dirac-run

dirac-run / dirac

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Open Source Coding Agent singularly focused efficiency. Reduces API costs by 50-80% vs other agent AND improves the code quality at the same time. Uses Hash Anchored edits, massively parallel operations, AST manipulation and many many other optimizations. https://dirac.run/

16
1
100% credibility
Found Apr 10, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Dirac is an open-source AI coding agent that performs complex refactoring tasks more accurately and cost-effectively than competitors by using optimized context curation and precise multi-file edits.

How It Works

1
๐Ÿ” Discover Dirac

You find this smart coding helper on GitHub or your code editor's store while looking for AI tools to improve your projects.

2
๐Ÿš€ Add it quickly

Install it in your code editor marketplace or with a simple setup so it's ready to use right away.

3
๐Ÿ”— Link your AI

Connect it to your preferred AI service, letting the helper access smart thinking power for code tasks.

4
๐Ÿ’ฌ Describe your goal

Tell it what you need, like 'refactor this messy code' or 'add logging everywhere', and watch it understand your project.

5
๐Ÿง  See the plan

It reads your files, thinks step-by-step, and shows a clear plan for precise changes across multiple files.

6
โœ… Review smart edits

Check the targeted improvements, approve safe actions, and let it update your code accurately.

๐ŸŽ‰ Enjoy better code

Your project is cleaner, faster, and cheaper to maintain, with perfect results every time.

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AI-Generated Review

What is dirac?

Dirac is an open source coding agent on GitHub that automates complex code tasks like multi-file refactors in repos such as VSCode or Transformers. Installed as a TypeScript CLI (`npm i -g dirac-cli`) or VSCode extension, it takes natural language prompts, plans changes, edits files precisely, runs commands, and seeks approvals before acting. It slashes API costs 50-80% while delivering higher accuracy on real-world coding agent benchmarks.

Why is it gaining traction?

In coding agents comparison and ranking, Dirac stands out by nailing 100% accuracy on tough tasks at 2.8x lower cost than rivals like Cline or Rooโ€”proven on public evals anyone can reproduce. Plan/act modes let you review strategies first, yolo mode auto-approves simple fixes, and it pipes git diffs for quick reviews. Devs love the efficiency for agent workflows without token waste.

Who should use this?

Backend engineers refactoring legacy monorepos, solo fullstack devs handling Django or Hugging Face PRs, or teams evaluating coding agent skills before Google or Pi alternatives. Ideal if you're tired of manual multi-file edits and high LLM bills on agentic coding.

Verdict

Promising early fork with killer benchmarks, but 16 stars and 1.0% credibility signal it's rawโ€”docs are solid, install is smooth, tests cover CLI flows. Try the CLI for refactors if cost matters; skip for production until more adoption.

(187 words)

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