Writing code got 10x faster. Shipping stayed the same speed.
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The queue
Every change goes through engineering. A PM specs a feature in an afternoon, then watches it wait in the backlog for a quarter.
2
The wrong stage got faster
AI coding tools make your engineers faster. Only engineers can ship, so the backlog keeps growing anyway.
3
Prototypes that go nowhere
App builders produce demos that can't touch your real codebase. The work gets redone from scratch, or dies.
The fix
Product and design build it. Engineers approve it.
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Built into your real codebase
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The people who spec it, ship it
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A second lane to production
How it works
Connect your codebase. Run a task. Get a PR.
Fei Studio is the operating layer between a product idea and your production codebase. Product and design run the tasks. Engineering approves every merge.
Codebase ingestion
Your real stack. Understood in under 2 minutes.
Fei Studio plugs into your repo and models how your engineers write code - components, standards, design system, APIs, hooks, and architecture - so every task is built like your team would, not a generic AI template.
Connect your git provider, no manual config
CSS, API, SSO, DB connections - all ingested
Self-updating as your codebase evolves
Task Execution
Turn ideas into production-ready product updates
Fei Studio takes raw product ideas, whether from prompts, screenshots, or Figma, and turns them into codebase-aligned variants and testable implementation options before generating production-ready output.
Any input - PRDs, screenshot, tickets, Figma etc
Break ideas into structured plans based on your infra
Translates plans into real system changes & PRs
Production Grade
Handoff output engineering can actually review and ship
Every task produces production-ready code, a clean PR, and full specs, all built to match your codebase, so engineering reviews and merges.
Production quality code generated to your standards
Clean PRs ready for engineering review
Full specs and change history for complete context
Why not just use Claude Code, or any coding agent?
Same starting point. A coding agent leaves the work with engineering. Fei Studio leaves them one click.
A coding agent
Your PM describes the change→It writes the code→Then an engineer sets up the environment, reviews it, and ships it.
Fei Studio
Your PM describes the change→Fei writes it, renders it, and validates it→Fei opens a PR→Your engineer clicks approve.
Inside the OS
Six capabilities, perfectly orchestrated.
Codebase Ingestion
Connects to your Git repo and automatically maps CSS conventions, API patterns, hooks & events, third-party libraries, project architecture, and rendering config — in under 2 minutes.
Task Execution
One task request triggers up to 40+ internal agent steps. Fei handles the orchestration end-to-end. Pricing is per-task - not per step, not per seat.
Triple Output Per Task
Every completed task produces a visual prototype, production-quality code written to your org's actual standards, and a full spec doc plus pull request ready for engineer review.
Agent Knowledge Hub
As your codebase evolves, Fei updates its understanding in near-real time. Agent context stays current without any manual maintenance or re-ingestion.
Self-Updating
Spot issues, apply fixes, add validations, and push features forward by resolving problems directly instead of handing off work to developers
Explorer Mode
Coming Soon
Planned connectors to Amplitude, Mixpanel, and call recordings - giving agents business-level context, not just technical context. So the AI knows why a feature matters, not just how to build it.
Our own product, our own codebase
Our product team. Zero code written. 100% merged.
Our product team has opened 50+ PRs against our production codebase, writing zero code. An engineer approved every merge.
Ready to ship your first feature without the queue?