edgarpavlovsky

edgarpavlovsky / gitstyle

Public

Generate a personal engineering style wiki from your GitHub commit history

46
2
100% credibility
Found Apr 12, 2026 at 46 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

gitstyle examines a developer's or organization's GitHub commit history with AI to create a markdown wiki capturing their unique coding style, patterns, and preferences.

How It Works

1
🔍 Discover gitstyle

You hear about a cool tool that turns a developer's past work into a personal style guide for coding helpers.

2
📥 Get it ready

You add the tool to your computer with a simple download command, like grabbing a new app.

3
🔗 Link your accounts

You connect your online code history place and an AI thinking service so it can learn from real work.

4
✨ Start the magic

You name a developer or team, hit go, and watch it scan years of changes to spot your unique coding habits.

5
📁 Find your wiki

A new folder appears filled with easy-to-read pages about naming tricks, testing ways, and favorite tools.

6
🌐 Explore with viewer

You open a simple web page that shows a map of all the style ideas, clicking to read details.

🎉 Code like you

Your AI coding buddy now reads the wiki and writes perfect code matching your exact style every time.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 46 to 46 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is gitstyle?

gitstyle is a Python CLI tool that pulls your GitHub commit history, analyzes patterns like naming conventions and testing styles using Claude LLMs via the Anthropic API, and spits out a portable Markdown wiki. To get started, generate a GitHub personal access token (or PAT) for API access and set it as GITHUB_TOKEN, plus an Anthropic key. Developers get a browsable knowledge base—think Obsidian-ready docs with commit-cited examples—that coding agents like Claude or Cursor can ingest to match your exact engineering style.

Why is it gaining traction?

It auto-detects personal or org repos, runs incrementally (only new commits on re-runs), and includes a local web viewer with an interactive graph for exploring articles. No lock-in: plain MD output plugs straight into agent prompts or tools like Cursor rules. The hook? Turns raw history into agent fuel, inspired by Karpathy's LLM context ideas, saving manual style guide writing.

Who should use this?

AI-assisted coders feeding GitHub profiles to agents for consistent output. Team leads at orgs like Anthropic or OpenAI wanting shared style docs. Solo devs generating personality traits from commits to onboard tools without starting from scratch.

Verdict

Worth a spin for agent workflows—solid docs, examples for Karpathy/Torvalds, and MIT license—but at 46 stars and 1.0% credibility, it's alpha: expect tweaks for edge cases like private repos. Generate your GitHub token and try `gitstyle run yourusername` if you're experimenting with LLM coding context. (187 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.