Inline review with a verdict
Comments land on the lines they are about, each with a severity and a suggested fix. The review approves or requests changes, like a teammate would.
AI code review for GitHub
Code review that reads the ticket first.
PRNeuron reviews every pull request with Claude. It checks the change against its Jira ticket, scans for leaked secrets and vulnerable dependencies, and draws what changed — before anyone on your team reads a line.
50 reviews a month free. No credit card. Installs as a GitHub App.
prneuron reviewed #128 Throttle login attempts
Changes requested
Adds a per-IP limit to the login route. One blocking issue: the limit trusts a header any client can set.
SCRUM-422 of 3 acceptance criteria met — the lockout email is missing.
What this PR changes
Running in five minutes. No pipeline changes.
PRNeuron is a GitHub App. There is nothing to add to your CI and nothing to run on your machines.
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Install the GitHub App
Pick the repositories PRNeuron may see. Connect Jira if you want reviews checked against tickets.
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Open a pull request
Every opened, reopened or updated pull request is queued for review automatically.
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Get a review in about two minutes
Inline comments on the exact lines, a summary, and a verdict: approve or request changes.
A reviewer that knows why the code changed.
Most AI reviewers only see the diff. PRNeuron also reads what the work was for, what your team's rules say, and what the change does to the system.
Checked against the Jira ticket
PRNeuron finds the ticket key in the branch, title or description and checks the change against its acceptance criteria — so "done" means done.
Security review on every PR
Leaked secrets and known-vulnerable dependencies are caught on every pull request, with a deeper security pass when a change touches auth, queries or input handling. Findings above your threshold block the merge.
Before and after flow diagrams
Each review opens with a diagram of the affected flow as it was and as it will be, with new, changed and removed steps marked. Reviewers see the shape of the change first.
Your history, explained
A graph of every merged pull request, the history of any single file, and a plain-language explanation of what each commit and PR changed — and whether it matched its ticket.
Follows your team's rules
Reads the standards you already keep in the repo — CLAUDE.md, AGENTS.md, Cursor rules, .codereview/rules.md — and applies each one only to the files it covers.
Your code stays yours.
Built for teams who need to know where their code goes before they install anything.
- Never used for training. Reviews run on Anthropic's commercial API, which does not train models on your data.
- No copy of your repository. Diffs are fetched when a review runs; we keep the review, not the code.
- Isolated per organisation at the database level, so one customer's query can never return another's data.
- Delete everything — an organisation owner can export or erase all of its data at any time.
Permissions PRNeuron asks for
| GitHub permission | Access |
|---|---|
| Contents | Read |
| Pull requests | Read & write |
| Metadata | Read |
Write access is used for one thing: posting the review on the pull request. PRNeuron never pushes code or changes settings.
Frequently asked questions
What is PRNeuron?
PRNeuron is an AI code reviewer for GitHub pull requests. It installs as a GitHub App, reviews every pull request with Anthropic's Claude, and posts inline comments with a verdict. Each review also checks the change against its Jira ticket's acceptance criteria, runs a security scan, and includes a before/after flow diagram of what changed.
How does PRNeuron work?
Install the PRNeuron GitHub App on the repositories you choose. When a pull request is opened, reopened or updated, PRNeuron fetches the diff and the surrounding code, reviews it with Claude against your repository rules and the linked Jira ticket, and posts the review on the pull request, usually within about two minutes. Nothing changes in your CI pipeline.
How much does PRNeuron cost?
PRNeuron has a free plan with 50 reviews a month and up to 3 seats. The Team plan is $99 (₹8,499) a month for 500 reviews and 25 seats, and Enterprise is custom-priced with unlimited reviews and seats. Every plan includes every feature. See pricing.
How is PRNeuron different from other AI code review tools?
Most AI reviewers only see the diff. PRNeuron also reads what the change was for — the linked Jira ticket and its acceptance criteria — and the rules your team keeps in the repository, such as CLAUDE.md, AGENTS.md and Cursor rules. Every review shows the change as a before/after flow diagram, and security review is included on every plan, including the free one.
Is my code used to train AI models?
No. PRNeuron runs reviews on Anthropic's commercial API, which does not use API data to train models, and PRNeuron does not train models of its own. PRNeuron also does not keep a copy of your repository: diffs are fetched for each review and discarded. See security.
Which languages does PRNeuron review?
PRNeuron reviews any language in a GitHub repository. Reviews work from the diff and the surrounding code, so there is no per-language setup. Dependency vulnerability checks cover npm, Yarn, pnpm, Python (pip, Poetry, uv, Pipenv), Go and Rust lock files.
Which AI model does PRNeuron use?
PRNeuron uses Claude, by Anthropic. Your organisation can choose which Claude model runs its reviews in its settings.
Does PRNeuron replace human reviewers?
No. PRNeuron is a first reviewer: it catches the mechanical issues, the security slips and the missed acceptance criteria, so your team's review time goes on design and intent.
Does PRNeuron support GitLab or Bitbucket?
Not yet. PRNeuron works with GitHub only, including private repositories and organisations.
What counts as a review?
One completed review of one push to a pull request. Opening a pull request and then pushing two more commits is three reviews. Commit and pull request explanations in the history view do not count towards your allowance.
Can I turn the security review off?
Yes. Security review is on by default, and organisation settings let you switch it off or choose the severity — critical, high or medium — at which a finding blocks the merge.
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