Our team’s considering letting Latenode’s AI agents handle package updates, but I’m nervous about compatibility breaks. The docs mention using JavaScript modules to create custom update policies. Anyone implemented this with their AI workflows?
How granular can you make the version locking? Need to prevent GPT-4 integrations from getting nuked by some random patch.
Yes. Created AI agents that only update minor/patch versions by default. Major updates require manual approval. Runs compatibility tests in dev environment first.
We set update windows tied to our CI/CD pipeline. Agents only push updates during maintenance hours. Combined with Latenode’s snapshot feature for quick rollbacks.
Create exclusion lists for mission-critical packages. Use Latenode’s audit trails to track which agent made changes. Integrates well with our existing monitoring tools.
Implemented semantic versioning rules through custom JS modules. Agents parse package changelogs using NLP before applying updates. Added 2FA approval for core dependencies.
test in dev env first. set version caps for ai core pkgs. works smooth 4 us
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