Dispatch a swarm, not a prompt. RaptorCode runs frontend, backend, test, and security agents in parallel — each in its own git worktree, thinking at full depth — then hands you the diff. Closed beta now open.

Hey Product Hunt — Bob from RaptorLabs here. We built RaptorCode because AI coding still feels too linear: one chat, one prompt, one task, too much manual orchestration. Real software work is parallel — frontend, backend, tests, security review, and diffs all moving together. RaptorCode is a CLI that dispatches specialized coding agents into separate git worktrees. They work in parallel, think at full depth, and return reviewable diffs so developers stay in control. The goal is not to replace engineers. The goal is to remove orchestration overhead and help builders move from issue to reviewed code faster. Closed beta is now open. We would value feedback from developers building production SaaS, security-sensitive apps, and fast MVPs. The main question we are exploring: where would you trust autonomous coding agents today, and where do you still want strict human review?

How does it actually decide which agent gets to own a particular file when two of them want to edit the same thing at once?

ran a small refactor through it and came back to clean diffs across all four agents, no merge headaches since they each stayed in their own worktree

How does it actually decide which agent gets to own a particular file when two of them want to edit the same thing at once?

ran a small refactor through it and came back to clean diffs across all four agents, no merge headaches since they each stayed in their own worktree

RaptorCode

AI-Native Autonomous Agentic Coding CLI

AI-Native Autonomous Agentic Coding CLI