Code Review Agent
Get senior-level code reviews on every PR instantly ā catch bugs before they ship
- ā Full source code & documentation
- ā Commercial license included
- ā 30-day email support
- ā Free updates for 1 year
What You Get
Everything included in this template package
Working Agent Code
3 LangGraph agents for security, style, and logic review
Configuration File
Review rules, severity thresholds, and language configs
Prompt Templates
8 prompts for different code review aspects
Setup Guide
GitHub Actions integration guide with CI/CD setup
Example I/O
Sample PRs with detailed review outputs
Architecture Diagram
Review pipeline flow diagram
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.
The Solution
This agent system reviews every PR instantly ā 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
Your task description, data, or trigger event
Structured results, reports, and actionable insights
Code Preview
Sample of the LangGraph agent setup
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
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"}, 401š“ CRITICAL ā 2 security issues found
1. SQL Injection (Line 4)
`db.query(f"SELECT * FROM users WHERE username='{username}'")`
ā Use parameterized queries: `db.query("SELECT * FROM users WHERE username = ?", [username])`
2. Plaintext Password Comparison (Line 5)
`user.password == password` ā Never compare passwords directly
ā Use `bcrypt.checkpw(password, user.password_hash)`
š” WARNINGS:
- JWT token has no expiration ā add `exp` claim
- Missing rate limiting on login endpoint
- Consider returning generic error message to prevent user enumeration
ā
Style: Passes all checks
š Overall: Block merge ā fix critical issues firstKey Features
Built for production use
Requirements
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 ā 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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