Who Is Accountable for AI-Generated Code? A Practical Framework for Dev Teams

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As more development teams ship AI-assisted work, questions of accountability for AI-generated code are becoming critical to productivity and quality. Experts argue that the engineer who deploys the code bears full responsibility for its correctness, security, and maintainability, regardless of how it was produced. Teams are advised to establish clear review protocols, including defining which domains — such as authentication or compliance — should never rely primarily on AI. Assigning ownership for bug fixes, documentation, and long-term maintenance upfront is seen as essential to avoiding deferred blame. Tracking which AI-generated changes lead to bugs or regressions can help teams identify where human oversight is most needed and refine their delegation practices over time.

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Developer Builds Fully Functional Windows 98-Themed Portfolio Without AI or Frameworks

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ProgrammingDEV Community ·

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