| If coding agents are the new entry point to your library, how sure are you that they’re using it well? I asked this question to about 50 library maintainers and dev tool builders, and the majority didn't really know. Existing code generation benchmarks focus mainly on self-contained code snippets and compare models not agents. Almost none focus on library-specific generation. So we built a simple app to test how well coding agents interact with libraries:
• Takes your library’s docs
• Automatically extracts usage examples
• Tasks AI agents (like Claude Code) with generating those examples from scratch
• Logs mistakes and analyzes performance We’re testing libraries now, but it’s early days. If you're interested: Input your library, see what breaks, spot patterns, and share the results below. We plan to expand to more coding agents, more library-specific tasks, and new metrics. Let us know what we should prioritize next. |
> I asked this question to about 50 library maintainers and dev tool builders, and the majority didn't really know.
Why should they even bother to answer such a loaded and hypothetical question?