AutonomyAI is the operating system for building in production. Product teams run the whole delivery loop as one system on their real codebase: research a question, plan the spec, build with the team's own components and conventions, verify in the running app, and hand engineers a review-ready pull request. Every merge makes the system smarter. Trusted by 170+ product teams building in production.
This is the 5th launch from AutonomyAI. View more
Autonomous Product Delivery
Launching today
AI coding agents made code fast; delivery still crawls, because coding is one seat in the product cycle. Autonomous Product Delivery runs the whole loop as one system on your real codebase. Ask a question, or let it suggest the next improvement on its own: The final piece in the loop, the new Discover Mode, researches your analytics, tickets, calls, and code, then the system plans, builds, verifies, and hands your engineers a review-ready PR. Every merge makes it smarter.
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Launch Team
AutonomyAI
Tammuz here, co-founder and CTO.
The question worth asking in this thread: does it work on a real, messy, years-old codebase, or only on a clean demo repo? That's the case we built for.
The Product Harness learns your actual conventions, your actual components, and which parts of the code are load-bearing, and it gets better with every merge. It also picks up the R&D harness your devs already put in the repo (CLAUDE.md files, cursor rules, skills), so it starts from what your team already taught its own agents instead of from zero.
Ask me anything technical: architecture, verification, what happens on a gnarly legacy repo. I'm here all day.
AutonomyAI
Hey Product Hunt!
Last time we were here, we launched Design Mode, visual editing for designers, on your real codebase. Today's launch is the much bigger idea it was part of.
Autonomous Product Delivery is the whole product loop running as one system on your production codebase. Someone on your product team asks a hard question, like "why did activation drop after the UX change?" Discover Mode researches it across your analytics, support tickets, customer calls, and the codebase itself.
The system plans the fix, builds it with your components, verifies it in your running app, and hands your engineers a review-ready PR. It even suggests the next improvement without being asked. Engineers approve every merge, and every merge makes the system smarter.
This is truly brining companies to become AI Native.
New since May: Discover Mode, autonomous suggestions, Team view, MCP support (run it from Claude Code or Cursor), and Slack.
I'll be in the thread all day. If you want to go deep on the technical side, @tammuz_dubnov (our CTO) is here too, ask him anything.
Adir