AI Code Review for Developers | CloudAEye

Developers with CloudAEye

At CloudAEye, we aim to herald the next generation of developers by empowering their tools and processes with AI. Let's take a look at what CloudAEye has in store for developers

Next Generation Development

Join the new wave of developers. Use AI to take care of all the grunt work so that you can focus on getting your ideas off the ground.

Why CloudAEye?

We believe engineering teams should never have to choose between speed and quality. CloudAEye helps teams improve code quality, strengthen security, and accelerate software development with AI powered code review.

CloudAEye Benefits

Native Integrations

CodeBuild GitHub Actions

CloudAEye integrates seamlessly with your existing development workflow, so there is no new workflow or UI to learn. With native GitHub integration, you can review findings, apply suggested fixes, and commit changes directly from GitHub.

SaaS & Self-Hosting

CloudAEye code review is available as both a fully managed SaaS service and a self-hosted deployment for organizations with security, compliance, or data sovereignty requirements.

Industry-Leading AI Code Review

In an independent, open-source benchmark evaluating 21 AI code-review agents across 50 real-world pull requests, CloudAEye ranked #1 overall with an F1 score above 65%

OWASP Security Review

CloudAEye performs automated security reviews aligned with modern standards such as OWASP for web applications, LLM and GenAI applications, Agentic Applications, and MCP security. Detect vulnerabilities such as indirect prompt injection and misconfigurations in your AI workflows, and get actionable recommendations to strengthen your security.

AI Assistance everywhere, for everything

Code Review

Automated Code Quality Checks

CloudAEye accelerates development by automating code reviews. It analyzes code changes for quality, security, and maintainability, providing actionable feedback to keep your codebase clean, secure, and reliable.

Enterprise-Grade PR Checklist

CloudAEye includes one of the industry's most comprehensive AI-driven pull request checklists, covering more than 75 quality, security, and engineering best practices. Organizations can configure these checks as advisory warnings or mandatory merge-blocking gates.

Review Your Tasks in Claude/Codex

CloudAEye MCP Server gives coding agents like Claude Code, Cursor, and OpenAI Codex pre commit code review tools. It analyzes uncommitted code for bugs, task alignment, security vulnerabilities, and more without requiring a pull request. It validates implementations against task requirements and returns clear, machine readable approval or rejection results.

Automated Code Hygiene

CloudAEye continuously validates fundamental software engineering best practices, including: Preventing hardcoded secrets and credentials, Detecting duplicate or redundant code, Identifying potential runtime errors and edge cases, Improving code readability and maintainability, Enforcing consistent naming conventions, Strengthening exception and error handling, Eliminating dead or unused code, Encouraging modular and reusable designs, Recommending testability improvements.

Let's Talk

Are you interested to learn more? Contact us at info@cloudaeye.com or use the form below.