The quality of AI-assisted software depends on unit of work management

I first tried getting specific with Claude Code. I made the Claude.md, I detailed how to do TDD, what steps it should take, the commands it should run. It was imperfect. Then I had it plan (think hard) and write the plan to a file. I’d clear context, have it read the plan, ask me questions, and then have it decompose the plan into a detailed plan of discrete tasks. Have it work its way through that. It would inevitably go sideways halfway through, even clearing context between each task. It wouldn’t run tests, it would commit breakage, it would flip flop between two different broken approaches, it was just awful. Now I’ve just been vibing, writing as little as possible and seeing what happens. That sucks, too.

It’s amazing at reviewing code. It will identify what you fear, the horrors that lie within the codebase, and it’ll bring them out into the sunlight and give you a 7 step plan for fixing them. And the coding model is good, it can write a function. But it can’t follow a plan worth shit. And if I have to be extremely detailed at the function by function level, then I should be in the editor coding. Claude code is an amazing niche tool for code reviews and dialogue and debugging and coping with new technologies and tools, but it is not a productivity enhancement for daily coding.

With all due respect, you sound like someone who is just getting familiar with these tools. 100 more hours spent with AI coding and you will be much more productive. Coding with AI is a slightly different skill from coding, similar how managing software engineers is different from writing software.

Then, it's the job of someone else to use these tools, not developers