no-mistakes
An open-source AI coding workflow that runs review, tests, and lint checks before git push, helping developers and AI-assisted teams produce safer commits and PRs.
Tool overview
Verdict: no-mistakes is worth trying as a pre-push quality gate for AI-assisted development, but it should not be mistaken for a full IDE, a general-purpose coding copilot, or a hosted CI platform. The supplied evidence shows clear attention in the AI coding community, yet it proves popularity more strongly than effectiveness: the sample is dominated by X recommendations, reposts, and list-like mentions, with one more detailed Zhihu article. There are not many independent hands-on tests, long-term reports, or comparisons, so reliability and productivity claims should remain cautious.
In practice, it appears to add an automated verification layer before git push, linking code review, tests, documentation, linting, and follow-up steps such as pushing, opening a PR, and CI. The Zhihu article provides the clearest behavioral description: the workflow advances only when each step passes; safe mechanical fixes may be applied automatically, while changes involving code intent are escalated for the user to approve, fix, or skip. Nothing is pushed to the configured remote until the checks are green.