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#llm
15 posts in the last 7 days
Local LLM Evaluation & Regression Testing
Developers are moving away from generic public leaderboards and subjective 'vibes-based' testing to build custom, reproducible evaluation harnesses for AI coding models. These suites test models directly against developers' unique legacy codebases and specific workflows to uncover hidden failure modes.
Key Areas of Focus:
- How can I build a reproducible evaluation harness for my own codebase?
- What specific failure modes break first when swapping between local and hosted coding models?
- How do I design a personal regression test suite for evaluating new open-weight LLMs?
Active about 5 hours ago
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