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_010900 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | design | advanced | Task: design
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: JavaScript
Context: 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",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | b1df22b2c812a40fb00906cb99f9a90690e338c5 | |
train_010901 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | compare | advanced | Task: compare
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | e355ff449fe017b3a0e28112d13bc0f7e46432c2 | |
train_010902 | 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: 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": [
"governance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | cfb54656e8605b653b2a51e5311aa05dd565e646 | |
train_010903 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | explain | expert | Task: explain
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: SQL
Context: 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": 3,
"latency_ms_target": 200,
"audit_required": true
} | 72b192b937b2e14cc36b84e8a2863ddeb0a4c5d5 | |
train_010904 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | eval | advanced | Task: eval
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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": [
"data",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | e8c59c7e5e824de0d9ea6255f971776f9e8c3c0c | |
train_010905 | 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: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"research",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 59441b43478d3cd512504a02bd56ed1c61078a0f | |
train_010906 | 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: 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": [
"research",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 200fdc2414a5548087b9365c48c6699f6cdb9ec9 | |
train_010907 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | agent_loop | advanced | Task: agent_loop
Topic: Governance, provenance, and audit logging
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": [
"data",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 9f9272fb7383e665dac3caff2f0b5d84c03eba1f | |
train_010908 | 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: 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": [
"coding",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 76c9892c2bd8e61f0838cae655deb0d9803afe1f | |
train_010909 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | patch_diff | expert | Task: patch_diff
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Python
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Python",
"moe_experts": [
"data",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | c81ecfe17c0907b2e620c97b16f01327291ad7f3 | |
train_010910 | 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: SQL
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 8dac6d481ef7ca8bc13532c01f900b30fae1e786 | |
train_010911 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | code | expert | Task: code
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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": 3,
"latency_ms_target": 100,
"audit_required": true
} | ead40f25e23ee83bf772a643b7dbf506e3b21429 | |
train_010912 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | explain | advanced | Task: explain
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: Java
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 6309ff56d50cf124a0618a4c4e59fccd8167895b | |
train_010913 | 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: 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": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 35d1f44082a29837b8754034980c12361208af6b | |
train_010914 | 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: 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",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | cbc2354740168569b8dbb154035bed52ae35e3d8 | |
train_010915 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | review | advanced | Task: review
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: JavaScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | a8402c9366d04e3393082fa71eefb65b38c2097d | |
train_010916 | 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: JavaScript
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"security",
"research"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | b92eede8b4b1b02c8509761196bd3dd0f12879a4 | |
train_010917 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | eval | expert | Task: eval
Topic: Latency, cost, throughput optimization
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Go",
"moe_experts": [
"data",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | ee5deb8649614fa86cac03bda12ef2ce829e4dde | |
train_010918 | 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: SQL
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | f60aaef0034a3e284d62b44963f5be2f2385d748 | |
train_010919 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 38e620016bf31441c2c69adbd3f1e4d2305eb111 | |
train_010920 | 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: 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": [
"research",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 895d8f33cb6f06508e6f7c1928200dcbe8cece5d | |
train_010921 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | failure_analysis | expert | Task: failure_analysis
Topic: Dataset curation pipelines and quality attribution
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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 1ad4d699b9b7f19283eda6d1172e2aa72f6cbe01 | |
train_010922 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "JavaScript",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | cc5baa7c3fed2a159517cd5acaa8e76e9cb40a26 | |
train_010923 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | advanced | Task: self_grade
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: TypeScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 5c4a0f8091e4d689a52777c90873151fab52bbea | |
train_010924 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | design | expert | Task: design
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 9264f53a3d748382d215a75d62f3e06b8dabb2af | |
train_010925 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | review | advanced | Task: review
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: 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": [
"evaluation",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | c2d7c1cdd70d0d18df38f47e2a11d91eb918ad8a | |
train_010926 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | review | advanced | Task: review
Topic: Governance, provenance, and audit logging
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",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 1e82775137d0900af6dbd755db5069a35f2a08ca | |
train_010927 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | self_grade | expert | Task: self_grade
Topic: Mixture-of-Experts (MoE) routing and sparsity
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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"evaluation",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 1fc3e085eb3f1df2a74fc3c4303fa33641a733a6 | |
train_010928 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | advanced | Task: eval
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Python
Context: 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": "Python",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 61861124427c7c7bc46144e74218046c5f68bfa8 | |
train_010929 | 2026-01-01T00:00:00 | Self-grading and automated model critique | explain | expert | Task: explain
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Rust
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | c8e5dca474019039b385e84b1ecf51d873f99b4b | |
train_010930 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | code | advanced | Task: code
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: C#
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"research",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 1b282106e4e37b95e977e8bcd652208b9ad1712c | |
train_010931 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | explain | advanced | Task: explain
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: 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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | d1a2a63853da0441aa8fe09c64944d14ead41d77 | |
train_010932 | 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: 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": [
"performance",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | bee6fc8789f2f2f8a13fc88ff6d5307ca29d5638 | |
train_010933 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "C#",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 20ac7f1820778e8b7877adc65ebeac6dc23222ee | |
train_010934 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | code | advanced | Task: code
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | b1fe56c2acb168f61822506c9362dc0ccac53601 | |
train_010935 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | self_grade | advanced | Task: self_grade
Topic: Latency, cost, throughput optimization
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.
{
"score": 6,
"confidence": 0.6,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 1dc17d23863f84c557acb068df52926e8deb27a8 | |
train_010936 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | failure_analysis | advanced | Task: failure_analysis
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Rust",
"moe_experts": [
"governance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | ccca8721c6f91e3d9cc9d8f55e2bcd36647a61f4 | |
train_010937 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | design | advanced | Task: design
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Java
Context: 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": [
"research",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 36b57e37b5fd8f833f818f1e3148b2476f47b821 | |
train_010938 | 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: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | d9ecb555c83c1c0c6bb8e3cf582c93d7790ea676 | |
train_010939 | 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: 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": [
"performance",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 79f8d0cc59e4f8921a86ae6f5ea1e7838f36a83a | |
train_010940 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | code | advanced | Task: code
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | dd504db6f25e7ccde3cda45339006f0be05eaaa8 | |
train_010941 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | eval | expert | Task: eval
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: expert
Language: 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": [
"security",
"research"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | e5737d83de231b9b38aa8e776300eba5fb16002d | |
train_010942 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | compare | expert | Task: compare
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Python
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"data",
"research"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b50cf639582ae6c2f40ec58730aeaa584f78f098 | |
train_010943 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "SQL",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 10a5262879c1957864999aa9776cd8253b520366 | |
train_010944 | 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: 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": [
"data",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 2821f9423350fc2b1ab92e8c07acf17d9d8ded5b | |
train_010945 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | review | advanced | Task: review
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | a973a132d6c9aa2128537eb9a86ab2afe56d743d | |
train_010946 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | expert | Task: eval
Topic: Governance, provenance, and audit logging
Difficulty: expert
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 68d526e3f63dc4b5963fd494539c21d85c8a3a4e | |
train_010947 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | explain | advanced | Task: explain
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",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 29b9a7b719fe6cb38ff480cbaf4d3742e34e2abd | |
train_010948 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | data_pipeline | expert | Task: data_pipeline
Topic: Failure engineering and resilience testing
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": [
"research",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | c96e0a3e44932fcc1048d213911a8ec2dfe9ab3f | |
train_010949 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | expert | Task: patch_diff
Topic: Latency, cost, throughput optimization
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Python",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 1ecf6fe15387c28713880c9f07713e8ecd922acd | |
train_010950 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | patch_diff | advanced | Task: patch_diff
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: Rust
Context: 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": "Rust",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 0a9c58f07d8a66075d7a758c19900ea91a04b63d | |
train_010951 | 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: TypeScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "TypeScript",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 1ffc0b99889a2cbe808fd25582995e68b5ba2b7c | |
train_010952 | 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: 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": 50,
"audit_required": true
} | b92896c73e30a12c938854efbdd78c2593ee55df | |
train_010953 | 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: Python
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 2731b1cd75a9b80d3f4cac06ce90f99d7616b01e | |
train_010954 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | code | advanced | Task: code
Topic: Model merging, distillation, and continual learning
Difficulty: advanced
Language: 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",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 7acc86b16deb68beb32ff0cb6f03e994dbf7107b | |
train_010955 | 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: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 8f12157e17e3088c272bf8c213bde54ed3452bd1 | |
train_010956 | 2026-01-01T00:00:00 | Model merging, distillation, and continual learning | self_grade | expert | Task: self_grade
Topic: Model merging, distillation, and continual learning
Difficulty: expert
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"governance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | cf03fa92f379712170a3c6c0fa35b5f758b839e1 | |
train_010957 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | compare | expert | Task: compare
Topic: Agentic coding systems (plan→edit→test→reflect)
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": [
"agent",
"research"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 5780bdc642b7d9862487a5af05cb1bfb5212aff1 | |
train_010958 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | eval | advanced | Task: eval
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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": [
"performance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | c3eaf690ccf5a3e3ba7e38b409a344d413e344d3 | |
train_010959 | 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: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 3331b3e749ff02d5f4854810440b954bfd7fcc48 | |
train_010960 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | expert | Task: review
Topic: Self-grading and automated model critique
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": [
"evaluation",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | fbf1ed863608b4bcedc9744c6f48763820c70bae | |
train_010961 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | advanced | Task: eval
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 812a9ec32ccc454101ec0b2525d55d24ee3f3f12 | |
train_010962 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | failure_analysis | expert | Task: failure_analysis
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: 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": [
"security",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | b9c4e3434d69ea1cb2945b03bfba02b92c3b8671 | |
train_010963 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | design | advanced | Task: design
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"agent",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 8ea0d31afd0a7647dbef7423f01cdbf8d3d35a0a | |
train_010964 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | review | expert | Task: review
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Go
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Go",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | c2497300a135e7254c07b68fb3e44a8a5a713fd0 | |
train_010965 | 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": [
"security",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 56fd7d76ca8af1467b1c8f662b5be061e8c794b9 | |
train_010966 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"performance",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | ae8a2b51c331a10627ed35cbe3800f999eb95b14 | |
train_010967 | 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: 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": [
"evaluation",
"security"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 59bd73cf5f39521d3b0540b05c12f6315cd613d9 | |
train_010968 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | expert | Task: patch_diff
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "JavaScript",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 68d3c9ef7a2475932d8a84dd668c37222e5ef986 | |
train_010969 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | code | expert | Task: code
Topic: Dataset curation pipelines and quality attribution
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": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 93be4d3436d479c4cfa43ff40a0611051ecc2b36 | |
train_010970 | 2026-01-01T00:00:00 | Self-grading and automated model critique | design | expert | Task: design
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 9d179aac646a1d9fb5d7698b661a30b64d7c44f6 | |
train_010971 | 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: 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": [
"data",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 4cd76a0f88f9fff26ceb92fe563eabefa29fa109 | |
train_010972 | 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: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | e14f70e8cbed6e9d38767a020929511d1c8e4566 | |
train_010973 | 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: 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": [
"research",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 6cb8b9b840709a47cca0782f87c68c8838e05bfb | |
train_010974 | 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: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Java",
"moe_experts": [
"research",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | a6543cb775159661855a53f8c4f16e4146ad26df | |
train_010975 | 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: 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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"security",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 7015c4242b40852ac745f9071bb188ea887ee141 | |
train_010976 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | patch_diff | expert | Task: patch_diff
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Bash",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 7dc21612b5217842334d2f5629ee5b94ffa6ff1e | |
train_010977 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | patch_diff | expert | Task: patch_diff
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 57352cee8ad977fef6053cde3c8463aeb474412b | |
train_010978 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | advanced | Task: data_pipeline
Topic: Latency, cost, throughput optimization
Difficulty: advanced
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | c8f58d9c1e9a7c91a20cbd02b1cdd217e91f9f17 | |
train_010979 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | code | advanced | Task: code
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Go
Context: 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": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 148def64fa7ca4d45bc2f6e87e3d6c41354ea0dc | |
train_010980 | 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": [
"agent",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 07be1ba0aa8985f84e97e4e6270a06c0623f0364 | |
train_010981 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | design | expert | Task: design
Topic: Multi-agent coordination and role separation
Difficulty: expert
Language: 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": [
"research",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | cf06af8502a953faf36efc9c07f492b5c4aaa19b | |
train_010982 | 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: 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.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 17ce86531359bcd339eb7d4ca7f5fc71a7a46417 | |
train_010983 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | code | expert | Task: code
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: 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": [
"evaluation",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 250a87301e3ceb99f0c9773de6712856d8a26fa5 | |
train_010984 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | data_pipeline | advanced | Task: data_pipeline
Topic: Code-specialized model families and scaling laws
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": [
"performance",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 957f0f161d42f2c28637062b52cefbff440d4c68 | |
train_010985 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | data_pipeline | advanced | Task: data_pipeline
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Java
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | e7fa00aa3cea99a5fdc3d6c37c26fedcab5567c8 | |
train_010986 | 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: Bash
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Bash",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 075aa6ee201149592214955aafa9eb9e780489ee | |
train_010987 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 33a032b1c2abf5c6527266460cb36ed66b3fbaaf | |
train_010988 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"evaluation",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 22ad3c27fdf0f6909871480016b060bb4d336231 | |
train_010989 | 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: 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": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "C#",
"moe_experts": [
"governance",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 1cad1f63398a073ac5ae1d2117faea24c58bdaa8 | |
train_010990 | 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: Rust
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"security",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 3c418f65609641d9b2811eb17ae789c4f5d04728 | |
train_010991 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | patch_diff | advanced | Task: patch_diff
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: SQL
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "SQL",
"moe_experts": [
"data",
"security"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 79957774504228ac2de51be58f58cd864ca42aee | |
train_010992 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | review | advanced | Task: review
Topic: Tool calling protocols and sandboxed execution
Difficulty: advanced
Language: Bash
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"data",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 4f02ca94483552dea5e67b30ff5bbc1b7a0a0bda | |
train_010993 | 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: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Python",
"moe_experts": [
"data",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | db005a866cda5fbb8af29e8d65979f29ee19c9a7 | |
train_010994 | 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: 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",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | f6b224e5e50eda76162f2f9d66af3778a29305e2 | |
train_010995 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | agent_loop | advanced | Task: agent_loop
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: Rust
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"agent",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 9c5d944830f2517584e02815b961b6086525a4bd | |
train_010996 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | design | advanced | Task: design
Topic: Governance, provenance, and audit logging
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",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 1c0be31b09a5d77e88f29d286ff7e900268ec7df | |
train_010997 | 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: Python
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"coding",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | be6dce8fa9d465c97c4a7bb76255c00868bbcb6d | |
train_010998 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | self_grade | advanced | Task: self_grade
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: SQL
Context: 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": "SQL",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | b03fe971b2c46a50b219d7ae447c3c6cfb42533e | |
train_010999 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | agent_loop | expert | Task: agent_loop
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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": [
"agent",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 822b51e748e41016ca12f05d9e182553579ceed5 |
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