
train_063921 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | tool_trace | advanced | Task: tool_trace
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: 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": [
"performance",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 22e5322b20809d42fb090c25811b1416d0949d9e | |
train_063922 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | failure_analysis | advanced | Task: failure_analysis
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 989627840ac593f619cee67af6f5b218dfa039af | |
train_063923 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | explain | expert | Task: explain
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: 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",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 47ce8ee96949f59c065b46d0cc0859598cb775fd | |
train_063924 | 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: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 58c22a01ebaec8e2f5a43fdc3673ecf47e739d67 | |
train_063925 | 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: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | e4a2143c0bffee7aaa147bc4245b9a2027b0155b | |
train_063926 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | compare | expert | Task: compare
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 78a629c3e1232bdcebeedbc594a5b9474d15cfb0 | |
train_063927 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | data_pipeline | advanced | Task: data_pipeline
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"performance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 9b633dd64d83f7a2d03b92536cf9c9e9185fcccc | |
train_063928 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | advanced | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: 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",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 60e47b564d93015a05617c51308475242c2b9616 | |
train_063929 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | advanced | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: SQL
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | dcaa390f585d42072081a34a8e9398eaf2295971 | |
train_063930 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | agent_loop | advanced | Task: agent_loop
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"governance",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 66a20271c6df4b02927bf0a07ed10d3bfcb74f77 | |
train_063931 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | review | advanced | Task: review
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",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 76c700796a78f7f4e47360325d3d2125ba7e53ab | |
train_063932 | 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: 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": [
"evaluation",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 3fcd2f08e097fd36735bb9ff6ca676331eb4e135 | |
train_063933 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | explain | expert | Task: explain
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Bash
Context: 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": [
"security",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | d52fcd70276914190a34bad33d14a86f46598260 | |
train_063934 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | advanced | Task: compare
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 4ae32b39e316f24b98bd27f47d406b348ed9ff4a | |
train_063935 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | compare | expert | Task: compare
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | fc6dcc9a955fe69dc9a746bf5231292824afca8f | |
train_063936 | 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: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 61edd534c79b209f64c3c6d96a44814b1eb09140 | |
train_063937 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | advanced | Task: eval
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 25d847b4e644739d7fc9269ba8ffd7e256369e87 | |
train_063938 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | tool_trace | expert | Task: tool_trace
Topic: SWE-bench real-repo evaluation and leakage control
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 78e15df2b90989489cbee52809e8a2cdfe7fa916 | |
train_063939 | 2026-01-01T00:00:00 | Self-grading and automated model critique | patch_diff | expert | Task: patch_diff
Topic: Self-grading and automated model critique
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | ec2a2f1f3c6efe84b6476822bdc90fec44350a0c | |
train_063940 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | data_pipeline | expert | Task: data_pipeline
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: SQL
Context: 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": 2,
"latency_ms_target": 200,
"audit_required": true
} | 3eee0f5ce6492e935f9fe65a97ec54047d27445d | |
train_063941 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | design | advanced | Task: design
Topic: Reasoning-first coding models and tunable deliberation
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": 4,
"latency_ms_target": 200,
"audit_required": true
} | dea0624bc0543895171ad6d9692c968657e37cfe | |
train_063942 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | compare | advanced | Task: compare
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: 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",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 175047e7e6bea86316327d32de582d45cc11f976 | |
train_063943 | 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: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "C#",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | e5af702e19a25c51e9edea4db8cc21202133d30b | |
train_063944 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | compare | advanced | Task: compare
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"research",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | beaee3d29edddbabf25ae562c939a1ebf808e25e | |
train_063945 | 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: Go
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 705daa25c9528b31a93e8d3750d10490d16ac1f3 | |
train_063946 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | design | expert | Task: design
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Rust
Context: 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": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 5f816bd91dd57cd2508ae906a1a2da2901c1b88e | |
train_063947 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | advanced | Task: code
Topic: Failure engineering and resilience testing
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": [
"research",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 0ebee5c84505e5854d3476e9607aee69c2be7c09 | |
train_063948 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | code | expert | Task: code
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: expert
Language: 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": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | a925d59d5c78870d1ebaef4f25a4b1d4ea68d51a | |
train_063949 | 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: 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": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 5b89c30ffaa1cc61be008086074e71ade0ef71e9 | |
train_063950 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | tool_trace | advanced | Task: tool_trace
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: 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": [
"coding",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 35d1276f3737bb3a75c8deb4b07cbd82bfe24566 | |
train_063951 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | tool_trace | expert | Task: tool_trace
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Python
Context: 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": "Python",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 20696c81e8b1eaaa0e9010df72ea31beaf9842df | |
train_063952 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | explain | advanced | Task: explain
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: TypeScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | f8b2752b00e0d7b1333cd4362c1dca6e6e0862b8 | |
train_063953 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | review | expert | Task: review
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3ec0a502539b14b6f8d2bbba1496cc1c1885edcb | |
train_063954 | 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: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 0c4539f064723ff0e996cf1a4fe09df9b19df0f6 | |
train_063955 | 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: 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.
{
"score": 9,
"confidence": 0.9,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a47cb1a194e526eb13b21525f92d36ba2988ec1b | |
train_063956 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | compare | expert | Task: compare
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: Java
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 2ba02266219edfe39b4160b5d789701f84811c35 | |
train_063957 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | explain | advanced | Task: explain
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: 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": [
"security",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 8041ca5c9195f62702f2e920671758fcd5f980b2 | |
train_063958 | 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: 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
} | f9145469b2597fe7a8d8fbed24a577e64b7c74b1 | |
train_063959 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | expert | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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": [
"evaluation",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 642ceae1c63a98c069f907b7044433979b09be43 | |
train_063960 | 2026-01-01T00:00:00 | Self-grading and automated model critique | self_grade | expert | Task: self_grade
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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 1d6b69bcf89d42b0f5b10184a5a7f46b862e516b | |
train_063961 | 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: 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": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 728a738077677a1fbf00c3e7a6933f953c1c1825 | |
train_063962 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | patch_diff | expert | Task: patch_diff
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"security",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | ff57ad22365121a01fe54fefadd17953f43d4618 | |
train_063963 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | review | expert | Task: review
Topic: Governance, provenance, and audit logging
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",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 4013b64fb2ce072aab5587f7edccd1b451ac3645 | |
train_063964 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | advanced | Task: failure_analysis
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 3a073500ff6b8a1efa524f51c57c51b743ac7544 | |
train_063965 | 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: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"data",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | ead65102b08693e58ab67fb297d75f844dcd62f3 | |
train_063966 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | agent_loop | expert | Task: agent_loop
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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": [
"security",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 4808195238b02741a93c44dd77cb410c2a3169af | |
train_063967 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | data_pipeline | advanced | Task: data_pipeline
Topic: Secure code generation, red-teaming, and policy gates
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": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 6e4e72f7dc36e9d63150e2508bfdfe9821de292e | |
train_063968 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | explain | advanced | Task: explain
Topic: Reasoning-first coding models and tunable deliberation
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",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 19b2a5b54e87b966b7024fbc1c5ac25c21d234c0 | |
train_063969 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | self_grade | advanced | Task: self_grade
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | f174c9ac1dcf79699da0e24047b3f55f1b87ba9e | |
train_063970 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | compare | expert | Task: compare
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Go
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 28d566a3a925b295e0b27f35c4e3adb8f43b18e1 | |
train_063971 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "JavaScript",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 1af99f63303bc9ea8de7e8bbdf9c094da56650ff | |
train_063972 | 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: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | be4ee3c1103e3446ebdd35ce8e6f629274349d16 | |
train_063973 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | agent_loop | expert | Task: agent_loop
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | a3b5a429817d783bbd8e60c65f4adc450eae838d | |
train_063974 | 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: 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": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 5504cc5fa835be801567129823de8b2d14338b3c | |
train_063975 | 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: 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",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 37ac97a35d136754ca08b53cfb1d9170b20fc688 | |
train_063976 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | design | expert | Task: design
Topic: Dataset curation pipelines and quality attribution
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": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | cf31504c84fcc84971e37d93add2c5ef6801ba10 | |
train_063977 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | compare | expert | Task: compare
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: JavaScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | fc846ac51d3912c02579fb1d3ad443a9b7dcacc4 | |
train_063978 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | agent_loop | expert | Task: agent_loop
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: 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",
"agent"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | c3696a9038e93a7bffe23cc3a92a13074f387445 | |
train_063979 | 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: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b44eaa2f94de01027aab468b10a69b1d0a59fc4d | |
train_063980 | 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: 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": [
"performance",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | f785e2a1f58bff737d815a1380f492c651a6c1c3 | |
train_063981 | 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": [
"performance",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | add960a85c0b3b2de909503cf30ab05faf83f507 | |
train_063982 | 2026-01-01T00:00:00 | Self-grading and automated model critique | data_pipeline | advanced | Task: data_pipeline
Topic: Self-grading and automated model critique
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": [
"governance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 4f321550d2872fc933d3ab0cca410f82e64fbabd | |
train_063983 | 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: 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": [
"evaluation",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 2fafee6602be8b010930ddb1fedbce125273f278 | |
train_063984 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | design | advanced | Task: design
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 5248d7bd20bedc7f3e284c559b860ffd848792c4 | |
train_063985 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | explain | expert | Task: explain
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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": [
"performance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 2325faf740603a82df066d181fb1a314308c662e | |
train_063986 | 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: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 1fead2a2b7590b3f5d0628c488f18a4d4d97a952 | |
train_063987 | 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: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 8d03ad8e7459b4ee54a6791ce5cb0ea3b2d7205a | |
train_063988 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | agent_loop | expert | Task: agent_loop
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 1316cf7fe2ef7ed8ae1d5d93f1a3e9038d9e85b1 | |
train_063989 | 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: 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": 3,
"latency_ms_target": 100,
"audit_required": true
} | ab9084556ff64d5a319c31cbf7b0f12524b2b0f1 | |
train_063990 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | failure_analysis | expert | Task: failure_analysis
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | d18e4e0cd81d4dcfd061f021eaca7597b534ab2b | |
train_063991 | 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: 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": [
"data",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 584ff6f5fda023eac22c8b73d4ff5eac3ab1d9ef | |
train_063992 | 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: 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": [
"agent",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 78ebc25cec94c8e2d5a28dfa3a43a29a2832f7dd | |
train_063993 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | compare | expert | Task: compare
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": [
"research",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 9f16e3c62c9660496ef62211879c36f105ca9cd8 | |
train_063994 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | advanced | Task: patch_diff
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: TypeScript
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "TypeScript",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | e2ef2254d0de76502a64ee8f2a3d4c6bd3ea73be | |
train_063995 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | expert | Task: eval
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 62e0740216385488e9daea925dd1d98b1be1eec2 | |
train_063996 | 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: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 46c537a9743c2084abd2d15300a965a33e21375e | |
train_063997 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | eval | advanced | Task: eval
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 976ca32bd1215d36a8540dfde7c7f2e780100ef3 | |
train_063998 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | design | advanced | Task: design
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: TypeScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 94f053f104d9ea4bcb218443da1f153359e44b94 | |
train_063999 | 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: 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": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"evaluation",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 2ed89df55bc933a07e7b8cafde0a71a6bfd8f67e |
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