id stringlengths 12 12 | created timestamp[s]date 2026-01-01 00:00:00 2026-01-01 00:00:00 | topic stringclasses 15
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values | difficulty stringclasses 2
values | instruction stringlengths 176 230 | input stringclasses 1
value | output stringclasses 11
values | metadata dict | hash stringlengths 40 40 |
|---|---|---|---|---|---|---|---|---|---|
train_016100 | 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: Java
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 25d90f6ba63dabf6eb44d55e836ef6281e09f1c4 | |
train_016101 | 2026-01-01T00:00:00 | Self-grading and automated model critique | self_grade | advanced | Task: self_grade
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: TypeScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "TypeScript",
"moe_experts": [
"security",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | b7a086caf4c230ff7a9fd20b63f0b7300481c887 | |
train_016102 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | data_pipeline | advanced | Task: data_pipeline
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: JavaScript
Context: 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": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 6454c74b02acd946388ce583976c51a3421fdc80 | |
train_016103 | 2026-01-01T00:00:00 | Self-grading and automated model critique | agent_loop | expert | Task: agent_loop
Topic: Self-grading and automated model critique
Difficulty: expert
Language: 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": [
"performance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | cf3743f546d634469b21777013e8a292d2f96eb4 | |
train_016104 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | failure_analysis | expert | Task: failure_analysis
Topic: Failure engineering and resilience testing
Difficulty: expert
Language: 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": [
"evaluation",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 99df876bd2808d5301ea4ed5f573b55491195f25 | |
train_016105 | 2026-01-01T00:00:00 | Tool calling protocols and sandboxed execution | patch_diff | expert | Task: patch_diff
Topic: Tool calling protocols and sandboxed execution
Difficulty: expert
Language: 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",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 9de7345bb3d5f4b154eec762a0f4f9bc6b4a3d2b | |
train_016106 | 2026-01-01T00:00:00 | Self-grading and automated model critique | design | advanced | Task: design
Topic: Self-grading and automated model critique
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"data",
"performance"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 02e87b48342f054281fb46438310557c093e0206 | |
train_016107 | 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: 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": [
"agent",
"data"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 3743d4d74c2633542bb6727831d6f49c8ee47e0f | |
train_016108 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | expert | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | df17eb44f22e47b99e0e2c806d83d0cca14db9c6 | |
train_016109 | 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: 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": [
"security",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 1398118532339cda2938099d9d28439dd410f8a8 | |
train_016110 | 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: 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.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 2f7e6feb3ab4fc4ba32bd3bb53f8a2e9a71ebba0 | |
train_016111 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | tool_trace | advanced | Task: tool_trace
Topic: Mixture-of-Experts (MoE) routing and sparsity
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "TypeScript",
"moe_experts": [
"data",
"research"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | a566fb8a39d1f1624818fd322ba419dfdb70689b | |
train_016112 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | eval | advanced | Task: eval
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: Bash
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"data",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | c3c6760d31ed728b5302731c62766946ecd831f5 | |
train_016113 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | advanced | Task: data_pipeline
Topic: Latency, cost, throughput optimization
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",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 3efe13d0d280f60a3721dd16ba982e21a4b124fc | |
train_016114 | 2026-01-01T00:00:00 | Self-grading and automated model critique | data_pipeline | expert | Task: data_pipeline
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Rust
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 106be804f4f77cdd9a41bae83d8908183cfd35e3 | |
train_016115 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | code | expert | Task: code
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: 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": [
"coding",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 1e9ef6a8ffcbfd89656461353886b14a316edf4a | |
train_016116 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | data_pipeline | expert | Task: data_pipeline
Topic: Latency, cost, throughput optimization
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",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 3dc0cdbe9491b6d2d0bc727b0d98ffe57fae6cfb | |
train_016117 | 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: 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": [
"data",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | a38b7aeace3070e0797f5c27ddfcc67be1cfc0f6 | |
train_016118 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | patch_diff | advanced | Task: patch_diff
Topic: Multi-agent coordination and role separation
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "TypeScript",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | af800bcc9d57cefc93c725f95d44571b741a9105 | |
train_016119 | 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: 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": [
"coding",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 2baa590ccd02d557a27d4708308bb21bca0dd277 | |
train_016120 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | eval | advanced | Task: eval
Topic: Failure engineering and resilience testing
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": [
"research",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 4d182bebeeb883bc8852c9a4d11a8d1bc974252b | |
train_016121 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | review | advanced | Task: review
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: 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",
"research"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 4bdfef78a48acbed494bcb74ded716bdf7bdd9cb | |
train_016122 | 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: 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": [
"governance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 4a4739615342983ec2878396b25cbaf14a4ad858 | |
train_016123 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | code | advanced | Task: code
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": [
"security",
"coding"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 0413f19ee9e35265b697c7d2e6e622a5623db24e | |
train_016124 | 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: 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",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 20dbe6cc042b49a466a7eaf0fbde5f0256d59f26 | |
train_016125 | 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: 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": [
"governance",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 8c8417891056429d3e05b7932880289c72e2012c | |
train_016126 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | eval | advanced | Task: eval
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 284629f3287b9a00f434a288a58782b81ce4d01c | |
train_016127 | 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: 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",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | e40a9b3f85dd63be6d687035c9727e82b369474e | |
train_016128 | 2026-01-01T00:00:00 | Self-grading and automated model critique | eval | expert | Task: eval
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Java
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"research",
"data"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | ee1b0fe37730cc0d34d9475b8472eb5305464b72 | |
train_016129 | 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: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Rust",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | d42e103fd606a8408d4730580023dbc18080cdbe | |
train_016130 | 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: 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.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Go",
"moe_experts": [
"data",
"security"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 362ae9cb9c91056ed8c6c31d2bbe8252a0030802 | |
train_016131 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | tool_trace | expert | Task: tool_trace
Topic: Latency, cost, throughput optimization
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Go",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 0ad8eac2eb0c73913662f9a039bd6c3221a8b37b | |
train_016132 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | explain | expert | Task: explain
Topic: Failure engineering and resilience testing
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | d6adc26e5c03dfa6e9bdce5be380d462b1e00c19 | |
train_016133 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | expert | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: 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": [
"research",
"data"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 51a2a073a18a3685dc1927d12523140108282cdc | |
train_016134 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | compare | advanced | Task: compare
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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": [
"security",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 943e954340a048334c7c5ad96d37c201f8093ee0 | |
train_016135 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | review | advanced | Task: review
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: 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": [
"evaluation",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | c02697e8aec2a71937d2f383f4b7bd97997479de | |
train_016136 | 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: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Bash",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 10e9c08d357287a412cca0acfc8450d0813cf77a | |
train_016137 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | expert | Task: failure_analysis
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"research",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 890018430f7a18fc8a84cbb72ced9f4ca2a8f612 | |
train_016138 | 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: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Java",
"moe_experts": [
"coding",
"performance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 4c9897e16869e8936d548258cce49be9df65ed5d | |
train_016139 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | data_pipeline | expert | Task: data_pipeline
Topic: Code-specialized model families and scaling laws
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": [
"governance",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 3582ac10866c50b1ea8fb5c7452c1f2eb3f7fbc1 | |
train_016140 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | patch_diff | advanced | Task: patch_diff
Topic: Latency, cost, throughput optimization
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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Java",
"moe_experts": [
"evaluation",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 6457ae641b66ed2bca0fc03321b007a51e59797f | |
train_016141 | 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: 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": [
"data",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 7aaf4e8f3ba23d8c46d0bb23414fe7f9711a295f | |
train_016142 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | review | expert | Task: review
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: JavaScript
Context: 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": [
"agent",
"data"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 576c73596febc848fc6e79f0d224a1200c5c7553 | |
train_016143 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | tool_trace | advanced | Task: tool_trace
Topic: Reasoning-first coding models and tunable deliberation
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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "TypeScript",
"moe_experts": [
"security",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 4712de99f91a508e01b6af995cffc10b1a34240e | |
train_016144 | 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: 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": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | cd00b9a27e67455f45f5ba813678807cd1f7b214 | |
train_016145 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | self_grade | advanced | Task: self_grade
Topic: Mixture-of-Experts (MoE) routing and sparsity
Difficulty: advanced
Language: Bash
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 8,
"confidence": 0.8,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Bash",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | b2c9519b4b6268d5c7b801315e12a6415e175041 | |
train_016146 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | code | advanced | Task: code
Topic: Code-specialized model families and scaling laws
Difficulty: advanced
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | e87991cf3a4270ccf16f5894b63bdd91f05239d6 | |
train_016147 | 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: JavaScript
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "JavaScript",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 3a909aeabf8ea5cc4ee73223ae2fe222e57859df | |
train_016148 | 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: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"security",
"data"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 5b91297cd84ec7ecd71456ace2c326785f8f8f42 | |
train_016149 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | explain | expert | Task: explain
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: C#
Context: 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": [
"security",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 052e73a210565c087ca374df4b4dc0bd72a2713b | |
train_016150 | 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: 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": "Java",
"moe_experts": [
"agent",
"data"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 795db8008bb6ea0adf2d235281680d81b6f62d5f | |
train_016151 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | review | advanced | Task: review
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: 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",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | c0f9fb880b04f71a41bc1601690ed479cd25fa7e | |
train_016152 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | eval | advanced | Task: eval
Topic: Dataset curation pipelines and quality attribution
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": [
"research",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | e7120e84ee797756972c1057a33b67940b2cc9f3 | |
train_016153 | 2026-01-01T00:00:00 | Self-grading and automated model critique | review | advanced | Task: review
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Rust",
"moe_experts": [
"evaluation",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | c1f9d983a94e138483aba2f4c4b86c88cbd0de5e | |
train_016154 | 2026-01-01T00:00:00 | Code-specialized model families and scaling laws | agent_loop | expert | Task: agent_loop
Topic: Code-specialized model families and scaling laws
Difficulty: expert
Language: Python
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Python",
"moe_experts": [
"agent",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | a252ae77255717dc462c43eea11c93c5f36a8483 | |
train_016155 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | eval | advanced | Task: eval
Topic: Dataset curation pipelines and quality attribution
Difficulty: advanced
Language: JavaScript
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "JavaScript",
"moe_experts": [
"performance",
"data"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 52226d6340f8793a524797bcfc2b1e9521cbb0f6 | |
train_016156 | 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: Java
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Java",
"moe_experts": [
"data",
"research"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | e50b372d2b3d03ce67e0de51da50f25a1e514041 | |
train_016157 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | tool_trace | expert | Task: tool_trace
Topic: Reasoning-first coding models and tunable deliberation
Difficulty: expert
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"research",
"governance"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 40714721e02432ab6a7e601ad6e9641528a2b27e | |
train_016158 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | tool_trace | advanced | Task: tool_trace
Topic: Governance, provenance, and audit logging
Difficulty: advanced
Language: Java
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Java",
"moe_experts": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | ca0a34f073988e3657685bc503fa5e7d649e2157 | |
train_016159 | 2026-01-01T00:00:00 | Governance, provenance, and audit logging | eval | expert | Task: eval
Topic: Governance, provenance, and audit logging
Difficulty: expert
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 5080f17258dd8e86f7abc3273ea5bc94101d1390 | |
train_016160 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | review | expert | Task: review
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": [
"coding",
"performance"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 05d0d1d9dfa8d9d427de25836719196572c1d1c0 | |
train_016161 | 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: 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": [
"evaluation",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | dddd9657f373cb385c0b43c04fb3d1ec50605cf2 | |
train_016162 | 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: 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": [
"coding",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 5e0b984f8ccc886feb82db8c1137057137e27074 | |
train_016163 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | tool_trace | advanced | Task: tool_trace
Topic: Mixture-of-Experts (MoE) routing and sparsity
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": [
"coding",
"data"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | b0294da018c0e87c3fecb0d48e00beacacbd59b5 | |
train_016164 | 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: 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": [
"coding",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | a61ac90dfcbb94a421fb19253f4f39f23ec6c29b | |
train_016165 | 2026-01-01T00:00:00 | Failure engineering and resilience testing | explain | advanced | Task: explain
Topic: Failure engineering and resilience testing
Difficulty: advanced
Language: C#
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"data",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 5059f01b61f6e830adfb5212d9abe7ebc6f66140 | |
train_016166 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | review | advanced | Task: review
Topic: Mixture-of-Experts (MoE) routing and sparsity
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",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 164639556e0ef00b032ff763cd553395896fb91e | |
train_016167 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | eval | expert | Task: eval
Topic: Reasoning-first coding models and tunable deliberation
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Rust",
"moe_experts": [
"evaluation",
"security"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 5847ac4d08a03e24fc826788d98c81c66d2b8dd1 | |
train_016168 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | self_grade | expert | Task: self_grade
Topic: Extended context, memory, and repo graphs
Difficulty: expert
Language: Python
Context: 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": "Python",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 7f4607295d8b7b6b8a7df96b919178a651e128b6 | |
train_016169 | 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: 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": [
"evaluation",
"security"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | daafa227f93f8888c4ddcda4927706e42a56ab73 | |
train_016170 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | compare | expert | Task: compare
Topic: Dataset curation pipelines and quality attribution
Difficulty: expert
Language: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "SQL",
"moe_experts": [
"governance",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 4f23aa62fe6420adddae9f95c8531d68a738e0c2 | |
train_016171 | 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: 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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | dc5d9d9a0e89a7f3e7891928275ef1d3cd212502 | |
train_016172 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | data_pipeline | expert | Task: data_pipeline
Topic: Dataset curation pipelines and quality attribution
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": [
"performance",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | 585458d4d43d5a6bb7f6fe7818335e89353eb8bb | |
train_016173 | 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: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "TypeScript",
"moe_experts": [
"coding",
"research"
],
"cost_budget": 5,
"latency_ms_target": 200,
"audit_required": true
} | 88c82611d624a22ed47a5b94a810c1be61538f34 | |
train_016174 | 2026-01-01T00:00:00 | Self-grading and automated model critique | data_pipeline | expert | Task: data_pipeline
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.
Expert guidance with risks, metrics, and governance controls. | {
"language": "Bash",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 4a6a0ef34ca24250df857e5ddfc632826a3c02ce | |
train_016175 | 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: 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": [
"security",
"evaluation"
],
"cost_budget": 4,
"latency_ms_target": 200,
"audit_required": true
} | 0a9d6cb8cc119c91b1aeaaee64388023672c8fe4 | |
train_016176 | 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: SQL
Context: Latency-critical production API
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "SQL",
"moe_experts": [
"research",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | eca6d312da145f87f35062d2c14292b9fa1f967c | |
train_016177 | 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: 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": [
"evaluation",
"agent"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 5f8dbe09a348cb772530d2f940ccfbc2107a2c9b | |
train_016178 | 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: 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",
"evaluation"
],
"cost_budget": 2,
"latency_ms_target": 200,
"audit_required": true
} | 55fe480db447314441baa9d4db5e4fd05f9e931d | |
train_016179 | 2026-01-01T00:00:00 | Self-grading and automated model critique | patch_diff | advanced | Task: patch_diff
Topic: Self-grading and automated model critique
Difficulty: advanced
Language: SQL
Context: 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": "SQL",
"moe_experts": [
"research",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 766bfcf46a68307ce9258e544dbbafeff7b58418 | |
train_016180 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | eval | expert | Task: eval
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: expert
Language: 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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "TypeScript",
"moe_experts": [
"governance",
"data"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 09df9aa2aafd1a3a25113ef21b13601287011612 | |
train_016181 | 2026-01-01T00:00:00 | Secure code generation, red-teaming, and policy gates | agent_loop | advanced | Task: agent_loop
Topic: Secure code generation, red-teaming, and policy gates
Difficulty: advanced
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"governance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | 26651d3078515750d2155b3deab076bff65f330f | |
train_016182 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | eval | expert | Task: eval
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: Bash
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Bash",
"moe_experts": [
"agent",
"security"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 643ed2b42fb77627f75a95f7e529720542093e3b | |
train_016183 | 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: 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": [
"evaluation",
"agent"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | d9edc7d2cb3ac42ba38020647b56bac401868c5b | |
train_016184 | 2026-01-01T00:00:00 | Mixture-of-Experts (MoE) routing and sparsity | self_grade | advanced | Task: self_grade
Topic: Mixture-of-Experts (MoE) routing and sparsity
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.
{
"score": 10,
"confidence": 1.0,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Python",
"moe_experts": [
"security",
"research"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | d0737dec3c477cd0c2fce6b3a619770a9717fa32 | |
train_016185 | 2026-01-01T00:00:00 | Multi-agent coordination and role separation | agent_loop | advanced | Task: agent_loop
Topic: Multi-agent coordination and role separation
Difficulty: advanced
Language: 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": [
"research",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 67641524e5f43678e8d32a3a13802f5969a22bdb | |
train_016186 | 2026-01-01T00:00:00 | Agentic coding systems (plan→edit→test→reflect) | patch_diff | advanced | Task: patch_diff
Topic: Agentic coding systems (plan→edit→test→reflect)
Difficulty: advanced
Language: 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.
Patch:
```diff
- result = a / b
+ if b == 0:
+ raise ValueError('division by zero')
+ result = a / b
``` | {
"language": "Rust",
"moe_experts": [
"security",
"performance"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 31e5b94748d226097b72f9be79114c43829dbb44 | |
train_016187 | 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: SQL
Context: Large monorepo with flaky tests and strict CI
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "SQL",
"moe_experts": [
"agent",
"coding"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | c770457b47afa0900e5e78fe879932af4760a47d | |
train_016188 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | review | expert | Task: review
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: expert
Language: C#
Context: Research benchmark validation environment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Expert guidance with risks, metrics, and governance controls. | {
"language": "C#",
"moe_experts": [
"agent",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 200,
"audit_required": true
} | f5ba595ba17a588d39017f76f7619e01ca760f75 | |
train_016189 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | eval | advanced | Task: eval
Topic: Reasoning-first coding models and tunable deliberation
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": [
"governance",
"coding"
],
"cost_budget": 5,
"latency_ms_target": 50,
"audit_required": true
} | 5773e1f22d2719f6ce9e61f8808ddac24ac51847 | |
train_016190 | 2026-01-01T00:00:00 | Reasoning-first coding models and tunable deliberation | eval | expert | Task: eval
Topic: Reasoning-first coding models and tunable deliberation
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.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "Java",
"moe_experts": [
"data",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 50,
"audit_required": true
} | 3a2c6268ff44f260ea36ed9ce8057849dda48f6d | |
train_016191 | 2026-01-01T00:00:00 | Extended context, memory, and repo graphs | self_grade | advanced | Task: self_grade
Topic: Extended context, memory, and repo graphs
Difficulty: advanced
Language: Rust
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
{
"score": 7,
"confidence": 0.7,
"notes": "Passed tests; minimal diff; no security flags."
} | {
"language": "Rust",
"moe_experts": [
"security",
"coding"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | b4fdb2d580cb270617cf6780fc7756f28a500430 | |
train_016192 | 2026-01-01T00:00:00 | Latency, cost, throughput optimization | failure_analysis | expert | Task: failure_analysis
Topic: Latency, cost, throughput optimization
Difficulty: expert
Language: TypeScript
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "TypeScript",
"moe_experts": [
"data",
"security"
],
"cost_budget": 2,
"latency_ms_target": 100,
"audit_required": true
} | 7037a14ef84b31eb412ebf119c039d35e6df1a93 | |
train_016193 | 2026-01-01T00:00:00 | SWE-bench real-repo evaluation and leakage control | eval | advanced | Task: eval
Topic: SWE-bench real-repo evaluation and leakage control
Difficulty: advanced
Language: C#
Context: Offline air-gapped deployment
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Metrics:
- pass@k
- time-to-green
- cost-per-fix
- regression rate
| {
"language": "C#",
"moe_experts": [
"research",
"security"
],
"cost_budget": 2,
"latency_ms_target": 50,
"audit_required": true
} | 56bf93bea1b653227f19e98975dda3e8914054c6 | |
train_016194 | 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: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"performance",
"governance"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 919c939b953ba128b662b608ede6babb5014bfe5 | |
train_016195 | 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: 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",
"agent"
],
"cost_budget": 4,
"latency_ms_target": 50,
"audit_required": true
} | 9b89361a0946fc65d93f0e23fc791589f918ec16 | |
train_016196 | 2026-01-01T00:00:00 | Self-grading and automated model critique | failure_analysis | expert | Task: failure_analysis
Topic: Self-grading and automated model critique
Difficulty: expert
Language: Go
Context: Regulated enterprise with audit requirements
Produce frontier-grade, production-valid output. | Facts:
- Modern AI coding success is measured by test pass rates, iteration cost, and reliability.
- Agentic and multi-agent systems outperform single-pass generation.
Failure: regression detected
Cause: missing edge case
Fix: add guard + test
| {
"language": "Go",
"moe_experts": [
"performance",
"evaluation"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | 779b38eada577d624574e63b566676219ea0e932 | |
train_016197 | 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: 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.
[
{
"tool": "repo_checkout",
"args": {
"commit": "abc123"
}
},
{
"tool": "run_tests",
"args": {
"suite": "unit"
... | {
"language": "Python",
"moe_experts": [
"coding",
"evaluation"
],
"cost_budget": 5,
"latency_ms_target": 100,
"audit_required": true
} | 36dee19a2520052f5e361105d38159379bf67df9 | |
train_016198 | 2026-01-01T00:00:00 | Dataset curation pipelines and quality attribution | review | advanced | Task: review
Topic: Dataset curation pipelines and quality attribution
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": [
"performance",
"research"
],
"cost_budget": 4,
"latency_ms_target": 100,
"audit_required": true
} | e9e477faf1712149c7e8b8ee01018130db0e74cf | |
train_016199 | 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: 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": [
"agent",
"data"
],
"cost_budget": 3,
"latency_ms_target": 100,
"audit_required": true
} | c824d294b4955bc49b4c3f0bfcb8e5661c473668 |
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