Comment by pksebben

I'd advise caution with this approach. One of the things I'm seeing a lot of people get wrong about AI is that they expect that it means they no longer need to understand the tools they're working with - "I can just focus on the business end". This seems true but it's not - it's actually more important to have a deep understanding of how the machine works because if the AI is doing things that you don't understand you run a severe risk of putting yourself in a very bad situation - insecure applications or servers, code with failure modes that are catastrophic edge cases you won't catch until they're a problem, data lossage / leakage.

If anything, managing the project, writing the spec, setting expectations and writing tests are things llms are incredibly well suited for. Getting their work 'correct' and not 'functional enough that you don't know the difference' is where they struggle.