Most code-generation tools give you a snippet. Team-AI gives you eight specialist agents that coordinate like a real dev team — plan, build, test, rework, and ship a pull request to your GitHub.
Every solo founder hits the same wall: you have the idea, you understand the customer, but to actually ship you need a frontend developer, a backend developer, a designer, someone who cares about tests, someone who writes the Dockerfile. That's a year of hiring or forty thousand dollars of contractors — before you know if anyone wants it.
We built Team-AI because Claude was finally good enough to be that team. Not a junior pair-programmer that autocompletes lines — eight specialists that hand work off to each other in a real dependency graph, each with their own system prompt, reasoning budget, and tool permissions.
The platform doesn't hide Claude behind a gloss layer. It uses every capability Claude ships: extended thinking for planning, prompt caching to keep runs cheap, 1M context so every agent sees the full codebase, and native tool use for structured output.
Projects go to your GitHub via OAuth. No proxy, no shared pool — every artifact lands in a repo you own and control.
Bring your Anthropic API key. We don't proxy it, don't cache it on shared infrastructure, and never use it for another user.
The Integration Validator actually runs the build. If tests fail, it loops back into the model's 1M context for a rework round — not a TODO comment.
We don't hedge with multi-provider routers. Claude is our preferred model for agentic code generation, and we design around its specific strengths — extended thinking, prompt caching, 1M context, and tool use.
Sign in with GitHub. Paste your Anthropic key. Describe your app.