AutonomyAI is the operating system for building in production and the first AI-powered platform for product teams. It enables teams to build and ship features directly inside existing codebases and design systems, turning product decisions into production-ready outcomes, with fewer steps, faster execution, and no handoffs. Trusted by 100+ product teams building in production.
Intent
I need it when
Reduce engineering bottlenecks by empowering non-technical product and design roles to contribute code
AutonomyAI provides a UI-driven interface requiring no IDE, terminal, or coding knowledge. Product managers and designers can describe changes in plain language or upload tickets/Figma, and the platform generates code aligned to the team's standards—freeing engineers from routine implementation work.
Improve existing product features and refine UX without rebuilding from scratch
Fei Studio ingests your codebase and understands your architecture, components, and design system. Product teams can modify existing screens and flows directly within the real product code, preserving structure and logic while iterating on UX—avoiding costly rewrites.
Enable designers to prototype and validate ideas in the actual product environment
Designers can input Figma designs or descriptions and Fei generates production-grade code that matches the team's design system and component library. This bridges the gap between static mockups and real, testable implementations within the actual codebase.
Maintain consistency across product updates while modernizing legacy interfaces
Fei automatically ingests and reuses existing components, design patterns, and architecture standards. When refactoring legacy UI or applying design system updates, the platform ensures new code follows established conventions, reducing drift and technical debt.
Ship production-ready features faster without waiting for engineering handoffs
AutonomyAI connects product decisions directly to the codebase, turning product ideas into production-ready pull requests that engineers can review and merge. This eliminates spec-to-code translation delays and reduces feature delivery cycles by enabling product and design teams to build directly in the real product environment.
Drop
Not a fit when
User needs to build greenfield applications from scratch without existing codebase infrastructure
Organization requires per-seat licensing model instead of per-task consumption pricing
Team works exclusively with static prototyping tools and has no production code repository to connect
Project involves non-web technologies or frameworks outside AutonomyAI's supported stack
User needs real-time collaborative editing for multiple simultaneous contributors on the same task