Over the past year, the phrase “I wrote it with AI” has gone from “worth mentioning” to “weird if you didn’t” in pull request descriptions. Anthropic internally merged a single PR of 22,000 lines — largely produced by Claude, landing in their production reinforcement-learning codebase. When that story spread, most engineers didn’t react with awe; they reacted with anxiety: if they can pull that off, what’s stopping the wave of “PMs opening Claude Code and writing production code” from hitting our team?
You can’t stop it. But you can manage it. This post is the SDLC guideline I wrote for my own team after working through Erik Schluntz’s talk Vibe coding in prod | Code w/ Claude (Erik is a coding-agent researcher at Anthropic and co-author of Building Effective Agents). The whole thesis is one sentence: enjoy the AI speedup without sacrificing code quality, maintainability, system reliability, or security.
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