So the scope of answers are single function or single class ? I have people nearby that are attempting generating whole projects, I really wonder how they will ensure anything about it beside the happy paths. Or maybe they plan to have an army of agents fuzzing and creating hotfixes 24/7 ..
> Or maybe they plan to have an army of agents fuzzing and creating hotfixes 24/7
There are absolutely people who plan to do exactly this. Use AI to create a half-baked, AI-led solution, and continue to use AI to tweak it. For people with sufficient capital it might actually work out halfway decent.
I've had success with greenfield AI generation but only in a very specific manner:
1. Talk with the LLM about what you're building and have it generate a detailed technical specification. Iterate on this until you have a good, human-readable explanation of the entire application or feature.
2. Start a completely new chat/context. If you're using something like Gemini, turn temperature down and enable external search.
3. Have instructions¹ guiding the LLM, this might be the most important step, even moreso than #1.
4. Create the base/blank project as its own step. Zero features or config.
5. Copy features one at a time from the spec to the chat context OR have them as separate documents and say things like "we're creating Feature 3A.1" or whatever.
6. Iterate on each feature until you're happy then repeat.
