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I think people / the market have gotten a little too excited about something AI is actually pretty bad at - making changes to existing code (which is, after all, most of the code).

AI software devs don’t understand requirements well, and they don’t write code that confirms to established architecture practices. They will happily create redundant functions and routes and tables, in order to deliver “working code”.

So AI coding is bunk? No, it’s just that the primary value lies elsewhere than code generation. You can stuff A LOT of context into an LLM and ask it to explain how the system works. You can ask it to create a design that emulates existing patterns. You can feed it a diff of code and ask it to look for common problems and anti-patterns. You can ask it create custom diagrams, documentation and descriptions and it will do so quickly and accurately.

These are all use cases that assist with coding, yet don’t involve actually writing code. They make developers more knowledgeable and they assist with decision making and situational awareness. They reduce tedium and drudgery without turning developers into mindless “clickers of the Tab key”.




Could not agree more. Plus, even for all of those tasks it takes a couple of iterations if not more.


I'm finding different tools can do this to different degrees of success.

Aider, for example, has been pretty decent at finding where to do what, as long as it's guided there in a certain way.

Still, it's far from perfect, but in more and more cases, doable.




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