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A developer shares a first-hand account of delegating roughly 40% of a 60k-line Node/TypeScript/React production codebase to AI tools over three months. AI excelled at boilerplate, repetitive CRUD work, refactoring scaffolding, and expanding test coverage. Key failures included confidently wrong code (silent async errors, null assumptions, query inefficiencies), architectural drift from inconsistent patterns, and unnecessary overengineering. Development speed improved 30–40% for standard features and test coverage rose 18%, but code review intensity and maintaining architectural consistency became harder. The core takeaway: AI amplifies existing engineering judgment—strong fundamentals become a multiplier, weak ones accelerate hidden technical debt.

I Let AI Rewrite 40% of My Codebase. Here’s What Actually Happened.

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<p>perform deep agentic revalidation of our plan</p>


<p>Great article I can relate with. This quote is worth exposing: “It is leverage. And leverage amplifies both strength and weakness.”</p>
