Reviews respect your project's coding standards

The AI now reads your project's CLAUDE.md, .cursorrules, tsconfig.json, and ESLint config to understand your team's conventions. It flags violations as warnings — no more suggestions that contradict your own rules.

Import-aware code understanding

Reviews now fetch the types and interfaces imported by changed files. The AI can verify that your code uses the correct type signatures, function parameters, and interface contracts — catching real bugs that require cross-file context.

Smarter confidence scoring

Confidence scores are now calibrated with clear anchor points, from 'provably wrong' (10) to 'possible concern' (5-6, not reported). This reduces noise and ensures every comment is worth your attention.

Automatic context budget management

For large PRs with lots of context, the AI now intelligently trims lower-priority context to stay within limits — your diff and project rules always fit, while nice-to-have context degrades gracefully.

Per-repo learning from feedback

Reply to any bot review comment to teach the AI your team's conventions. Future reviews on that repo will respect what you've taught it — fewer repeated suggestions, more relevant feedback.

Learnings dashboard tab

A new Learnings tab on each repo's detail page shows everything the AI has learned from your team's feedback, so you can see exactly what conventions it knows about.

Analytics dashboard with KPI cards and charts

See total reviews, success rate, average review time, issues found, and comments per review — all with trend comparisons against the previous period.

Review volume and severity visualizations

Interactive charts show daily review volume, severity breakdown, top issue categories, and file hotspots so you can spot patterns quickly.

Smart attention alerts

The dashboard highlights failed reviews, critical issue spikes, and repos with unusually high issue rates so you know where to focus.

Global dashboard filters

Filter all dashboard widgets by date range, repository, or review status. Filters are URL-driven so you can bookmark and share specific views.

Resolved threads auto-collapse

When you fix an issue the AI flagged, the conversation thread now automatically collapses in the PR — keeping your PR clean without manual dismissal.

Smarter repeat review accuracy

The AI now understands which comments are new vs. already addressed, significantly reducing duplicate comments and false 'resolved' notifications on repeat pushes.

Comments on unchanged files no longer marked resolved

Previously, pushing unrelated changes could falsely resolve comments on files you didn't touch. This is now fixed.

Incremental reviews

Push again and only new issues are posted. Previously flagged issues that you've fixed get a 'Resolved' reply instead of cluttering the PR with duplicates.

Reviews appear as CI status checks

Revvu now shows up in your PR's checks tab — you can see the review is in progress and whether it passed or found issues, just like any other CI tool.

AI summary in PR description

Each review adds a summary block to your PR description with the key findings. It updates in-place on subsequent reviews so you always see the latest status.

Redesigned dashboard

New collapsible sidebar, Cmd+K search to quickly find repos and reviews, breadcrumb navigation, and loading states across all pages.

Multi-line code suggestions

Review comments can now reference multi-line code blocks instead of single lines, giving more accurate context for suggestions.

Pricing page with plan comparison

Compare Free, Pro, and Enterprise plans side-by-side with a monthly/yearly toggle. See exactly what you get at each tier.

FAQ section

Answers to common questions about how Revvu works, supported languages, security practices, and getting started.

Security details

New section explaining how your code is handled — diffs processed in-memory, never stored, all webhooks cryptographically verified.

Context-aware reviews

The AI now considers the author's experience with the codebase, file ownership history, and surrounding source code — not just the diff. This produces more relevant and less generic feedback.

Review attempt tracking

The dashboard now shows how many times each PR has been reviewed, so you can track progress across pushes.

Repository removal synced to dashboard

Removing a repository from the GitHub App installation now immediately reflects in the dashboard instead of showing stale data.

Repository and review management

Browse all connected repos, view detailed review history with severity breakdowns and category filters, and drill into individual comments with the AI's reasoning.

Per-repo settings

Configure which files to ignore (e.g., generated code, lock files) and toggle auto-review on or off per repository.

Higher quality comments

Low-confidence findings are filtered out before posting, and comments now include formatted code blocks, severity badges, and structured reasoning.

No API key setup needed

Revvu is fully managed — you don't need to bring your own LLM API key. Just install the GitHub App and reviews start automatically.

Automatic PR reviews

Install the Revvu GitHub App on any repository. Every pull request and subsequent push triggers an AI review with inline comments — no configuration needed.

Severity-rated inline comments

Review findings are posted directly on the PR as inline comments with severity levels: critical, warning, suggestion, and nitpick. Critical issues are surfaced first.

Dashboard overview

See total reviews, success rate, average review time, and active repos at a glance. A recent activity feed shows what's been reviewed across all your repositories.

Secure by default

Your code is never stored. Diffs are processed in-memory and discarded after the review. All webhook payloads are cryptographically verified before processing.