About AI Review
Learn how AI Review helps you become a better software engineer
What is AI Review?
AI Review is a personal learning platform designed to help software engineers improve their skills through structured, AI-powered code reviews. Instead of just getting feedback on completed code, AI Review guides you through the entire development process—from problem analysis to implementation.
How It Works
1. Design Options
Before writing code, AI Review generates three different design approaches to solve your problem. This encourages you to think about multiple solutions and understand trade-offs.
2. Justification
You select one approach and explain your reasoning. This step reinforces critical thinking and helps you articulate design decisions.
3. Comprehensive Review
Five specialized AI agents review your code from different perspectives:
- Correctness: Logic, edge cases, and bug detection
- Architecture: Design patterns, structure, and scalability
- Readability: Code clarity, naming, and documentation
- Performance: Efficiency, optimization, and resource usage
- Teaching: Learning opportunities and best practices
Key Features
- •Learning-Focused: Designed to help you grow, not just review code
- •Privacy-First: We only store metadata and summaries, never your actual code
- •Multiple AI Providers: Supports OpenAI and Anthropic models
- •Customizable Learning: Adjust how AI communicates based on your learning style
- •Review History: Track your progress and learn from past reviews
Privacy & Data
AI Review is built with privacy in mind. We never store your actual code or diffs. Only metadata—like problem summaries, chosen approaches, and review summaries—is saved to help you track your learning journey. Your code is processed by AI providers (OpenAI/Anthropic) for review purposes only, in accordance with their privacy policies.
Our Mission
Our goal is to help software engineers develop better reasoning skills and make more thoughtful design decisions. By providing structured feedback at every stage of development, we aim to create a learning loop that improves both your code quality and your engineering judgment.