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02 / Project Auto-Setup

Connect your repo. Go live, gated, in under an hour.

Connect your SCM — GitHub first, GitLab and Bitbucket next — and the AI reads and understands your repositories: the services, the databases, the queues, and how they connect to each other. It proposes a deploy plan you approve, generates the pipelines, and brings everything up in your secure cloud.

The gate

Every deploy passes through a security gate.

Exposed credentials, dangerous misconfigurations and critical vulnerabilities block the pipeline — before production, not in a report afterwards. AI triage tells a real leak from a placeholder, the fix arrives as a pull request, and every release leaves signed evidence.

deploy #1043 · main @ 8f2c1d9
→ analyze: 2 services, 1 database, 14 env vars · 38s
→ build: image pushed to your registry · 1m 12s
✗ gate: AWS key exposed in config/prod.env:14
  AI triage: real credential (not a placeholder) · 98%
✓ fix PR #482 opened · secret moved to vault
✓ re-scan clean · live on your AWS · evidence signed

What you get

Understanding, not guessing.

01
Zero-config by comprehension
The AI reads your code like a senior engineer — no rigid conventions, no forcing your repo into a template. You review the plan like a PR.
02
Connections become security
The dependency map between services becomes network topology: only declared connections can talk. Everything else is closed by default.
03
Pipelines generated for you
CI/CD created in your repos, deploy state in your GitHub org. Push to main; the rest happens — behind the gate.
04
Migration without the project
Leaving Heroku, Render or an agency setup? We reproduce it as clean, versioned infrastructure in your account — value on day one.

Your repo is ready.

GitHub connected to live production, gated and evidenced, in under an hour.