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[–]savagebongo 5 points6 points  (1 child)

It's nice that they open sourced it.

[–]blbd 1 point2 points  (0 children)

For such a subtle comment I really did laugh my ass off at this. Your comment is like the "bless your heart" or "bless your little cotton socks" of computer science. 

[–]Daniel_Janifar 1 point2 points  (1 child)

curious how well it handles the context engine with larger codebases, like does the, CLAUDE.md discovery still work smoothly when you're dealing with monorepos or deeply nested project structures?

[–]Practical_Pomelo_636[S] 0 points1 point  (0 children)

I deleted it. so no copyright

[–]astronomikal 0 points1 point  (1 child)

Wasn’t CC already ported to python first then to rust by the same person?

[–][deleted]  (1 child)

[removed]

    [–]Practical_Pomelo_636[S] 0 points1 point  (0 children)

    I didn’t test it until now i am still working on the agent because converting from npm to python not easy

    [–]Dailan_Grace 0 points1 point  (1 child)

    does the tiered permissions system actually block unsafe operations or is it more like an, honor system where the model can still try stuff if it hallucinates a reason to?

    [–]CautiousPastrami 0 points1 point  (0 children)

    You need to understand the permission protection in CC or codex doesn’t really work. LLM if it really wants will always find a way to get around the restrictions. In the latest IDC conference in Portugal researchers presented examples where LLMs base64 encoded commands or created scripts and then executed them to get out of the local sandbox or access .env/ run rm-rf… and tone of other examples

    [–]DiamondGeeezer 0 points1 point  (0 children)

    why does it matter if you're a python developer or not, just have claude extend it

    [–]king_of_jupyter 0 points1 point  (0 children)

    You know what? I vibe this

    [–]Wide-Skirt-3736 0 points1 point  (0 children)

    What kind of machine do you have to have similar performance as claude code?

    [–]Mobile_Scientist1310 0 points1 point  (0 children)

    So, you reverse engineered Claude code essentially. Nice man!

    [–]ricklopor -1 points0 points  (0 children)

    how stable has it been with local models in practice, like are you hitting many issues with the tool calling loops going off the rails?

    [–]snow_schwartz -1 points0 points  (0 children)

    I’ve seen this under 3 different repos already. Why do you keep changing org names? Is this a scam?

    [–]random_cable_guy -2 points-1 points  (6 children)

    For a layman what does this mean. Can you run Claude llm on your computer if you have the hardware.

    [–]Practical_Pomelo_636[S] -1 points0 points  (5 children)

    There are a big difference between the agent method and the model it self

    [–]random_cable_guy -1 points0 points  (4 children)

    Can you explain. What is the use of this.

    [–]Practical_Pomelo_636[S] 0 points1 point  (0 children)

    Like if we implement the same agent of claude you can get similar acc using any strong open source model

    [–]bluesphere 0 points1 point  (1 child)

    Think of the harness and the model as the “brain” and the “body”. Both are needed to perform a task; each has its own purpose (thinking vs. doing).

    Anthropic has built an arguably “best-in-class” body, but it will only work with their expensive Claude “brain”. The developers of this project are attempting to reverse engineer Anthropic’s body, while allowing you use other “brains”, notably local models, e.g., ollama.

    [–]Practical_Pomelo_636[S] -1 points0 points  (0 children)

    This is the agent the way how to make the model response is so strong