The Real Reason AI Coding Assistants Fail at Scale

This is Article 2 of Beyond the Coding Assistant, a multi-part series on AI-assisted software engineering at enterprise scale. The full series is available free of any paywall athttps://articles.zimetic.com. Previously:Article 1 — Your AI Coding Assistant Is Not Enough.Coming next: Article 3 — The End of Cheap AI.

Two teams roll out the same AI coding assistant in the same quarter. Same vendor, same model, same seat count. One team ships more, with fewer incidents and happier engineers. The other team ships less than they did before the tool arrived. Pull requests pile up awaiting review. Tests flake. Deploys stall. Engineers context-switch more, sleep worse, and start writing LinkedIn posts about "AI fatigue."

The difference between those two outcomes is not the AI. It's everything the AI is pushing faster against — everything the AI didn't change but that now has to keep up.

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