The challenge
The promise of AI coding agents is real, but running them safely at team scale is hard: they need isolated environments, access to the right repositories, and a workflow that produces reviewable pull requests rather than a pile of unvetted changes. Most teams cannot stand that up themselves.
The brief was to turn autonomous coding from a local experiment into a dependable cloud service - one that plugs into existing Git hosts and respects how engineering teams already work.
What we built
We built CodeCourier through our AI integration consulting and custom SaaS development practices. Each agent runs in an isolated E2B cloud sandbox, connects to GitHub, GitLab or Bitbucket, and can draw on both OpenAI and Anthropic models depending on the task. The stack runs on Bun and TypeScript.
The product was designed for teams from day one: bilingual EN/DE UI, SAML SSO for organisations, and an automation-first workflow where agents open reviewable pull requests instead of pushing directly.
The result
CodeCourier shipped as a working cloud platform where a team can dispatch AI agents against real repositories and receive pull requests to review - autonomous engineering with the guardrails a real org needs.
See the live platform at CodeCourier.
Stack highlights
Scope
Design, engineering and launch - owned end to end by AETHER Digital.