AI-Assisted CI Migration Left Six Hidden Bugs That Took Hours to Diagnose

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A developer used an AI agent to migrate a CI pipeline from GitHub Actions to Argo Workflows and from GitHub to Codeberg, rewriting the logic without accounting for the changed runtime environment. Because no one validated the pipeline end-to-end after migration, six latent bugs remained undetected inside the new cluster-based setup. When the deploy pipeline began hanging at the Ansible gather_facts stage, the developer spent hours suspecting network issues including MTU, Tailscale routing, firewall rules, and CNI asymmetric routing. All those tests were misleading because the real cause was a missing trailing newline in an SSH key, which caused libcrypto to silently fail and made SSH behave erratically. The fix was straightforward once properly diagnosed: switching to private IPs instead of Tailscale IPs, but the incident highlighted the risks of delegating migrations to AI without end-to-end validation.

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