Product launch · StellarView alpha · Oct 25, 2026

StellarView is in alpha

StellarView builds a company's cloud, pipeline, board, tests, documentation and training films, then runs them. This is the film it made of itself: One of a billion.

The dares

The launch, with every film →

The film ends on a dare

Or dare us.

Our launch film ended on a dare: bring us the project nobody has started. These are the dares so far, and how far each one has got.

  • Open

    Dare 2: Bring your biggest idea

    The biggest idea you know would help people, one you could sell in your own circle. You do not have to build it.

    Set by Joey · 2026-10-29

    Take the dare →
  • Answered · 6 of 7 steps

    Dare 1: The Municipath Dare

    A platform for a whole interstate corridor, from a blank page to traced requirements and a working proof of concept.

    Set by StellarView, at its own launch · 2026-10-25

    See it answered →

Every dare →

The big build

Municipath

Road operations, safety and funding for a whole corridor, worked from a blank page into a proof of concept that runs. The build is next.

The modules

  • The Inflector Designed, walked in 3D

    A road reflector that feels the road.

  • The Corridor Anchor In the proof of concept

    An AI presenter that works the app’s own screens.

  • New Smyrna Beach In production

    A hospital campus with its data center, plus a drone airport for the city and its crews.

Next

A week on the Conductor, with Roger Rodger in charge. Target, no date yet

Who are you?

Developer Seeker: picked for you

Start here for developers →

Platform Visionary: picked for you

Start here for platform visionaries →

Project Manager: picked for you

Start here for project managers →

Investor: picked for you

Start here for investors →

Kept in your browser only. Nothing is sent.

How long have you got?

  1. 1 min

    Welcome to PractiCAI

  2. 2 min

    What PractiCAI is, and StellarView

  3. 5 min

    The longer take, with a demo

  4. 10 to 20 min

    The full detail

How it works, in six steps

  1. StellarView reading a codebase as rings, one ring per architectural layer, every system labelled.

    01

    See it

    It reads a codebase out of its own repository and draws it as rings, one ring per architectural layer, every system labelled.

    Watch: Ring, the rudiment · 0:42 → Source: The Rings →

  2. One epic opened into the work: ten phases, one hundred and six work units, eight hundred and forty-eight hours.

    02

    Plan it

    Your documents go into the Big Bang. On the RealWorld Conduit build, one document came out as a full plan, and every question it would not answer for itself went to a person.

    Watch: The plan, and its questions · 5:06 → Source: StellarView Alpha, part one →

  3. Phase four stacked on phase three.

    03

    Build it

    The phases run unattended on your own repositories, a branch and a pull request per phase, each stacked on the one before.

    Watch: The run · 3:24 → Source: StellarView Alpha, part three →

  4. The launch report: seven units on one timeline, FABERI-341 held at sixteen of seventeen.

    04

    Launch it

    It deploys to the cloud, and a launch can say no: one unit was held at its checks while the others went.

    Watch: Launch day · 5:36 → Source: Show HN: the whole horse →

  5. The Agent Room: Sue opening a launch, the seats down the right, the launch on the shared screen.

    05

    Run it together

    People and agents work in the same rooms on one record. In the sprint’s meetings, a claim that does not cite a fact is struck before it is said.

    Watch: One sprint · 7:27 → Source: Every claim cites a fact →

  6. The support desk running on the operated build.

    06

    Hand it over

    It stays on your repositories, your issues, your board and your wiki. The published RealWorld suite passes thirteen of thirteen, and it comes with its own support desk.

    Watch: Operated · 3:41 → Source: StellarView Alpha, part five →

The skill first, then the app

Few AI products connect what they do to the knowledge of the SDLC. Ours are worked examples of it, and the skill comes first.

It is still you.

AI writes code. A chatbot will not build an enterprise, and the SDLC will not learn itself.

Bring your documents Start learning Bring your documents See one sprint, on the record Talk to Joe Why we built it →