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> Curious how you outline the spec, concretely. A sister markdown document? How detailed is it? etc.

Yes. I write the outline in markdown. And then get AI to flesh it out. The I generate a project structure, with stubbed API signatures. Then I keep refining until I've achieved a good level of detail - including full API signatures and database schemas.

> Ironically i've been struggling with this. For best results i've found claude to do best with a test hook, but then claude loses the ability to write tests before code works to validate bugs/assumptions, it just starts auto fixing things and can get a bit wonky.

I generate a somewhat basic prototype first. At which point I have a good spec, and a good project structure, API and db schemas. Then continuously refine the tests and code. Like I was saying, types and linting are also very helpful.



I don't even write the outline myself. I tell CC to come up with a plan, and then we iterate on that together with CC and I might also give it to Gemini for review and tell CC to apply Gemini's suggestions.


I built a tool for this exact workflow in mind but with MCP and versioning included so you can easily track and edit the files on any platform including cursor, Claude desktop etc

https://github.com/jerpint/context-llemur


What kind or projects are more suitable for this approach? Because my workflow, sans LLM agents, have been to rely on frameworks to provide a base abstraction for me to build upon. The hardest is to nail down the business domain, done over rounds of discussions with stakeholders. Coding is pretty breezy in comparison.


That's why you see such a difference in time saved using LLMs for programming across the population. If you have all the domain knowledge and the problem is generic enough it's a 100x multiplier. Otherwise your experience can easily range from 0.1x to 10x.




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