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The cost of saying yes has changed
AI has shifted the primary cost of engineering from writing code to reviewing and maintaining it, turning patches into a tool for pricing uncertainty.
What: GitHub engineers argue that since AI generates code quickly, the actual bottleneck is now 'ownership'—the human responsibility for ensuring code quality, risk mitigation, and long-term maintenance of the generated output.
Why it matters: This marks a transition in the developer role from 'writer' to 'editor and auditor,' requiring a shift in how we measure value and manage technical debt.
Original article
AI has shifted the main cost of many small engineering changes from writing code to reviewing and owning it, making generated patches a fast way to price uncertainty, validate scope with concrete evidence, and focus human judgment on maintainability, risk, and long-term ownership rather than implementation effort.
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