For me, it is a different experience. Yes, it takes time to provide the LLM with the necessary context, but overall it can save me 3-4 times the time I would ha

For me, it is a different experience. Yes, it takes time to provide the LLM with the necessary context, but overall it can save me 3-4 times the time I would have invested. Maybe I am just slower at software development myself ;-) However, the work you do is indeed more that of a product owner than that of a developer. To avoid hallucinations, providing extensive documentation and allowing the LLM to perform test-driven development can be a game-changer. When you do that, generation time is highly correlated (negatively) with code quality. So when the AI solves the tasks quickly and easily, you have a good chance of it generating good code. As soon as the AI has to try and try again to build something working, you should be very skeptical of the result. Over the past months and years, I have used this method, and because it is somewhat reproducible, you can see the progress that LLMs are making. Sessions where the model does stupid things are becoming fewer, and sessions where the model finds a good solution become more frequent.