LangGraphIntermediateā± ~20 minutes

Code Review Agent

Get senior-level code reviews on every PR instantly — catch bugs before they ship

ā˜… 4.8(52 reviews)•Developer Tools
Preview Code ↓
$99$198
  • āœ“ Full source code & documentation
  • āœ“ Commercial license included
  • āœ“ 30-day email support
  • āœ“ Free updates for 1 year

What You Get

Everything included in this template package

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Working Agent Code

3 LangGraph agents for security, style, and logic review

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Configuration File

Review rules, severity thresholds, and language configs

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Prompt Templates

8 prompts for different code review aspects

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Setup Guide

GitHub Actions integration guide with CI/CD setup

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Example I/O

Sample PRs with detailed review outputs

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Architecture Diagram

Review pipeline flow diagram

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The Problem

Code reviews create bottlenecks. Senior devs spend 5-10 hours per week reviewing PRs, junior devs wait days for feedback, and critical security issues still slip through because reviewers are fatigued. The bigger the PR, the worse the review quality.

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The Solution

This agent system reviews every PR instantly — checking for security flaws, performance issues, style violations, and logic errors. It provides line-by-line feedback with fix suggestions, so human reviewers can focus on architecture and design decisions.

How It Works

Your AI crew handles the entire workflow

Input

Your task description, data, or trigger event

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AI Agents
Security ScannerChecks for SQL injection, XSS, auth issues, and dependency vulnerabilities
Style EnforcerValidates code against team standards and best practices
Logic ReviewerAnalyzes business logic, edge cases, and performance implications
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Output

Structured results, reports, and actionable insights

Code Preview

Sample of the LangGraph agent setup

Preview only
crew.py
from langgraph.graph import StateGraph, END
from agents import SecurityScanner, StyleEnforcer
from agents import LogicReviewer

def build_review_graph():
    workflow = StateGraph(ReviewState)

    workflow.add_node("security", SecurityScanner())
    workflow.add_node("style", StyleEnforcer())
    workflow.add_node("logic", LogicReviewer())
    workflow.add_node("summarize", create_summary)

    # All reviews run in parallel
    workflow.add_edge("security", "summarize")
    workflow.add_edge("style", "summarize")
    workflow.add_edge("logic", "summarize")
    workflow.add_edge("summarize", END)

    workflow.set_entry_point("security")
    return workflow.compile()

def review_pr(pr_diff: str):
    graph = build_review_graph()
    result = graph.invoke({"diff": pr_diff})
    return result["summary"]

Example Input & Output

See what goes in and what comes out

Input
Pull Request #247: Add user authentication endpoint

+  @app.post("/login")
+  def login(username: str, password: str):
+      user = db.query(f"SELECT * FROM users WHERE username='{username}'")
+      if user and user.password == password:
+          token = jwt.encode({"user_id": user.id}, SECRET)
+          return {"token": token}
+      return {"error": "Invalid credentials"}, 401
Output
šŸ”“ CRITICAL — 2 security issues found

1. SQL Injection (Line 4)
   `db.query(f"SELECT * FROM users WHERE username='{username}'")` 
   → Use parameterized queries: `db.query("SELECT * FROM users WHERE username = ?", [username])`

2. Plaintext Password Comparison (Line 5)
   `user.password == password` — Never compare passwords directly
   → Use `bcrypt.checkpw(password, user.password_hash)`

🟔 WARNINGS:
- JWT token has no expiration — add `exp` claim
- Missing rate limiting on login endpoint
- Consider returning generic error message to prevent user enumeration

āœ… Style: Passes all checks
šŸ“Š Overall: Block merge — fix critical issues first

Key Features

Built for production use

✦Multi-language code analysis
✦Security vulnerability detection
✦Performance bottleneck identification
✦Code style and convention checks
✦Suggested refactoring patterns
✦PR comment generation

Requirements

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Python
3.9+
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Framework
LangGraph 0.1+
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API Keys
OpenAI API key, GitHub API token
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Monthly Cost
$20-40/mo depending on PR volume

Frequently Asked Questions

Is this template fully customizable?+

Yes. Review rules, severity levels, language support, and style guides are all configurable.

What if I need help setting it up?+

30 days of email support. We'll help you integrate with your GitHub repos and CI/CD pipeline.

What framework does this use?+

LangGraph — enabling sophisticated review workflows with parallel agent execution.

Can I use this commercially?+

Yes. Full commercial license for your development team or agency.

What's the refund policy?+

14-day money-back guarantee, no questions asked.

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