ARC uses multiple agents to plan, scaffold, and debug before writing a single line.
No more broken code.
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Unlike reactive code generators, ARC thinks like a senior engineer
5-8 background agents analyze your project structure, understand conventions, and create a detailed execution plan
ARC shows you the complete plan before touching any files. Review, adjust, or approve the approach
Generate conflict-free code that integrates perfectly. No broken imports, no duplicate files
ARC works with the world's most advanced AI models to execute your code and bring your ideas to life
by OpenAI
by Anthropic
by xAI
by Google
Switch between AI models seamlessly • More engines coming soon
While other tools generate code reactively, ARC thinks like a senior engineering team
Like having a senior engineering team review every decision before any code is written.
5-8 background agents collaborate to understand your project architecture, patterns, and conventions.
See the complete execution plan before any code is touched. No surprises, ever.
Review, adjust, or approve the approach. ARC waits for your green light.
Specialist agents join when needed for medical, legal, or fintech projects.
Context-aware solutions that understand industry requirements and compliance.
The difference between reactive and reasoning-first AI
Join developers who plan first, code second, and ship confidently with ARC's multi-agent reasoning system.
We're solving the real issues that make AI coding tools frustrating to use in production
Current AI tools generate code without understanding your project structure, leading to conflicts and broken builds.
Single AI models lack the diverse expertise of a real engineering team reviewing decisions.
Existing tools respond to prompts instead of planning thoughtfully like senior engineers do.
We're building ARC with a small group of developers who are tired of broken AI-generated code. Join our waitlist to get early access when we're ready.
We believe in transparency. ARC is currently in development, and we're not making false claims about user numbers. We're focused on building something that actually works.