Show HN: Driftcheck – Pre-push hook that catches doc/code drift with LLMs (github.com)

Driftcheck, a newly announced pre-push hook tool, leverages large language models (LLMs) to automatically detect documentation drift in software projects. By analyzing code changes, Driftcheck identifies related documentation and ensures consistency before allowing a git push. It integrates seamlessly with Git, utilizing targeted queries to quickly search relevant documentation across codebases, and features an interactive terminal-based user interface (TUI) for resolving issues. This tool is significant for the AI/ML community as it enhances the developer workflow by minimizing discrepancies between code and documentation, ultimately improving code quality and maintainability. Driftcheck operates conservatively, only flagging factual inconsistencies while ignoring stylistic issues, which helps reduce false positives. Furthermore, it is flexible, functioning with any OpenAI-compatible LLM backend and is designed to be CI-friendly, making it a valuable addition for software teams looking to streamline their documentation processes and uphold best practices in code management.