Introducing Revix AI, a Code Review Companion Built for the AI Coding Era
Revix AI learns your team's conventions from your entire codebase, then reviews every new PR automatically to catch what doesn't match your standard.
Today, we're launching Revix AI.
AI has made writing code dramatically faster, and it has left teams with more code to review against the same standard. Senior engineers who used to spend their time building now spend most of it reviewing, catching the same kind of thing over and over: code that doesn't follow how the repo actually works.
Revix AI connects to a repo in minutes and learns your team's conventions from your entire codebase, extracting the patterns and standards you already follow into rules. From there, it reviews every new PR against that standard automatically, catching what doesn't match before a person has to.
A few things it does on its own:
- Summarizes every PR, with a risk level, the moment it opens
- Labels every comment using Conventional Comments, so it's clear what's a blocker and what's a nitpick
- Reads the linked Jira or Linear ticket, so it checks the code against the real intent, not just the style
- Turns every fix into a rule and keeps improving over time, so it never explains the same thing twice
In a 30 day pilot with a real production team, review time dropped 44%, more PRs shipped in the same window, and more issues were caught before they reached main.
- less time spent reviewing
- 44%
- more PRs shipped per window
- +31%
- more issues caught before main
- +58%
The effect shows up differently depending on where you sit. Seniors spend less time reviewing. Juniors get instant feedback and ship faster, without waiting on someone else's calendar.
Revix AI works with GitHub and Bitbucket today, GitLab is coming. Your code is never used to train models, every run is isolated, and nothing is kept afterward. Every team starts with a 14 day free trial, no card required.
Since launch we've kept writing about how each piece works. What AI code review is and how it works is the plain introduction to the category. The four-part shape of a review comment is the format Revix follows on every PR. Repo-aware vs. diff-based review covers what a reviewer catches once it reads the whole codebase instead of the patch. And Jira Context is what happens when it can read the ticket behind the branch too.
Connect a repo and see the difference on your next PR: revix.ai
Keep reading
- What Is AI Code Review and How Does It Work?How AI code review works stage by stage, what it reliably catches, where it fails, and the one difference between tools that decides what yours can find.
- Repo-Aware AI Code Review vs. Diff-Based ReviewMost AI code reviewers only read the pull request. The ones that read the whole repo catch what a diff alone can't, like broken conventions, duplicate abstractions, and architectural drift.