Claude Code

If your CI keeps failing and engineers keep babysitting logs, you’re paying an invisible velocity tax. A production-grade AI self-healing pipeline is not “let the agent edit anything”. It’s a controlled loop: attribution, patching, approval, rollback. This post gives you a deployable baseline: Claude Code proposes a minimal fix patch, GitHub Actions enforces risk gates and regression checks, and humans only approve at high-impact checkpoints. ...

If you still use one model for everything, you usually pay in one of three ways: higher cost, slower delivery, or more rework. A better setup is role-based collaboration: Claude Code for planning and quality gates, Codex for fast implementation and batch edits. ...