Ashutosh0x

Ashutosh0x / arc-cli

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ARC: High-Performance Agentic CLI Framework built in Rust for autonomous multi-agent code generation.

arc-cli-docs.vercel.app agent ai autonomous-agents cli llm
11
5
100% credibility
Found Mar 23, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

ARC is a high-performance, terminal-native AI coding agent that connects to multiple AI providers to autonomously analyze, plan, edit, and review codebases.

How It Works

1
🔍 Discover ARC

You hear about ARC, a super-fast AI helper that works right in your terminal to understand and improve your code projects.

2
📥 Get it running

Download and install ARC with a simple command, and it launches instantly without any complicated setup.

3
🔗 Link your AI brain

Connect to your favorite AI service like Claude or Grok so ARC can think and create smart plans for your code.

4
📁 Point to your project

Tell ARC about your codebase by running it in your project folder, and it scans everything automatically.

5
💭 Describe your goal

Just type what you want done, like 'add login feature', and ARC creates a detailed step-by-step plan you can review.

6
Review and tweak plan
👍
Approve plan

Give the thumbs up and watch ARC make precise changes to your files.

✏️
Ask for changes

Suggest tweaks to the plan, and ARC refines it until it's perfect.

🎉 Perfect code ready

ARC finishes your task with clean, tested changes, and you see exactly what was updated before committing.

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AI-Generated Review

What is arc-cli?

Arc-cli is a Rust-powered CLI for autonomous multi-agent code generation, letting you point it at a codebase and describe changes in natural language—it plans, codes, tests, and verifies autonomously. A single static binary under 15MB, it supports providers like Claude, Gemini, OpenAI, Groq, xAI Grok, or offline Ollama, with commands like `arc chat`, `arc review`, and `arc graph search`. It handles everything from PR critiques to structural code queries via integrated knowledge graphs.

Why is it gaining traction?

It boots in under 20ms with zero runtime deps, crushing Node-based tools like Claude Code or Gemini CLI on cold start and binary size, while adding multi-provider failover, voice mode, and Landlock sandboxing. Benchmarks prove SSE parsing at 2GB/s zero-alloc and session checkpoints in 45ms, plus arc github actions integration for runners and workflows. Developers dig the vim-keyed diff reviews and Cypher-like graph queries for arc github helm charts or Kubernetes repos.

Who should use this?

Backend devs debugging large Rust or Go codebases, ops engineers tracing call graphs in arc github kubernetes setups, or indie hackers automating PR reviews without cloud lock-in. Ideal for arc client reporting in CI or local arc clinic near me workflows needing fast, offline code intel.

Verdict

Early alpha with 11 stars and 1.0% credibility—docs shine, benches rigorous, but test real-world scale before prod. Track for v1 if terminal AI speed matters.

(187 words)

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