Show HN: Self-bench – build SWE-bench style evals from private repos
A new open-source tool called Self-Bench allows developers to create custom benchmarks for AI coding assistants using their own private code repositories. This approach aims to provide more relevant and trustworthy evaluations than public datasets, focusing on real-world code scenarios.
Key takeaways
- Create AI coding assistant benchmarks from your private code.
- Evaluate AI performance on your actual work tasks.
- Gain trustworthy insights into AI coding agent effectiveness.
- Focus on real-world code scenarios, not public datasets.
Why it matters
This tool lets businesses and individual developers test AI coding assistants against their specific projects, ensuring the AI's capabilities align with their unique coding practices and environments. It moves beyond generic tests to offer practical performance insights for tool selection.
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