AI coding agents have revolutionized how we write software. They can implement features, fix bugs, and review code at incredible speed. But there's a catch: AI agents default to the shortest path , which often means skipping specs, tests, security reviews, and the practices that make software reliable. The solution? Production-grade engineering skills for AI coding agents —structured workflows that enforce the same discipline senior engineers bring to production code. The Problem: AI Agents Need Guardrails When you give an AI agent a vague prompt like "build a dashboard," it will produce something that looks functional. But will it be: ✅ Well-specified with clear success criteria? ✅ Tested with comprehensive coverage? ✅ Secure against common vulnerabilities? ✅ Performant and maintainable?…