A montage of StellarView at work: a codebase drawn as galaxy rings, a spray pass over the fields in 3D, the Stellarverse star map.

Scared of the cloud? Unsure about Scrum or Agile?

Your documents in. A running, supported company out.

StellarView builds complete platforms and deploys them to the cloud, where they run with support. Two documents in, a running product out →

Who are you?

New, Oct 12: Agents in the ceremonies you already run: one sprint, on the record

You no longer have to master GitHub, Jira, Confluence and every cloud console to use them.

StellarView brings them to your fingertips, in plain words, at the step you are on.

Our mission

Giving life and vision to the Software Development Lifecycle for everyone, as the foundation for working faster with AI agents in the modern enterprise.

This is why we built it. We could not keep up, and learning every technical detail was overwhelming us. We want to orchestrate the work, not operate every lever.

Agents write the code now, and more consistently than we do. The difference is the practitioner who guides them from above: PractiCAI is for that person, the SDLC gives us the subjects, and StellarView amplifies them.

Why, and who it is for →

Project Manager: picked for you

Start here for project managers →

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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 →