You Shipped It Fast. But Did You Ship It Right?
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AI coding tools accelerate code production but don't increase a codebase's capacity to safely absorb changes. The gap creates a pattern of production incidents from invisible assumptions baked into AI-generated code — boundary, concurrency, domain, and security assumptions that pass review but fail in production. The CATS framework (Contracts, Automated Verification, Telemetry, Simplification) is proposed as a set of guardrails to let teams ship fast without accumulating fragility. Contracts make API boundaries explicit, automated tests enforce domain invariants, telemetry catches drift before customers do, and continuous simplification reduces coupling. A two-week sprint plan is provided to implement these practices without pausing feature work.
Table of contents
The Bug That Looks Like It Isn't ThereWhy Going Faster Can Actually Slow You DownRefactoring Isn't Cleanup. It's a Multiplier.Four Guardrails That Make Speed Stick: CATSWhat This Looks Like in PracticeA Two-Week Sprint to Get Started (Without Pausing Features)The Shift That MattersClosingSort: