Your AI dev team
while you
Queue your tasks, start a batch, and walk away. Four AI agents — a lead, a developer, and two independent reviewers — work through your GitHub issues autonomously, with every PR reviewed twice before it touches main.
Queue a batch. Walk away.
Head assigns an issue to Dev. Dev opens a PR. RE1 and RE2 each review independently. Head merges and picks the next ticket. Repeat until the batch is complete.
4 Agents in One Team
Four quadrants. One dashboard. Zero blind spots.
Four agents collaborate like a human team
The 4 agents keep chatting to work together for each task — from task assignment to implementation to two reviewers who must both approve the code changes to merge and next assignment. All automated work happens via agents chatting like humans, making decisions, arguing over code quality, and reaching consensus before any code touches main.
Each agent has their own desk
Using the user’s LLM subscription (Claude, Codex, Gemini) via terminal CLI — not API keys. Each agent has their own terminal and git worktree, collaborating with other agents like a human staff member has their own desk and workspace. You see exactly what each agent is doing in real-time.
Wake up to merged pull requests
Like a night shift team that works while you rest — QuadWork runs overnight batches using a scheduled trigger. Queue your tasks, go to sleep, and wake up to a batch of successfully merged pull requests. The progress panel tracks every issue from queued to in review to approved to merged.
Monitor and manage from anywhere
High-class operator features: scheduled trigger messaging to keep agents working autonomously, Telegram and Discord bridges so you can monitor and manage agent work remotely from your phone. Like having a project manager’s dashboard in your pocket.
Scroll to explore each quadrant
Four agents collaborate like a human team
The 4 agents keep chatting to work together for each task — from task assignment to implementation to two reviewers who must both approve the code changes to merge and next assignment. All automated work happens via agents chatting like humans, making decisions, arguing over code quality, and reaching consensus before any code touches main.
Each agent has their own desk
Using the user’s LLM subscription (Claude, Codex, Gemini) via terminal CLI — not API keys. Each agent has their own terminal and git worktree, collaborating with other agents like a human staff member has their own desk and workspace. You see exactly what each agent is doing in real-time.
Wake up to merged pull requests
Like a night shift team that works while you rest — QuadWork runs overnight batches using a scheduled trigger. Queue your tasks, go to sleep, and wake up to a batch of successfully merged pull requests. The progress panel tracks every issue from queued to in review to approved to merged.
Monitor and manage from anywhere
High-class operator features: scheduled trigger messaging to keep agents working autonomously, Telegram and Discord bridges so you can monitor and manage agent work remotely from your phone. Like having a project manager’s dashboard in your pocket.
Get started in 30 seconds.
That's it. The wizard handles the rest: