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.
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.
Love this! As a marketer who sees herself as an AI builder, I wonder whether we could use AutonomyAI this to create product marketing content based on actual product code too?
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
About Autonomous Product Delivery on Product Hunt
“Discover, plan, build, ship, repeat. Product teams run it”
Autonomous Product Delivery launched on Product Hunt on September 24th, 2026 and earned 135 upvotes and 6 comments, placing #10 on the daily leaderboard. 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.
Autonomous Product Delivery was featured in Productivity (663.2k followers), Developer Tools (521.3k followers) and Artificial Intelligence (481.3k followers) on Product Hunt. Together, these topics include over 387k products, making this a competitive space to launch in.
Who hunted Autonomous Product Delivery?
Autonomous Product Delivery was hunted by Ben Lang. 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.
Reviews
Autonomous Product Delivery has received 7 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
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Ben Lang
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.