AI Coding Agents Are Widening the Gap Between Strong and Weak Engineers

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AI coding agents now allow developers to generate tens of thousands of lines of code in hours, but the requirement to review and understand that code has not changed. Senior engineers who deeply understand system architecture have become more valuable than ever, while developers who rely solely on AI prompts without grasping the underlying logic pose growing risks to production systems. The speed of code generation has far outpaced teams' capacity to meaningfully review what is being merged. This mismatch is creating a structural problem for software teams that adopted AI tools without updating their engineering standards and review processes. The result is a widening divide between engineers who can reason about systems independently and those who cannot explain why their AI-generated code works.

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