Any AI can generate code. The Product Harness knows yours like your 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.
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.
We build the Product Harness 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.
Product & Market Signals — analytics, support tickets, customer calls, and roadmap, indexed alongside the code, so the harness knows why a change matters, not just how to make it.
Every run draws on the same deterministic context — stable, reproducible, and current as your codebase evolves. Every merged PR deepens it. Turn one hundred and one is faster and safer than turn one hundred.
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
EmptyLoadingError
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 a product team can take a question about your customers to a merged PR in a codebase they've never opened.
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.
The technology is half the story.
The Product Harness is what we build. Autonomous Product Delivery is what it makes possible: product teams running the whole loop, from a question to a merged production PR, as one system that compounds with every merge.