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Any AI can generate code.
Our Delivery Layer knows yours
like a senior engineer.

Every AI coding tool runs on the same frontier models. What decides whether the output ships is everything around the model. We build that environment so a PM or designer can ship to your production codebase.
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But what about Claude Code, Cursor, Copilot, Devin
and the others?

Every tool demos well. Most stumble on a real codebase.
On real code, results are decided by context.

Which component to reuse

Which token to apply

Which convention the reviewer expects

The model is rented.
The environment is built.
Within the Delivery Layer we built a harness. Actually, we build it twice: inside your codebase, and in our lab, where it's sharpened every day.

BUILD ONE — INSIDE YOUR CODEBASE

ACE: how Fei Studio knows your system.

ACE is the context engine underneath Fei Studio — it reads your real system so every change is built the way your team builds.
  • API Services — models how services expose and exchange data.
  • Execution Model — turns runtime behavior into structures Fei Studio can reason over.
  • System Artifacts — normalizes build outputs, design tokens, and docs into one model.
  • Source Systems — indexes repos, specs, and design files into the system graph.
Every run draws on the same deterministic context — stable, reproducible, and current as your codebase evolves.

Verified output

It looks at the screen before it asks you to.

Context gets the change written right. Verification proves it.
Boots your app → Renders the change → Compares against the spec, until it matches
Every state checked before the PR opens
Empty Loading Error
What reaches your engineer is already verified.

BUILD TWO — IN OUR LAB

Two harnesses. One never ships.

Your harness
Lives in your codebase. Ships your changes.
←innovations ship in
failures become evals→
Our Lab
Judge-based evals run continuously. Our engineers' judgment becomes automated checks.
The harness running next month is sharper than the one running today.
All of it exists so someone who's never opened your repo — a PM, a designer — can ship a change that fits it.

Built for Enterprise - Guardrails built in.

Work on real code without compromising it

Private by Design

AutonomyAI runs entirely within your infrastructure, so no code or data ever leaves your environment.

SOC 2 Certified

Audited controls ensure security, availability, and confidentiality across all enterprise deployments.

Complete Governance

Control access, permissions, and data residency with full auditability and policy enforcement at every layer.

Our own product, our own codebase

A PM. Zero code written. 100% merged.

Our own PM has opened 50+ PRs against our production codebase, writing zero code. An engineer approved every merge. 160+ product teams build on Fei Studio, and none have ever churned.