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Open-source LLM coding tools offer local, private alternative

A locally hosted, open-source combination of Ollama, the Qwen code model, and Zoo Code Agent offers a privacy-preserving alternative for LLM-assisted coding. This setup runs on a 64GB Silicon Mac, providing a slower but ethically and securely advantageous option compared to commercial solutions. The primary constraints are processing power and hardware longevity, with the added benefit of using renewable energy. AI

IMPACT Provides a privacy-focused, locally-run option for developers seeking LLM coding assistance without relying on large tech companies.

RANK_REASON The cluster describes a combination of existing tools for a specific use case, not a novel release or major industry shift.

Read on Mastodon — fosstodon.org →

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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    If you want to do LLM assisted coding and don’t want to give your money and private data to tech behemoths, this 100% locally hosted open source combo works sho

    If you want to do LLM assisted coding and don’t want to give your money and private data to tech behemoths, this 100% locally hosted open source combo works shockingly well: ollama, qwen code model, zoo code agent. Tested on: 64GB Silicon Mac, Python and Lisp. It runs slower, but…