ADDOM Local-first AI coding cockpit

Private alpha

Direct collaboration, small surface area.

ADDOM is being shaped with a small number of serious users first. The current path is private alpha and design-partner collaboration, not a broad public rollout.

Who this is for

The alpha is for technical users with real workflows.

Good fit

Solo developers real codebases
Small product teams feedback-rich workflows
Agencies controlled client work
Privacy-sensitive builders local-first preference

Not the target

This is not aimed at casual chat users, teams expecting a polished mass-market product immediately, or anyone looking for a fully hands-off autonomous coding system.

The point is serious workflow fit, not broad consumer reach.

Design partner

Direct collaboration for teams with real workflows.

Design partner Early access, direct contact

ADDOM is being shaped with a small number of serious users first. This path is for teams and developers who want early access, direct contact, and a tighter feedback loop around real repository work.

What you get Direct collaboration

Private builds, direct builder communication, early access to new capabilities, and meaningful input into the workflows that matter most to you.

What ADDOM needs Real usage

Real usage, clear feedback, reproducible issues, workflow pain points, and honest reporting from actual codebase use.

Collaboration structure Discussed directly

Collaboration structure is discussed directly once workflow fit is clear.

Process

How the alpha path works.

Step 01

Start with the form

Describe your stack, team size, and where current AI tooling breaks down for you.

Step 02

Check workflow fit

If the use case aligns, move into a short conversation or direct async follow-up.

Step 03

Get a private build

Use ADDOM on real work, not synthetic demos.

Step 04

Iterate tightly

Report friction, bugs, and workflow gaps so the product can improve in the right direction.

Start with a conversation

If your current AI coding setup feels too opaque or too shallow, this is the right stage to talk.

Private alpha exists so the product can be improved with high-signal users before broad exposure.