Autonomous Product Delivery
Discover, plan, build, ship, repeat. Product teams run it
AI platform that turns product ideas into production-ready code, letting PMs and designers ship faster.
AutonomyAI features
Overview
What is Autonomous Product Delivery?
Discover, plan, build, ship, repeat. Product teams run it
Autonomous Product Delivery by AutonomyAI is an AI platform for shipping product changes in production. Its product surface, Fei Studio, turns product managers and designers into product builders.
Fei Studio ingests your real codebase and models how your engineers write code, then turns raw ideas — from prompts, screenshots, or Figma designs — into production-ready changes and pull requests. Every task produces clean, reviewable code plus full specs, so engineering reviews and ships it.
Discover mode researches analytics, tickets, and customer feedback to find the problem worth building before a ticket exists. After shipping, the platform measures the result and proposes the next build, closing the loop: Discover → Plan → Build → Ship → Measure → Optimize.
Fei Studio also works inside any AI agent (Claude Code, Cursor, or any MCP client) via an MCP server, and runs within the customer's own infrastructure. Every merge is approved by the customer's engineers — human-in-the-loop by design.
Pricing is sales-led with no public price list; an interactive playground is available to try. See autonomyai.io for current details.
Platforms and languages
Autonomous Product Delivery Availability
Platforms
Languages
Capabilities
Autonomous Product Delivery Key Features
Codebase ingestion
Fei Studio plugs into your real repo and models how your engineers write code, giving AI real context to work autonomously.
Task execution
Turns raw product ideas from prompts, screenshots, or Figma designs into production-ready changes and pull requests.
Discover mode
Researches analytics, tickets, and customer feedback to find the problem worth building before a ticket exists.
Ship / measure / optimize loop
After shipping, Fei Studio measures the result and proposes the next build — Discover → Plan → Build → Ship → Measure → Optimize.
MCP server
Works inside any AI agent (Claude Code, Cursor, or any MCP client) and runs within the customer's infrastructure.
Best for
Who uses Autonomous Product Delivery?
Product managers and designers
Build production-ready product changes without heavy engineering handoffs
Product and engineering teams
Run the full delivery loop from discovery to shipped code
Plans and access
Autonomous Product Delivery Pricing
Paid
Sales-led pricing; interactive playground available to try.
Common questions
Autonomous Product Delivery FAQs
What is Autonomous Product Delivery?
An AI platform (Fei Studio) that turns product ideas from prompts, screenshots, or Figma designs into production-ready code and pull requests for engineers to review and merge.
How much does it cost?
Pricing is not published; it's sales-led. Book a demo or talk to sales for a quote.
Can I try it before buying?
Yes — an interactive playground ("Try Fei Studio") is available from the site.
Do engineers still review the code?
Yes. Every merge is approved by the customer's engineers — human-in-the-loop is part of the design.
Which platforms does it run on?
It's web-based (Fei Studio), with an MCP server that works inside Claude Code, Cursor, or any MCP client.
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