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#llm
16 posts in the last 7 days
Custom Git-Based LLM Evaluation Decks
Developers are rejecting generic public benchmarks and launch hype for newly released open-source and low-cost coding LLMs. Instead, they are building reproducible, private evaluation harnesses using their own repositories and Git histories to test models against real-world legacy code before adoption.
Key Areas of Focus:
- How can I quickly test a new LLM against my specific codebase and flaky bugs?
- What canary tests or short evals can accurately predict migration script failures and retry rates?
- Why do public leaderboards and SWE-bench scores fail to reflect real-world developer productivity?
Active 24 minutes ago
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