Merge with confidence.
AI code reviews before you merge — Pullora catches bugs, security issues and regressions directly in your Pull Requests.
Free plan · 10 reviews a month · No credit card required
src/billing/promo.ts
SQL injection via string-interpolated query
`code` is user-controlled and interpolated directly into raw SQL. Use a parameterized query or revert to the Prisma query builder.
Possible null dereference
`promo` can be empty when the code doesn't exist — this throws TypeError instead of a 404. Guard for a missing promo first.
Race condition on redemption counter
Read-modify-write on `uses` can double-redeem under concurrency. Use an atomic increment with a max-uses guard in the WHERE clause.
How it works
From push to reviewed in minutes
Connect your git provider
GitHub, GitLab, Bitbucket or Azure DevOps — connect in a click and pick the repositories to review.
Open a Pull Request
Pullora fetches the diff, builds token-budgeted context from your codebase and runs the review pipeline.
Get inline findings
Validated, deduplicated findings land as inline comments with severity, confidence and a suggested fix.
Features
A reviewer that actually reads your code
Not a linter with a chat wrapper — a full review pipeline with validation, dedupe and confidence gating.
Automatic PR reviews
Connect GitHub, GitLab, Bitbucket or Azure DevOps once — every new or updated Pull Request gets reviewed automatically.
PR-URL reviews
Paste any authorized PR URL into the dashboard for an on-demand review, no webhook required.
Quick · Standard · Deep
Match review depth to the stakes: a fast pass for small fixes, a multi-pass deep review for risky changes.
Dry-run mode
Run the full review privately, inspect findings in the dashboard, then post only the ones you want.
Incremental re-reviews
New commits only re-review what changed since the last reviewed SHA — no duplicate comments, no wasted units.
Custom rules & .ai-review.yml
Team conventions live in your repo. Tune severity thresholds, categories, ignore patterns and instructions.
Prompt-injection hardened
Repository content is untrusted data, never instructions. Findings are schema-validated before publishing.
Multi-model engine
Provider-agnostic AI layer picks the right model for the job — and keeps working when one provider is down.
Compare
How Pullora stacks up
Feature comparison based on public documentation of each product, as of 2026.
| Feature | Pullora | CodeRabbit | Greptile | Cursor Bugbot | Qodo Merge | Copilot Review |
|---|---|---|---|---|---|---|
| Inline PR comments | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Dry-run before posting | ✓ | — | — | — | — | — |
| Selectable review depth | Quick / Standard / Deep | — | — | — | — | — |
| Incremental re-reviews | ✓ | ✓ | — | ✓ | — | — |
| Confidence score per finding | ✓ | — | — | — | — | — |
| Repo config file | .ai-review.yml | ✓ | — | ✓ | ✓ | — |
| Finding feedback loop | ✓ | ✓ | — | ✓ | — | — |
| Flat, predictable pricing | ✓ | ✓ | — | — | ✓ | ✓ |
| Transparent usage units | ✓ | — | — | — | — | — |
Security
Built like your code matters
Because it does. Pullora treats your source as sensitive data end to end.
Least-privilege GitHub App
Scoped installation tokens per repository — no personal access tokens, no standing broad access.
Encrypted credentials
Provider credentials are encrypted at rest with AES-256-GCM and never written to logs.
No training on your code
AI providers are used under no-training API terms. Your code produces your review, nothing else.
Verified webhooks
Every webhook is signature-verified and idempotent before any work is enqueued.
Pricing
Start free, scale when you do
From solo side projects to engineering orgs. USD, cancel anytime.
Free
$0/mo
10 reviews / mo · 1 repo
Pro
$19/mo
150 reviews / mo · unlimited repos · Deep mode
Team
$49/mo
5 seats · 500 pooled reviews / mo
FAQ
Frequently asked questions
Connect the Pullora GitHub App to your repositories. When a PR opens or updates, Pullora fetches the diff, builds context from your codebase, runs an AI review, validates every finding against the actual diff, and posts inline comments plus a summary — usually within a couple of minutes.