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Bash-based AI coding assistant uses local Gemma model, outperforms Copilot

By PulseAugur Editorial · [1 sources] ·

A developer has created a command-line coding assistant using a combination of standard Linux tools like bash, sed, and grep, along with curl. This project, named "canitbedone," utilizes a local instance of Google's Gemma 4 model running through llama.cpp for its AI capabilities. The developer reports that this tool performs surprisingly well, even outperforming GitHub Copilot on certain tasks, and has minimal dependencies beyond the core Linux utilities and the AI model. AI

IMPACT Demonstrates how local LLMs can be integrated with traditional command-line tools for practical coding assistance.

RANK_REASON This is a user-created tool that leverages existing AI models and standard software utilities.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Bash-based AI coding assistant uses local Gemma model, outperforms Copilot

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0 / 100
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Tool
This is a user-created tool that leverages existing AI models and standard software utilities.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, model release
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High
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Story freshness
178 days old
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    My another # canitbedone # software # project . # bash # AI # coding assistant. Very hacky combination of bash, sed, awk, wc, grep, jq and of course # curl glue

    My another # canitbedone # software # project . # bash # AI # coding assistant. Very hacky combination of bash, sed, awk, wc, grep, jq and of course # curl glued together in about 3k lines of bash source code. As # LLM it is using local instance of # modelGemma4 running in # llam…

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