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RaptorCode
AI-Native Autonomous Agentic Coding CLI
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?
About RaptorCode on Product Hunt
“AI-Native Autonomous Agentic Coding CLI”
RaptorCode was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #158 on the daily leaderboard. 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.
On the analytics side, RaptorCode competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how RaptorCode performed against the three products that launched closest to it on the same day.
Who hunted RaptorCode?
RaptorCode was hunted by Bob Vasic. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of RaptorCode including community comment highlights and product details, visit the product overview.
Bob Vasic