AI-Powered Code Review

Get smarter code reviews, instantly

Paste your code, pick a review type, and let AI give you actionable feedback on style, security, and design — powered by the right model for each check.

Start Reviewing How it Works

app.py

1def authenticate(user):

2 token = generate_token()

3 db.save(token)

4 return token

Review Complete

Security: Passed

Style: 2 suggestions

Performance: 1 tip

Score: 85/100

GPT-4o

Deep review

Suggestion

Add input validation in auth() to prevent injection attacks.

Quick Fix Available

Python

Review in progress

Model

Claude 3.5

How it Works

From connecting your repo to receiving grounded, actionable suggestions — in four steps.

Connect GitHub

Link your GitHub account with a Personal Access Token. Browse and select any repository you want reviewed.

Pick a Commit

View paginated commits with file change counts — additions, modifications, and deletions. Select one to review.

AI Analyzes Your Code

Choose Minimal, Auto, or In-Depth. LangChain and LangGraph orchestrate the review, grounded in OWASP Top 10 and CWE references via multiple models on OpenRouter.

Get Actionable Results

See severity-tagged suggestions with CWE/OWASP citations, inline diff highlighting on hover, and full review history saved for later.

About CodeCritic

Edrisa Jobe

Fullstack Software Engineer

Builder of CodeCritic. Passionate about AI engineering, LLMs, and shipping tools that make developers better.

Why I built this

As a fullstack engineer transitioning into AI engineering, I wanted to build something that sits at the intersection of real-world software development and large language models. CodeCritic is that project — a hands-on way to learn how LLMs get called, how to pick the right model for each task, and how to ship an AI-powered product end to end.

The mission

AI code review tools today often hallucinate — they suggest fixes that break things, flag issues that don't exist, or miss what actually matters. CodeCritic tackles this head-on by using the right model for the right check: a fast model for style and formatting, a deeper model for security and architecture. Every suggestion is grounded in your actual code context, not a generic guess.

The vision

Better AI means more secure apps. By reducing hallucinations and improving the accuracy of automated reviews, CodeCritic helps developers catch real vulnerabilities before they ship. The goal isn't to replace human reviewers — it's to give them a smarter first pass so they can focus on what matters most.