From AI autocomplete to AI teams — four paradigm shifts in software development
AI code completion inside the IDE
You code in your IDE while AI provides line-level completions and suggestions.
AI coding agent in the terminal
Interact with AI through the terminal — it reads, writes files, and executes commands directly.
File an Issue, Dev + QA deliver automatically
Just open a GitHub Issue. AI Dev implements the code and submits a PR, AI QA reviews — seamlessly integrated into your GitHub workflow.
PM leads the team, projects delivered end-to-end
Define the project framework. AI PM breaks down requirements and milestones, leading Dev and QA to deliver the entire project autonomously.
A PM leads Dev & QA — just like a real engineering team, running entirely on GitHub.
Formerly you in vibe coding
The PM takes over your role — breaking down requirements, managing milestones, reviewing PRs, and coordinating the team to ship autonomously.
Claims issues, creates feature branches, writes code & tests, submits PRs.
Reviews code quality, runs tests, finds missing coverage, submits bug reports.
Real infrastructure, real transparency, real autonomy
Built on GitHub, always in your control
Every task is a GitHub Issue. Every change is a Pull Request. You see exactly what's happening — and can intervene, comment, or override at any time.
Real machines, not sandboxes
Each agent runs on a dedicated AWS EC2 instance with full network access, standard tooling, and proper security isolation — not a locked-down sandbox like e2b.
Watch your AI team work in real-time
A visual project interface that turns development into a spectator experience. See agents claim tasks, write code, and ship PRs — like a real-time strategy game.
From repo to running team in minutes
Connect your GitHub repo, define your project goals, and the AI team spins up automatically — no CI/CD setup, no infra management, no onboarding.