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Better Delivery,
Built with Autonomy.

Turning product managers and product designers into product builders.
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The problem

Writing code got 10x faster.Shipping stayed the same speed.

1The queue

Every change goes through engineering. A PM specs a feature in an afternoon, then watches it wait in the backlog for a quarter.

2The wrong stage got faster

AI coding tools make your engineers faster. Only engineers can ship, so the backlog keeps growing anyway.

3Prototypes that go nowhere

App builders produce demos that can't touch your real codebase. The work gets redone from scratch, or dies.

Why not just use Claude Code, or any coding agent?

Same starting point. A coding agent hands the work back to engineering. Fei Studio hands them one click.

A coding agent
Fei Studio
Your PM describes the change
…waits in the engineering queue
It writes the code
…waits for an engineer to pick it up
Your engineer's plate
Sets up the environment
Reviews and fixes the code
Ships it
…the result misses what the PM actually meant
Round two, back through the queue
Your PM describes the change
minutes later…
Fei writes it, renders it, and validates it
Fei opens a PR
Your engineer clicks approve.
That's the whole path.
Work bounces back to engineering
Ships with one approval
NEW · MCP Server

Fei Studio now works inside any AI agent.

Claude Code, Cursor, or any MCP client — wherever your team already works, Fei Studio's delivery layer is one connection away.

Read how it works →

The fix

Product and design build it.
Engineers approve it.

1
Built into your real codebase
2
The people who spec it, ship it
3
A second lane to production

Connect your codebase. Run a task. Get a PR.

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
Codebase ingestion — Fei connecting to Libs, CSS, API, SSO, DB, and Hooks

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
Task execution — 36+ orchestrated steps per task with transparent output

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
Production-grade code — typed, lint clean, generated to your standards

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?

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