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Discussion on: 5 Things To Avoid When Working With AI Coding Tools

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crisiscoresystems profile image
CrisisCore-Systems

Good post.

What stands out to me is that the real failure is not just bad output. It is teams slowly losing operational ownership of code that still looks reviewable on the surface.

That is the dangerous part of AI assisted development. The code can compile, pass checks, and even look cleaner than what a rushed human would have written, while still leaving nobody with a strong enough mental model to modify or defend it later under pressure.

So to me this is bigger than productivity or technical debt. It is a question of retained human comprehension. If the team cannot explain the behavior, reason about edge cases, and safely extend the code without leaning on the same tool again, then the debt is already live even if the dashboard stays green.

Strong breakdown.