•CrossCheck team
Coming soon
Auto-merge is fine, actually: when to trust your AI reviewer
The case against keeping a human in the loop for every PR — and the narrow set of conditions under which auto-approve and auto-merge are the right call.
Notes from the team building CrossCheck.
The case against keeping a human in the loop for every PR — and the narrow set of conditions under which auto-approve and auto-merge are the right call.
Running AI review as a GitHub Actions step looked obvious. Then we shipped it and watched it fall over. Here's what pushed us to a managed SaaS architecture.
Six patterns that work, four that don't. Distilled from watching thousands of statements run against real PRs across data-engineering, web, and infra repos.
Most AI reviewers grade your code against a generic rubric. Statement-based review flips that — your team writes the rubric, and every PR is judged against it.