How one developer made AI-generated code safe to merge without manual review

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A developer running multiple AI coding agents in parallel found the daily volume of code changes exceeded what any human could feasibly review in a working day. Rather than reducing output, he restructured his workflow so that potential issues are caught automatically before code reaches the review stage. He achieved this by enforcing strict linting rules — including complexity limits and TypeScript strict presets — as hard errors that AI agents, unlike human engineers, never push back against. Exceptions to these rules are tracked in a visible config file with written justifications, making rule erosion easy to spot. Critical logic is also extracted into pure, tested functions so that decisions made by automated tools remain verifiable and auditable.

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