Design partners
Run Moonray AI on your real pull requests.
The fastest way to evaluate a code reviewer is to install it on one repository, open normal work, and read the position it takes. We are working closely with a small number of teams who want that level of evidence before they roll it out wider.
Who this is for.
Moonray AI is most useful when there is enough code, enough review load and enough risk for an evidenced merge position to matter.
- You review pull requests in GitHub and have at least one repository with regular product work.
- You can give Moonray AI access to a staging or preview environment for browser evidence.
- You care more about merge confidence than about another list of comments.
- You can spend one short session with us after the first real pull requests are reviewed.
Start with one repository.
We install Moonray AI on a repository you choose, run it on normal pull requests, and walk through the first assessments with you. You get early pricing, a direct line to the people building it, and influence over what ships next.
Book a demo and bring a repository you want to test.
See it on your own pull requests.
We install on one repository, let Moonray AI assess the next changes your team opens, and go through what it found with you. If the position is not better than what you have now, you will know within a week.
Nothing to host. Reviews begin on the next pull request opened.