GitAIAutonomous SystemsGit HooksSoftware Development
Git Hooks for AI Workflows: Auto-Commit vs Manual Review in Autonomous Systems
10 min read · 1,996 wordsBy Orandi Felix
For this to work, make sure: - The working directory is clean before running experiments - You've staged your config changes *before* running `train.py` - You're not accidentally committing gigantic model binaries
The numbers come from: - Git history analysis (commits, files changed) - CI/CD pipeline logs (merge request durations) - Production incident reports (errors from bad configs) - Anonymous team survey All raw data available in project repository's `/metrics` directory.
Lesson learned: 1. Don't modify files in hooks—*validate* only 2. Hooks should fail loudly and visibly 3. Use CI for formatting, not git hooks 4. Every hook should have an escape valve (`--no-verify`)