cvzakharchenko

Interesting. I know people do this manually. But are there agentic coding tools that actually automate this approach?

So it's not STT -> LLM -> TTS? If I scream Chewbacca noises as input, will the model recognize it as nonsense, or will it interpret it with some lousy STT as some random words?

Thanks! I use Aider with Claude 3.5 Sonnet on smaller projects sometimes, and it's really fun and helpful when it can put a whole repo map into the LLM's context.

>5k source files. They don't fit into the context. I know I can limit what is sent, and I can attach files in the Aider chat myself. But this is not perfect for making an LLM answer questions about a codebase when I don't know much context beforehand. With Cursor, I can just do "@codebase How is a %feature% implemented?", and it's very quick and often helpful with a couple of follow-ups.

Thanks for the suggestion! It needs some work to set up, and it looks like it only works on Github repos. Also, to work with non-local LLMs, you can only use Pinecone for vector storage. I might have misunderstood something, but I will check it out again later.

Aider is really cool for small projects, but it builds a repo map instead of using RAG. That works on small codebases, but totally fails to be useful on large ones.

Oh, I’m yet to find a good alternative to Cursor’s RAG-powered side chat. It helps me work with huge codebases so much. Tried Continue, but it’s very unstable, and doesn’t work as well. Would prefer a command line solution, vscode plugin is the next choice, having a separate editor is not ideal, but I’m glad there’s some competition.

I gave the SVG unicorn back to GPT-4 and asked it, what is it.

It recognized a head, eyes, body and legs. But it didn't recognize the unicorn.

https://chat.openai.com/share/5409b417-b883-429f-893e-abe3d6...