ENGINEERING · GITHUB PR REVIEWER AGENT

AI GitHub PR Reviewer

An autonomous code review agent that checks every PR against your style guide, flags security and performance risks, and leaves inline Conventional-Comments. Never approves — humans do that.

Hire this agent

works with github · gitlab · linear · sentry · codeql · ci

live · ask github pr reviewer

ai-github-pr-reviewer

Run github pr reviewer for this week and show me the output. you · just now

R AI GitHub PR Reviewer · thinking · 3 tool calls · 1.4s

Review every new and updated PR within 30 minutes
Check against the style guide and surface deviations from prior decisions
Flag security, performance and breaking-change risk

GitHub PR Reviewer — this week's run

draft · engineering · ready for review

ready

Highlights

Pulled the week's signals — kept the ones worth your attention
Drafted in your voice, sources cited inline
Posted to your review queue with one-click approval

Schedules itself for the same time next week
Learns from every edit you make

▸ awaiting your approval · publish · edit · discard

SEE IT IN ACTION

How the AI GitHub PR reviewer works, from PR to posted review.

One real example showing exactly what happens when the agent reviews a pull request.

1 YOUR PROMPT

Alex Torres

Tech Lead · Nimbus

Review PR #2847 — it touches the auth middleware. Check for breaking changes, security issues, and style guide violations.

just now

2 AGENT AT WORK running

GitHub Fetching PR #2847 diff: 14 files changed, 340 lines added

diff parsed · auth middleware + 3 downstream consumers identified

Knowledge Base Retrieving team style guide and prior auth-related review decisions

12 relevant style rules · 4 prior decisions loaded

CodeQL Running security analysis on auth middleware changes

1 finding: JWT validation bypass possible on malformed tokens

LLM Review Checking for breaking changes in public API surface

1 breaking change: response schema field renamed without deprecation

LLM Review Checking style guide compliance and code quality

2 style violations · 1 performance concern flagged

GitHub Posting 4 inline Conventional-Comments on PR

1 blocking · 1 suggestion · 2 nitpicks · review posted

3 THE OUTPUT ready for review

GitHub PR Review Changes requested

GH PR #2847 Review reviewed just now

Review complete: 1 security issue, 1 breaking change, 2 style notes.

📁 src/middleware/auth.ts

🔴 BLOCKING: JWT validation skips signature check on malformed tokens. Exploitable — fix before merge.

→ Line 87: if (!token) return next() should reject, not pass through

📁 src/api/routes/users.ts

🟡 SUGGESTION: user_role renamed to role in response. Breaking change for v2 API consumers.

→ Line 34: keep both fields for 2 releases as deprecation period

📁 src/middleware/error-handler.ts

🟢 NITPICK: Line 142 catches generic Exception — should be AuthenticationError per style guide §4.2

📁 src/middleware/auth.ts

💡 NITPICK: New middleware creates a DB connection per request. Use connection pool from PR #2631

▸ submit review · edit comments · dismiss

REVIEWS ON AUTO-PILOT

AI code review on every PR within minutes, not days.

PRs land in the queue the moment they open. The agent picks them up, runs style, security and breaking-change checks, and posts inline comments — all visible on the kanban. Your team wakes up to actionable feedback, not a review backlog.

app.flowhunt.io/ai-projects/projects/ai-github-pr-reviewer/issues

live

GitHub PR Reviewer · marketing-workspace

Issues

Running

Open 0

In Progress 0

Done 0

Agents running

3 / 5

Shipped today

Cycle time

2h 14m

Auto-resolved

62%

HOW IT WORKS

Set up your AI code review agent in three steps.

Most teams have their first AI-powered PR review within ten minutes of connecting.

Connect your repo and upload your style guide.

Link your GitHub or GitLab repository. Upload your style guide, architecture decision records, and any prior review notes as knowledge sources. The agent uses these to review code the way your senior engineers would — not with generic rules, but with your team's specific standards.

New project

Review all PRs in nimbus/platform repo.

GitHubStyle GuideADRsCodeQL

Save draft Start the agent →

Agent reviews. Team responds.

When a PR opens, the agent reads the diff, checks it against your style guide and prior decisions, runs security analysis, and flags breaking changes. It leaves inline Conventional-Comments — blocking, suggestion, or nitpick — directly on the PR. Your team responds to the comments like any other review.

Review queue

Queued

PR #2847 auth middleware

PR #2851 billing API

Reviewing

PR #2849 dashboard UI

Posted

PR #2846 · 3 comments

PR #2844 · clean

Agent learns. Reviews get sharper.

Every resolved comment, every overridden suggestion, every merged PR feeds into the agent's memory. Over time it learns your team's preferences — which rules matter most, which patterns are acceptable exceptions, and which areas need the most scrutiny. You get a weekly digest of common issues and coverage gaps.

This week's stats

Reviewed

18 PRs this week

Blocked

3 security issues caught

Learned

6 new patterns stored

WHY IT WORKS

What changes when an AI code reviewer checks every PR.

Senior engineers stop being the bottleneck.

The agent handles the first pass — style, security, breaking changes, known patterns. Your senior engineers only see the PRs that need their judgment, with the routine issues already flagged and the context already attached.

Consistent standards across every PR.

The agent applies the same style guide, the same security checks, and the same architectural principles to every pull request — whether it is opened at 2am or 2pm, by a junior developer or a contractor. No more inconsistent reviews based on who is on-call.

Institutional knowledge that does not walk out the door.

Upload your ADRs, style guides and past review decisions as knowledge sources. The agent applies them consistently — even after the engineer who wrote them moves on. Every review decision feeds back into memory, building a living record of your team's standards.

CAPABILITIES

Everything your code review agent handles, from diff to review.

Six capabilities that give every PR the review it deserves — without burning your senior engineers' time.

Diff analysis and context retrieval

Reads the full diff, identifies affected modules, and retrieves relevant style guide sections, ADRs and prior review decisions from your knowledge sources before writing a single comment.

Inline Conventional-Comments

Posts comments directly on the PR using the Conventional-Comments format — blocking, suggestion, nitpick, question. Each comment cites the relevant style rule or prior decision so reviewers understand the reasoning.

Breaking-change detection

Identifies changes to public API surfaces — renamed fields, removed endpoints, changed response schemas — and flags them before they reach production. Recommends deprecation paths when appropriate.

Security and performance risk flagging

Runs CodeQL-style analysis and checks for common vulnerabilities — injection, auth bypass, data exposure. Flags performance concerns like N+1 queries, missing indexes, or resource leaks.

Never approves — humans do that

The agent flags issues and leaves comments. It never clicks approve. Merge decisions stay with your team. You control how much weight the agent's review carries in your branch protection rules.

Full observability and weekly digest

Every review action is logged and replayable. Weekly digest surfaces recurring issues, most-flagged rule violations, and areas of the codebase that need the most attention — so you can fix patterns, not just individual PRs.

UNDER THE HOOD

The agent infrastructure behind the AI GitHub PR reviewer.

The PR Reviewer agent runs on the same platform that powers 120+ autonomous agents. Open it in the visual editor and customize anything.

Visual flow editor. Every agent is a flow you can open and customize — swap the AI model, add review steps, wire in additional analysis tools. No code.
Knowledge sources & RAG. Upload your style guide, ADRs, security policies, or past review notes. The agent retrieves the relevant context before every review.
Persistent memory. Episodic, long-term and shared memory. The agent remembers which suggestions your team overrides, which patterns are acceptable exceptions, and which rules matter most.
Multi-agent teams. Stack the PR reviewer under a Supervisor alongside CI, testing and deployment agents. They share context and hand work to each other.

flowhunt · github-pr-reviewer · flow

AGENT

GitHub PR Reviewer

Diff

▸ Parse changes

Security

▸ Run CodeQL

Review

▸ Post comments

CONNECTED TOOLS

github gitlab linear sentry codeql ci

memory · 2,847 events

WHO IT'S FOR

Built for teams that need autonomous code review without the wait.

If your PR queue is longer than your team can drain — or your standards slip when senior engineers are busy — this agent helps.

ENG

Engineering Teams

Give every PR a first-pass review within minutes. Free your senior engineers from routine checks so they can focus on architecture and design decisions that need human judgment.

PLATFORM

Platform Teams

Enforce API contracts, breaking-change policies and infrastructure standards consistently across every service — even when the team shipping the PR is not on your floor.

OSS

Open-Source Projects

Review external contributions against your project's style guide and security policies. The agent provides consistent, respectful feedback to contributors — freeing maintainers for the PRs that need deeper thought.

DEV

DevTools Companies

Ship faster without shipping bugs. The agent catches the issues that slow down your release cycle — style drift, security regressions, undocumented breaking changes.

FIN

FinTech & Regulated Industries

Full audit trail on every review. Every comment, every finding, every decision logged and replayable — for compliance reviews, SOC 2 audits, and regulatory inspections.

AGENCY

Agencies & Consultancies

Maintain code quality across multiple client projects without staffing a reviewer on every account. Each agent runs with its own style guide and review standards.

THE QUALITY ADVANTAGE

An AI code review agent that protects quality and security.

The PR reviewer gives every pull request a consistent first-pass review — catching security, breaking-change and style issues before they reach production.

Security risk flagging
Injection, auth bypass and data-exposure issues caught early.
Breaking-change detection
Public API changes surfaced before they ship.
Consistent standards
Your style guide applied to every PR, every time.
Full audit trail
Every review logged and replayable for compliance.

Put your AI GitHub PR reviewer to work in minutes.

Start free. Connect your repo, upload your style guide, and watch the agent review. No credit card required — cancel anytime.

Hire this agent Talk to sales

AI GitHub PR reviewer — frequently asked questions

What is an AI PR reviewer?

An AI PR reviewer is an autonomous agent that reads pull request diffs, checks them against your team's standards, and leaves actionable inline comments — just like a human reviewer, but available instantly on every PR. FlowHunt's version uses your style guide, ADRs and prior review decisions as context, so it reviews code the way your senior engineers would.

Does it approve or merge PRs?

No. The agent flags issues and leaves Conventional-Comments (blocking, suggestion, nitpick). It never approves or merges a PR. Merge decisions stay with your team. You control how the agent's review fits into your branch protection rules.

How does it know our coding standards?

You upload your style guide, architecture decision records, security policies and any other reference docs as knowledge sources. The agent retrieves the relevant sections before every review. It also builds memory from resolved comments and overridden suggestions over time.

What kinds of issues does it catch?

Style guide violations, security vulnerabilities (injection, auth bypass, data exposure), performance concerns (N+1 queries, resource leaks), breaking changes to public APIs, and inconsistencies with prior architectural decisions. You can configure which checks matter most.

Does it work with GitLab?

Yes. The agent supports both GitHub and GitLab repositories. You can also open it in the visual flow editor and connect additional tools — CI systems, issue trackers, monitoring platforms — without writing code.

Can I customize what it reviews?

Yes. Every pre-built agent can be opened in FlowHunt's visual flow editor. You can add or remove review steps, adjust sensitivity thresholds, connect additional analysis tools, or wire it into a multi-agent team with CI and deployment agents. No coding required.

How much does it cost?

FlowHunt uses credit-based pricing — each credit is worth about one dollar. A typical PR review uses 0.5-3 credits depending on the size of the diff and the depth of analysis. You can try it free with 5 trial credits.

Will it slow down my CI pipeline?

No. The agent runs as a separate process triggered by PR events — it does not block your CI pipeline. Reviews typically post within 2-5 minutes of a PR being opened, in parallel with your existing CI checks.

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