rizwanAI-powered code review assistant that works like Cursor, but for pull requests.

4.7 (6)

Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

Rizwan is an AI tool designed to streamline the code review process, bringing a Cursor-like experience to pull requests and diffs. It analyzes code changes, surfaces potential issues, and suggests improvements so engineering teams can ship faster with greater confidence. By combining context-aware AI suggestions with familiar review workflows, Rizwan helps reviewers focus on high-impact feedback rather than repetitive checks. It can flag bugs, style inconsistencies, security concerns, and opportunities for refactoring directly within the review interface. The tool is aimed at development teams that want to reduce review bottlenecks, maintain code quality at scale, and integrate AI assistance into their existing version control workflows.

Key features

AI-assisted pull request reviews
Inline code suggestions and explanations
Automated bug and issue detection
Refactoring and style recommendations
Integration with version control workflows

Pricing

Model: Free
Category: Coding Agent
Rating: 4.7 / 5 (6)

Use cases

Automated code reviews for pull requests

Cubic provides instant reviews of code in pull requests, catching bugs, technical debt, and enforcing coding rules.

Codebase scanning and bug fixing

Cubic scans the codebase for bugs and security issues, allowing teams to fix them in one-click.

Enforcing coding standards and guidelines

Cubic learns from a team's coding standards and enforces them, providing inline feedback and automatic notifications.

Pros & Cons

Pros

Speeds up pull request reviews
Context-aware AI suggestions
Familiar Cursor-like experience
Helps catch bugs and security issues early

Cons

Still requires human reviewer oversight
Quality depends on codebase context
May produce occasional false positives

Reviews

4.7

Average from 6 ratings.

Robert Ainsworth

Apr 17, 2026

Use it every day

Honestly didn't expect to like it this much. AI-assisted pull request reviews is exactly what I needed, and helps catch bugs and security issues early. I do wish quality depends on codebase context, but I reach for it almost every day now and it just clicks.

Olga Ivanova

Dec 31, 2025

Solid for our team

We rolled this out across the team last quarter and context-aware AI suggestions. Refactoring and style recommendations fits neatly into how we already work, and refactoring and style recommendations removed a step we used to do by hand. but it has held up under daily use.

Sofia Lindqvist

Dec 8, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is inline code suggestions and explanations — handled better than most — and speeds up pull request reviews. May produce occasional false positives is my one real gripe. Worth the time if this is your use case.

Nadia Petrova

Jul 21, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: aI-assisted pull request reviews and context-aware AI suggestions. On balance the feature set — especially refactoring and style recommendations — justifies the 5 stars for our use case.

Marcus Bell

Jul 7, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on automated bug and issue detection, and speeds up pull request reviews caught me off guard. May produce occasional false positives is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Daniel Schmidt

Jul 7, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: integration with version control workflows and helps catch bugs and security issues early. On balance the feature set — especially integration with version control workflows — justifies the 5 stars for our use case.