mitkox

mitkox / ccar

Public

Claude Code native build of `autoresearch`: an autonomous experiment loop that writes session files, benchmarks changes, logs results, and keeps iterating until interrupted.

19
2
100% credibility
Found Mar 18, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

ccar enables an autonomous loop where AI iteratively experiments with code changes, benchmarks performance, logs outcomes, and refines until interrupted, all locally.

How It Works

1
🔍 Discover ccar

You hear about a smart helper that lets AI automatically tweak and improve your code by testing ideas on its own.

2
📥 Set it up quickly

Run a simple installer script, and everything gets ready in your coding space with one easy step.

3
📂 Open your project folder

Navigate to the piece of code you want to make faster, smaller, or better in some measurable way.

4
🚀 Launch the optimization loop

Give it a clear goal like 'speed this up' and watch the AI start experimenting, testing, and refining automatically.

5
Let it run and iterate

It tries changes, measures results, keeps winners, tosses losers, and builds a history of what works best.

6
📊 Check progress anytime

Glance at the status to see improvements, best results so far, and decide when to wrap up.

🎉 Enjoy better code

Your code is now optimized with proven improvements and a full record of the journey.

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Star Growth

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AI-Generated Review

What is ccar?

ccar turns Claude Code into an autonomous optimization engine with a shell-based experiment loop. You kick it off via slash commands like `/autoresearch` with a goal, and it iteratively tweaks code, runs benchmarks, logs metrics to JSONL files, and commits wins via git—all locally, even with Qwen/vLLM routing. It solves manual AI coding drudgery by resuming sessions, injecting context on start, and blocking stops until you say `/cancel-autoresearch` or hit iteration caps.

Why is it gaining traction?

Unlike claude code cli scripts or github actions, ccar hooks directly into Claude Code's session start/stop and status line for seamless, hands-free iteration—no cloud deps, just Unix shell and jq. Developers dig the compact status summaries, idea deferral files, and auto-branching for clean experiments, making claude code install feel like a free, local powerhouse for claude code skills without claude code pricing worries or downloads.

Who should use this?

AI-assisted coders tweaking benchmarks in Claude Code setups, like backend devs optimizing query speeds or ML engineers iterating model inference on local rigs. Perfect for carwow-style rapid prototyping or cardmarket data scrapers needing faster parses—anyone with claude code github integrations wanting cicar mietwagen-level automation without ccara distractions.

Verdict

Grab it if you're deep in claude code free workflows—19 stars and 1.0% credibility scream early alpha, but solid README and smoke tests make the global install low-risk. Maturity lags polish like ccare or ccart/materialien tools, so test in a sandbox before production cars.

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