zh2408

The 100 lines: https://github.com/The-Pocket/PocketFlow/blob/main/pocketflo... Video: https://www.youtube.com/watch?v=0Zr3NwcvpA0

Could you try to use gemini 2.5 pro? It's free every day for first 25 requests, and can handle 1M input tokens

You can provide GitHub token

This code creates an HTTP session, sets a cookie within that session, makes another request that automatically includes the cookie, and then prints the response showing the cookies that were sent.

I may miss the error, but could you elaborate where it is?

Yeah, RAG is not the best option here. Check out the design doc: https://github.com/The-Pocket/Tutorial-Codebase-Knowledge/bl... I also have a YouTube Dev Tutorial. The link is on the repo.

By default we use both based on regex:

DEFAULT_INCLUDE_PATTERNS = { ".py", ".js", ".jsx", ".ts", ".tsx", ".go", ".java", ".pyi", ".pyx", ".c", ".cc", ".cpp", ".h", ".md", ".rst", "Dockerfile", "Makefile", ".yaml", ".yml", } DEFAULT_EXCLUDE_PATTERNS = { "test", "tests/", "docs/", "examples/", "v1/", "dist/", "build/", "experimental/", "deprecated/", "legacy/", ".git/", ".github/", ".next/", ".vscode/", "obj/", "bin/", "node_modules/", ".log" }

Thank you! And correct, I didn't modify the outputs. For small changes, you can just feed the commit history and ask an LLM to modify the docs. If there are lots of architecture-level changes, it would be easier to just feed the old docs and rewrite - it usually takes <10 minutes.

Thanks—would really appreciate your PR!

Their site seems to be down. I can't find their results.

Haha. The project is fully open-sourced, so you can tune the prompt for the tone/style you prefer: https://github.com/The-Pocket/Tutorial-Codebase-Knowledge/bl...

The Linux repository has ~50M tokens, which goes beyond the 1M token limit for Gemini 2.5 Pro. I think there are two paths forward: (1) decompose the repository into smaller parts (e.g., kernel, shell, file system, etc.), or (2) wait for larger-context models with a 50M+ input limit.

Yeah, I'd recommend trying Gemini 2.5 Pro. I know early Gemini weren't great, but the recent one is really impressive in terms of coding ability. This project is kind of designed around the recent breakthrough.

No, I haven't, but I will check it out!

One thing to note is that the tutorial generation depends largely on Gemini 2.5 Pro. Its code understanding ability is very good, combined with its large 1M context window for a holistic understanding of the code. This leads to very satisfactory tutorial results.

However, Gemini 2.5 Pro was released just late last month. Since Komment.ai launched earlier this year, I don't think models at that time could generate results of that quality.

Yes! This is an initial prototype. Good to see the interest, and I'm considering digging deeper by creating more tailored tutorials for different types of projects. E.g., if we know it's web dev, we could generate tutorials based more on request flows, API endpoints, database interactions, etc. If we know it's a more long-term maintained projects, we can focus on identifying refactoring patterns.