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There are some but not a lot, current AI is a lot better focusing on smaller more well-defined problems than stuff like "add this feature" or "fix this bug". A

There are some but not a lot, current AI is a lot better focusing on smaller more well-defined problems than stuff like "add this feature" or "fix this bug". A good example is this PR for llama.cpp which the author says was written 99% by AI. https://github.com/ggerganov/llama.cpp/pull/11453 https://github.com/ggerganov/llama.cpp/pull/11453 When the problem statement can be narrowed down to "Here is some code that already produces a correct result, optimize it as much as possible" then the AI doesn't need to understand any context specific to your application at all and the chance it will produce something usable is much higher. Maybe it will eventually be better at big picture stuff but for now I don't see it.

rerdavies 1y ago
The problem I have is keeping up. Current generation coding assistants are capable of doing things they could not do mere months ago, and are dramatically more capable than they were a year ago. I recently gave my coding assistant a task that was much larger than I usually trust my coding assistant with; and it produced a very large chunk of code that was remarkably well implemented. (And then rewrote about 2/3 of in order to add an innovative feature. But still). As things stand at this particular moment, I am unsure of the upper limit of what I can trust this month's AI coding assistant with. Learning to use ones' tools properly is a big part of programming.