I gave an AI dev team my codebase and went to sleep. Here's what happened.

#ai #webdev #programming #productivity

I'm a solo dev in Brisbane. I've spent the last year building Alphinium — an autonomous AI development team that runs on your GitHub repos.

Not a Copilot. Not an autocomplete. A full team.

Product Owner → Scrum Master → Developer → QA → DevOps. Running what I call Agentic Scrum — 24/7. It picks up issues from your backlog, plans sprints, writes code, runs reviews, tests, and deploys. Autonomously.

The part I didn't expect: I've been using Alphinium to build Alphinium.

ChatInstance (chatinstance.com) — my AI chat platform — was built almost entirely by the agent team.

The trivia app I use as a live demo was built by the agents from scratch and deployed to production through the full Agentic Scrum pipeline:
👉 trivia.user-pods.alphinium.io
👉 Full git history from e2e tests (agent commits): github.com/redsitesoftware/trivia-night-e2e

The loop most "autonomous dev" tools miss is testing.

Anyone can generate code. Knowing if it works is the hard part.

I built Valerie — a headless browser agent that runs automated visual and functional tests on every deployment. She catches regressions, screenshots failures, reports back to the team. The agents fix. Valerie retests. No human in the loop.

Code → Review → Deploy → Test → Fix → Redeploy. End to end. Unattended.

This scales to large monolithic codebases — the kind where human QA teams spend weeks on regression testing. Valerie runs it in minutes on every PR.

I'm opening Founders Mode today.

Locked early adopter pricing: