Context-aware summaries
A plain-language summary of what the pull request does and why — grounded in the diff and the files around it.
// ai pull request review
Automated AI pull request review, on every PR.
ReviewIQ reviews every pull request automatically — summary, inline findings, committable fixes and an approve / request-changes verdict — with the cross-file awareness a single-file linter can never have.
Manual pull request review is the bottleneck in most teams: reviewers are busy, the first pass is repetitive, and subtle cross-file bugs slip through. AI pull request review fixes that by giving every PR an instant, thorough first review — so humans spend their time on architecture and intent, not on catching a missing null check.
ReviewIQ reads each pull request the way a senior engineer would: the change, the files it touches, and how they fit together. It posts a summary, severity-ranked inline comments, one-click committable fixes, and a merge verdict — then runs eight security and quality analyzers that can block a risky merge.
What every review includes
Inline AI comments
Severity-ranked, line-by-line findings posted on the exact code that needs attention.
Committable suggestions
One-click, apply-ready fixes — the feature developers actually use to turn a review into merged code.
Approve / request-changes verdict
A clear merge recommendation on every PR, with quality and security gates that can block a risky merge.
Incremental re-reviews
Push a follow-up commit and only the new changes are re-reviewed — no re-litigating what was already approved.
PR chat & Q&A
Ask anything about the change and get an answer grounded in the diff and surrounding code.
AI pull request review on your platform
AI pull request review FAQ
- What is AI pull request review?
- AI pull request review uses a large language model to automatically read every pull request — the diff plus surrounding code — and post a summary, inline findings, suggested fixes and an approve or request-changes verdict, the way a senior reviewer would, but in seconds.
- Which platforms does ReviewIQ support?
- GitHub, GitLab, Bitbucket (Cloud & Data Center) and Azure DevOps — with the same automatic reviews, committable fixes and merge gates on each.
- Does it replace human review?
- It augments it. ReviewIQ handles the repetitive first pass — style, bugs, security, cross-file impact — so human reviewers focus on architecture and intent.
- How is this different from a linter?
- A linter looks at one file at a time. ReviewIQ reads the change in the context of the whole repository, so it catches multi-file bugs — a tainted value that only becomes dangerous three files away — that single-file tools miss.