I’ve been trying to automate semantic versioning in my workflows, but I’m hitting a wall. Recently, I discovered that tools like Latenode’s AI Copilot can generate workflows that handle version bumps. Has anyone used this feature to automate updates based on commit messages or change notes? Specifically, I’m looking for insights on how to let the AI decide between major, minor, or patch updates and then create tags automatically.
I’ve tried similar automation with Git workflows. The key is to set clear rules in the commit messages so the AI can accurately determine the version bump. For instance, using keywords like ‘fix’ for patches or ‘feat’ for minors helps a lot.
One thing that might help is ensuring your commit messages are standardized. This way, the AI can easily identify what kind of change was made and update the version accordingly. It’s also important to test the workflow with a few sample commits to ensure it works as expected.
Using an AI-driven workflow for versioning can save a lot of time. Just make sure to review the automated changes periodically to catch any errors. It’s also good practice to have a fallback for unexpected scenarios.
ai copilot is defintly a game changer for automating semver. check how it handles commit hooks