AutonomyAI
Production delivery layer that turns product requests into code, prototypes, specs, and pull requests
Overview
AutonomyAI, presented on its site through Fei Studio, connects product requests to a team's existing codebase and delivery process. It ingests repositories and maps conventions, APIs, components, and architecture. A task can produce a visual prototype, code aligned to the repository, a specification, and a pull request for engineering review. It also works with AI agents such as Claude Code, Cursor, and MCP clients.
Key features
- Git repository and codebase ingestion
- Product requests from PRDs, screenshots, tickets, or Figma
- Codebase-aligned implementation plans
- Visual prototype generation
- Production code and specification output
- Pull requests for engineering review
- MCP connection for existing ai agents
Use cases
- Product-to-code delivery
- Feature development
- Prototype validation
- Codebase modernization
- Engineering handoff
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Alternatives
Last updated 2026-09-16