EvalsforAgentsInterop jozef-javorsky-dodo · COMPLETED
Redefine agentic evaluation in enterprise AI. By simulating realistic scenarios, these evals enables rigorous, multi-dimensional assessment of LLM-powered productivity agents.
github.com/jozef-javorsky-dodo/EvalsforAgentsInterop · ★ 1 · Forks 0 · Size 487 KB
SUMMARY
Technologies 19
Scored 19
Observed 19
Practices 6
Evidence 19
Skips 0
COVERAGE
Analyzed 146 files · 10 commits · 0 API calls
TECHNOLOGIES & DEPTH
TypeScript LANGUAGE Depth 70
84 files · PRODUCTION
PowerShell LANGUAGE Depth 70
1 files · PRODUCTION
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
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JavaScript LANGUAGE Depth 70
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JSON LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
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YAML LANGUAGE Depth 70
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Python LANGUAGE Depth 70
12 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
ESLint QUALITY Depth 69
2 files · CONFIGURATION
FastAPI FRAMEWORK Depth 70
4 files · PRODUCTION
Pydantic LIBRARY Depth 66
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React FRAMEWORK Depth 74
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React Router LIBRARY Depth 74
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Starlette FRAMEWORK Depth 58
1 files · PRODUCTION
Uvicorn LIBRARY Depth 62
2 files · PRODUCTION
Vite BUILD_TOOL Depth 47
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-11-18
Last commit 2025-12-05
Active months 2
Commits 10