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Developer builds private AI assistant for Git and project data

A developer built a private AI assistant to query their project management and Git history data using only local LLMs. The system leverages a Text-to-SQL approach, translating natural language questions into SQL queries executed against a local SQLite database. This method ensures all data remains on the user's machine, prioritizing privacy and avoiding cloud-based APIs. The assistant uses Ollama to run models like Qwen2.5-coder locally, with a system prompt that includes the database schema, sample values, and few-shot examples to guide the LLM in generating accurate SQL queries and summarizing results. AI

IMPACT Enables developers to build custom, private AI tools for managing structured data, reducing reliance on cloud services.

RANK_REASON The cluster describes a personal project building a tool using existing LLMs and technologies, rather than a new model release or significant industry event.

Read on dev.to — LLM tag →

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

Developer builds private AI assistant for Git and project data

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0 / 100
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Newsworthiness bucket
Tool
The cluster describes a personal project building a tool using existing LLMs and technologies, rather than a new model release or significant industry event.
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Single-source cluster
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.
Topics
product, infra
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High
Clearly on-topic for AI-industry coverage.
Story freshness
127 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Pouria Zandakbari ·

    I Built a Private AI Assistant That Queries My Git History and Project Management Data — Using Only Local LLMs

    <p><strong>No API keys. No cloud. All data stays on my machine.</strong></p> <h2> The Problem </h2> <p>As a web developer, I constantly need to answer questions like:</p> <ul> <li>"Who committed the most to our main repo this month?"</li> <li>"What files were changed for the last…