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“I’m calling it now, the adoption of AI agents into software development will be one of the most costly mistakes in the field’s history. Agents cannot program…” (geohot.github.io)
submitted 4 months ago by to c/webdev@programming.dev
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I’m calling it now, the adoption of AI agents into software development will be one of the most costly mistakes in the field’s history. Agents cannot program, and it’s taking longer and longer to realize that they can’t. They are a highly sophisticated statistical model designed to mimic the distribution of programming. The output is broken, but in a way that’s getting harder and harder to detect. Which is exactly what you’d expect from an increasingly accurate statistical model.

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[–] 3 points 4 months ago

To add to the other response - it is much more difficult to work with Ai to debug inconsistent issues or similar unless you can understand the code and step through with a debugger to check for race conditions or similar.

Recently I was working with an Ai tool for some c code that depending on machine ran wildly differently. The Ai was unable to identify any issues, and kept recommending fixes for hardcoding values or similar that I had to revert. The fix ended up needing to use valgrind to create a different enough environment to see how a race condition was made to properly have one async call delay for the other.

AI can be powerful, and humans can be dumb. But if the code was human made, I would not have needed 3 hours to find a problem, and I wouldn't have tried to turn to AI for a simple fix because I'd know what I was looking for to start with.

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