# Revix AI > Teams now ship more code than anyone can read. Revix reviews every pull request against the standards the team already follows. It derives those review rules from the patterns in the repository itself, so nobody has to write a rulebook first. After each merge it reads the change again and updates the rules, so the standard it enforces tracks the codebase instead of freezing at onboarding. Native support for GitHub, Bitbucket, and GitLab. Azure DevOps is not supported. Revix (revix.ai) is not affiliated with revix.tech or the Revix AI study and Roblox-related apps that share the name. ## Product - [Home](https://www.revix.ai/): Senior-level code review on every pull request, against rules extracted from the team's own repository. - [Pricing](https://www.revix.ai/pricing): Per-seat plans for GitHub, Bitbucket, and GitLab teams, all with a 14-day free trial and no card required. Starter is 20 EUR per seat per month billed annually, or 25 EUR billed monthly. Pro is 40 EUR billed annually, or 50 EUR billed monthly, and adds Jira and Slack integrations, faster reviews, and priority support. A free Open Source tier covers public repositories. Enterprise is a custom annual contract with SOC 2 Type II and ISO 27001 certification, granular roles and permissions, custom MSA and DPA, and direct support from the engineering team. Prices as of July 2026. - [AI Code Review for GitHub](https://www.revix.ai/github-code-review): Native GitHub pull request reviews checked against rules extracted from the repository. Revix installs as a GitHub App and reacts to pull request webhooks, so reviews consume no Actions minutes, need no workflow file, and need no bot account. Repository access is chosen at install time and revocable from GitHub settings. - [AI Code Review for Bitbucket](https://www.revix.ai/bitbucket-code-review): Native Bitbucket pull request reviews checked against rules extracted from the repository. Reviews run from Bitbucket webhooks, so they need no Pipelines, no build minutes, and no bot account. Bitbucket Cloud is supported today. Data Center and Server are not. - [AI Code Review for GitLab](https://www.revix.ai/gitlab-code-review): Native GitLab merge request reviews checked against rules extracted from the repository. Revix listens to merge request webhooks, posts findings as discussions on the diff, and writes a summary into the merge request description, so reviews need no CI/CD minutes, no pipeline changes, and no bot account. Connecting a group needs the Maintainer or Owner role. GitLab.com is supported today. Self-Managed and Dedicated are not. - [About](https://www.revix.ai/about): The team and story behind Revix AI. ## Blog - [Blog](https://www.revix.ai/blog): Guides, comparisons, and product notes from the team building Revix AI. - [Cubic alternatives: 6 AI code review tools compared](https://www.revix.ai/blog/cubic-alternatives): Compare 6 Cubic alternatives for AI code review. See where Cubic wins, why teams look past it, who each tool fits, and prices checked October 2026. - [Qodo alternatives: 6 tools compared](https://www.revix.ai/blog/qodo-alternatives): Compare 6 Qodo alternatives for AI code review. See who each one fits, where Qodo still wins, and prices checked October 2026. - [Jev 1.13: decision points in AI code review](https://www.revix.ai/blog/decision-points-ai-code-review): Jev 1.13 as a decision model for AI code review: small yes/no and pick-one judgments with calibrated probabilities, instead of one mega-LLM owning every review step. - [When review leaves the pull request: agent threads vs diff-only review](https://www.revix.ai/blog/review-without-prs-agent-threads): Zed Delta disabled PRs on its own repo and landed about 570 changes in shared agent threads. Why diff-only review breaks when agents write most of the code, and what still matters on any surface. - [More PRs, slower merges: when acceptance becomes the bottleneck](https://www.revix.ai/blog/more-prs-slower-merges): AI agents raise pull request volume while merge time climbs. Why evenly confident diffs stretch review thin, and why acceptance is the scarce resource now. - [AI code review in Slack: get the nudge, keep the PR](https://www.revix.ai/blog/ai-code-review-slack): AI code review in Slack should DM the person who needs to act, not dump comments into a channel. How Revix does it on Pro, what ships today, and when to skip Slack. - [Greptile alternatives: 6 tools, plus free and open source options](https://www.revix.ai/blog/greptile-alternatives): Compare 6 Greptile alternatives for AI code review. See who each one fits, the tradeoffs, and prices checked October 2026. Includes free and open source options. - [Introducing Free AI Code Review for Open Source Projects](https://www.revix.ai/blog/free-ai-code-review-for-open-source): Revix AI is now free for public repositories. Open source maintainers get repo-aware AI review on up to 3 public repos, with no card and no expiry. - [What We Found When We Tabbed Through Our Own Site](https://www.revix.ai/blog/fix-focus-states-claude-code): Have you ever tabbed through your own website? We did it on Revix, found multiple broken focus states, and fixed all of them in about an hour with three Claude Code prompts and one token. - [Most Pull Requests Are Already Fixed Before a Human Opens Them](https://www.revix.ai/blog/fixed-before-review): In July we reviewed 322 pull requests. Developers fixed 96% of the issues they engaged with, most of them before human review. By the time a reviewer looked, there was nothing left to catch. - [CodeRabbit alternatives: 6 tools compared](https://www.revix.ai/blog/coderabbit-alternative): Compare 6 CodeRabbit alternatives for AI code review. See who each one fits, where CodeRabbit still wins, and prices checked October 2026. - [What Is AI Code Review and How Does It Work?](https://www.revix.ai/blog/what-is-ai-code-review): 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. - [Is AI Code Review the New Standard, or Just Hype?](https://www.revix.ai/blog/is-ai-code-review-the-new-standard-or-hype): AI code review catches convention drift and speeds up first-pass review, but it isn't a replacement for human judgment on architecture and design decisions. - [Introducing Jira Context, Reviews That Know Why the Code Was Written](https://www.revix.ai/blog/introducing-jira-context): Revix AI now finds the Jira ticket behind every pull request, reviews the code against what the ticket asked for, and updates the ticket when the PR merges. - [Repo-Aware AI Code Review vs. Diff-Based Review](https://www.revix.ai/blog/repo-aware-vs-diff-based-ai-code-review): Most 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. - [How to Write a Great PR Review Comment](https://www.revix.ai/blog/how-to-write-a-great-pr-review-comment): Most PR comments waste the author's time because they never say what they actually want. Here is the four-part format that fixes that. - [What 200 Pull Requests Taught Us About AI Code Review](https://www.revix.ai/blog/200-pull-requests-ai-code-review): After 200 PRs reviewed by Revix AI, 70% of comments flagged real issues and 129 merge analyses produced 87 new rules. Here's what the data says about where AI code review is headed. - [Introducing Revix AI, a Code Review Companion Built for the AI Coding Era](https://www.revix.ai/blog/announcing-revix): 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. ## Legal - [Terms](https://www.revix.ai/terms) - [Privacy](https://www.revix.ai/privacy)