antonellof

7 ms·

1.
by antonellof 7d ago
Visual Git app inside your terminal: commit graph, diffs, stage by file or hunk, commit, branches, stash, push and pull, all with the mouse. Works in Ghostty, cmux, kitty and WezTerm, next to any CLI coding agent. One small Rust binary, no
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by antonellof 1mo ago
AI code quality is not bad, using vim and emacs do not elevate the code quality. do you prefer a typewriter or a computer? it's called future...
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by antonellof 1mo ago
Contribute = Human ideas, testing, review etc. The monkey part of writing code by hand = obsolete. Do you still write code without and IDE? you remember all the programming language words? everything? you use stackoverflow? it's call
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by antonellof 1mo ago
That's a fair ask, and thanks for putting it that way. I do like writing, and I can write. It just takes me a lot longer in English than in Italian, which is how I ended up handing the post over. But your point stands: if you already r
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by antonellof 1mo ago
Thanks for the comment. Parity with llama.cpp isn't my goal. What I actually want is MoE on machines that can't fit the model in VRAM, and specifically expert-level residency instead of layer offload: track which experts get hit d
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by antonellof 1mo ago
That’s the goal, an infinite loop of self improving inference engine that gets better and better by himself.
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by antonellof 1mo ago
I have the skills, qualifications and experience to do this; ( see https://www.credly.com/users/antonello-fratepietro ) by using AI (I monitor what it does), I’m able to carry out a project like this! I’m a coder, not
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Building a Rust Inference Engine That Matches Llama.cpp(fratepietro.com)
23 points by antonellof 1mo ago|41 comments
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by antonellof 1mo ago
I’ve spent the last few days building Ferrox, a pure-Rust inference engine for running open LLMs locally — dense models and Mixture-of-Experts, on CPU, Apple Metal, or CUDA. No bindings to llama.cpp or ggml, no wrapping an existing runtime.
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Show HN: Underscore – Code with AI in the browser, zero setup required(app.underscore.is)
1 points by antonellof 8mo ago|0 comments
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English Alpha Arena: Open-source AI trading competition platform(github.com)
1 points by antonellof 11mo ago|0 comments
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Show HN: Multi-Agent AI with OpenAI Agents SDK (Analysts → Statisticians)(cognitora.dev)
1 points by antonellof 11mo ago|0 comments
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by antonellof 11mo ago
I tried it and created a full RAG application very easily. I followed the examples in the online documentation and it was really a piece of cake. My previous implementation of RAG (without Datapizza) used direct libraries such as OpenAI, Se
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Show HN: VittoriaDB – Zero-config embedded vector DB with HNSW and ACID storage(github.com)
3 points by antonellof 1y ago|0 comments
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by antonellof 1y ago
Yes, thanks, good catch, i've just edit the gitignore, in case you are interested please open a PR or contribute, the project is very very fresh!
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VittoriaDB: Zero-config local vector database in a single Go binary(github.com)
1 points by antonellof 1y ago|3 comments
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by antonellof 1y ago
I built VittoriaDB as a simple alternative to complex cloud vector databases. It's a single Go binary that works immediately after download - no Docker, no configuration, no cloud dependencies. Key features: - HNSW indexing with <1m