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Developer launches Wn tool that predicts files a bug touches

Original: Show HN: Wn – find the files a bug touches, trained on 1.1M real fixes

Developer Andrey Lukin has released Wn, an open-source tool that predicts which files in a codebase a bug report likely touches. The model was trained on 1.1 million real bug fixes, letting engineers go from a bug description straight to the most relevant source files. The release was shared with the Hacker News community, where feedback is starting to come in.

Why now: New developer tools that use machine learning on large real-world datasets reliably draw attention from programmers weighing practical usefulness.

WnAndrey LukinGitHubHacker News

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Evidence

• Show HN: Wn – find the files a bug touches, trained on 1.1M real fixes · alukin · 6

API: https://socialmediatrends-api.osmike.com/v1/trends/490513