PRs wait for people
Senior engineers become the queue. Changes sit idle while context goes stale and releases slip.
We can't find the internet
Attempting to reconnect
Something went wrong!
Attempting to reconnect
ReviewPilot reviews every pull request with the AI model you already trust, using your own API key. It deletes the diff after analysis and turns every verdict into evidence your engineering leadership can act on.
One security correction before merge. Tests cover the happy path only.
lib/payments/store.ex:87
lib/payments/export_worker.ex:41
Senior engineers become the queue. Changes sit idle while context goes stale and releases slip.
Security and data-integrity checks happen when someone remembers them, not on every change.
Sending proprietary code to yet another vendor is a non-starter for regulated teams.
Add read-only GitHub or Bitbucket Cloud tokens and pick the projects to sync.
Choose OpenAI, Anthropic or Gemini and the model. Keys are encrypted with AES-256-GCM.
Paste a PR or branch URL, or let a signed GitHub webhook queue reviews automatically.
Resolve or dismiss findings, then track risk, quality and resolution rate over time.
Code only travels to the AI provider your company already approved. No markup on model usage.
Severity, category, file and line, explanation and a concrete suggestion. No walls of text.
Resolve, dismiss or reopen each finding. Every decision records who made it and when.
Queued, running, completed: progress streams to the browser in real time.
Owners see the whole team. Engineers see only the reviews they submitted.
Signed GitHub webhooks review PRs when they are opened, reopened or updated.
The verdict is published as a GitHub review, with inline comments on the changed lines.
Owners add stack and domain context to every review. It only adds context and can never override ReviewPilot's rules.
New commits or a different model? Re-run any review. Earlier findings and triage stay intact.
Press ⌘K to find reviews, branches and repositories, always within what each role may see.
The bell lights up the moment a review finishes, with unread tracking per person.
A monthly AI quota per plan, a warning at 80% and a clear stop at 100%. Nothing surprises finance.
ReviewPilot keeps the engineering evidence, not your source code. Retention is zero days by default, configurable up to 30 days with automatic purge, and every secret is encrypted and never rendered back into a form.
Delivery confidence, risk distribution, quality trend, repository hotspots, turnaround time and AI token usage, across 7, 30 or 90 days, with a plain-language executive summary.
We're working closely with a small group of teams. Pilots are free, hands-on, and focused on the review workflow your company actually runs.
Not by default: the diff is deleted as soon as the analysis finishes. Owners can keep it for 7 or 30 days, after which it is purged automatically. Findings, score and metadata remain.
Only the one you configure: OpenAI, Anthropic or Google Gemini, with your own API key and under your own agreement with them.
GitHub and Bitbucket Cloud, both pull requests and direct branches. Automatic webhook reviews are available for GitHub.
Yes. Team owners write review guidance (stack, conventions, domain rules) that is added to every review. It can only add context; it cannot change or switch off ReviewPilot's own rules.
You see a warning at 80% of the monthly AI quota. At 100%, new reviews pause until the quota resets on the 1st, and nothing is billed beyond the plan.
Read-only tokens that can list repositories and read pull requests and their contents.