NOEA CODE · REVIEW WITH INTENT

AI built it.
Did it get it right?

From product rules and architecture to algorithm logic, review how AI responds to your requirements. Check the implementation and evidence, understand important choices, and carry your decisions into the next iteration.

macOS · Windows · Linux

Product rules · Refine intent before accepting changes01 / 03
Real product UI · Adapted from Noea’s own specification

Understand this implementation.
Decide what comes next.

Once the Agent finishes, start with the requirements that matter to you.
Inspect the implementation and evidence, then write your decisions back into intent.

Capture the requirements that matter. Review and confirm your intent so implementation and investigation have a clear basis.

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Example · Habit trackerView full size ↗

Start reviewing with one rule that matters.

Open an existing project and write down a requirement to check.
Start with a product rule, an architectural constraint, or algorithm logic.

  1. 01
    Open your project

    Keep using your existing implementation folder.

  2. 02
    Choose your Agent

    Connect and get ready inside the app.

  3. 03
    Set the review basis

    Keep requirements alongside implementation and evidence.

Follow your requirements
to the choices in the implementation.

Review both the requirements you specified and the decisions the Agent made where you left things open.

01 · Understand choices

What did the Agent decide for you?

From rewards to storage, see how the implementation takes shape.

02 · Check requirements

Were your explicit requirements met?

Follow intent to implementation and evidence to find gaps and unverified assumptions.

03 · Make decisions

What needs your judgment?

Examine choices affecting experience, risk, and cost, then write important decisions back into intent.

Decisions from this review
guide the next implementation.

Keep confirmed requirements in your own files and continue with the Agents you know.

01 · Languageprose + C4 + DSL + code

Your language

Natural language, DSLs, modeling languages, code. Mix them freely.

02 · Files*.noea.md

Your files

Intent lives in plain Markdown. Manage it with Git and maintain it in any editor.

03 · AgentACP / agent adapters

Your agent

Keep using the coding agent you’re used to. Noea doesn’t replace it.

If you’re responsible for the software,
this is written for you.

Senior engineer

Something is broken in production. Everyone in the meeting room looks at you: “Why does this logic work like this? You explain it.”

Do you really own this system, or are you just the agent’s “meat proxy”?

The agent wrote the code, but you’re the one held accountable. You explain it on the agent’s behalf, yet you can’t say why it is the way it is.

How Noea helps

Follow one intent to its current implementation, check the evidence, and see what is still uncertain. What you explain is what you actually understand.

Tech lead / CTO

2 a.m., production is down. The only person who could read that code left last month. All they left behind is a chat log of four hundred turns.

Do you really control this product, or are you just watching it drift out of control day by day?

Engineers can’t review thousands of changed lines every day, so they wave them through, and hidden bugs stay in. When someone on the team leaves, that code turns into a bomb nobody can defuse.

How Noea helps

What Noea leaves behind is a document people can read directly, with the reason written next to every sentence. It doesn’t rely on anyone’s memory or hide inside one session. When people leave, the team and the product are still on the record.

Founder / solo company

A paying user messages you: “Why is a column missing from my export?” You stare at the screen and can’t tell whether it’s a bug, your design, or a choice the agent made for you.

Are you really building a company, or just consuming a product a coding agent made for you?

You only learn what your product does from your users. AI quietly made hundreds, even thousands, of choices and slowly rewrote a product you thought you had created.

How Noea helps

Trace a user’s question straight to the intent and implementation behind it, separate your product decisions from the agent’s choices, and take back the ones that truly matter.

Things you might ask.

What does a review cover?

Starting from your explicit intent, review how the implementation meets requirements, what evidence supports it, and which choices or uncertainties need your judgment. This can cover product rules, architectural constraints, or algorithm logic.

Do I need a complete specification first?

No. Start with one requirement that matters. Refine it through conversation or edit Markdown directly, then examine the implementation and evidence.

Does it work with existing projects?

Yes. You don’t have to move your whole codebase into Noea first. Write intent only for the parts you care about most; the agent keeps implementing the rest as before.

Will the agent change the intent I wrote?

Your Agent can propose changes to intent. Review and adjust them; they enter the intent document only after you accept.

What format are intent files?

Plain Markdown files ending in .noea.md. Any editor can open them, and they go into Git.

Does reading the explanation mean it is safe to ship?

Explanations and investigation results provide traceable evidence, not a guarantee of correctness. Review code, tests, and runtime results according to risk, and make the final judgment yourself. Noea works with your Coding Agent.

What happens the first time I open it?

If no coding agent is available, the app walks you through choosing, installing, signing in and verifying one. The first verification downloads a runtime, and the app tells you how large it is.

Does Noea collect my data?

Error reports and usage statistics are two separate switches, on the Privacy page in Settings. Only fixed categories of action events are collected, never your text, files or paths.

Start with one review.
Keep your decisions working.

Available for macOS, Windows and Linux. Choose your platform to get started.

macOS

DMG

macOS 13+

Apple silicon ARM64

v0.6.3

Intel Macs are not supported yet.

Windows

EXE

x64 / ARM64

x64 Intel / AMD

v0.6.3

ARM64 Windows on ARM

v0.6.3

Choose x64 for Intel / AMD, or ARM64 for Windows on ARM.

Linux

AppImage / .deb

glibc 2.34+

x86_64 Intel / AMD

v0.6.3

ARM64

v0.6.3

AppImage for direct use; .deb for Ubuntu / Debian.

Public beta; features are still evolving