AutonomyAI (Fei Studio) turns product ideas from prompts, Figma, screenshots, or tickets into codebase-aligned prototypes, specs, and pull requests so PMs and designers ship with one engineering approval.
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Full overview from our catalog (read-only reference).
Category (short)
Code Assistant
Category
Code Assistant
Pricing (CSV)
Paid Service
Directory pricing
Paid
Sponsored note
no
Target audience
Product-led teams with an existing production codebase who want PM/design to ship mergeable changes. Not ideal for: greenfield vibe-coding with no repo, or orgs that forbid non-engineers opening PRs.
Best for
Product-led teams with an existing production codebase who want PM/design to ship mergeable changes. Not ideal for: greenfield vibe-coding with no repo, or orgs that forbid non-engineers opening PRs.
Pricing notes
Verified September 2026 at https://autonomyai.io. Public pages emphasize per-task pricing (not per seat or per internal step) and trial/demo access. Exact dollar tiers not published on the homepage; request trial or sales for current rates.
Pros & cons
Editorial notes to help compare fit before opening the vendor site.
Pros
Built for production repos and engineer-approve workflows
Accepts Figma, screenshots, and PRDs as input
MCP / Cursor / Claude Code delivery-layer positioning
Cons
Public dollar pricing not listed
Requires a real git codebase to be useful
Early product
verify security and review process before wide rollout
Review notes
Context from the listing review and editorial research.
NEW tool. Product name on site is Fei Studio under AutonomyAI branding. Positioned against coding agents that still dump work back on engineers. Distinct from no-code app builders that cannot touch the real codebase.
Extended features
In-depth description and capability notes.
Git codebase ingestion mapped to components, APIs, and design system
Task execution that orchestrates many internal agent steps per task
Triple output: visual prototype, production-style code, and PR plus specs
Works as a delivery layer inside Claude Code, Cursor, or MCP clients
Explorer Mode planned for product-analytics context
Self-updating agent knowledge as the repo changes
Use cases
Product managers and designers open production PRs against the real stack instead of throwing away prototype apps or waiting in the engineering backlog.