AI Code Review Platform for Developers

Ship PRs Faster With Confidence

Move from review comments to implemented fixes with /review, /implement, /describe, and PR checklists built into GitHub and IDE workflows.

40%

Faster QA Cycles

Generate tests, cover negative paths, and reduce manual validation effort across every change.

50%

More Bugs Found Early

Catch logic flaws, security risks, secrets, weak inputs, duplicate code, and maintainability issues before users see them.

4-8h

Saved Weekly

Diagnose CI failures, flaky tests, and recurring test issues directly from pull requests.

Days

Developer Ramp-Up

Auto-docs, issue explainers, and codebase Q&A help developers understand unfamiliar systems quickly.

Auto

Standups and Sprint Reviews

Convert issues, PRs, OKRs, blockers, delivery movement, and code quality signals into daily reports and sprint summaries.

Code Review

Get human like reviews that understand the full context of your PR, catching critical issues, logic flaws, and security vulnerabilities before they merge. Works directly from your IDE or GitHub / GitLab / Bitbucket. Native support for Agentic AI, MCP, CNCF stacks, and popular open-source frameworks & libraries.

analytics-pkg

design-sys

PR #1094

web-frontend

📦

payment-sdk

v2.0.1

⚙️

core-engine

📝

logger

billing-svc

BREAKING API

Full codebase context and control flow

Deep Cross-Repo Intelligence

CloudAEye isn't limited to the lines you changed. It indexes your entire codebase, spanning multiple repositories, to detect how a minor tweak can break a distant service that wasn't even touched.

PR Checklist

Block risky merges before they ship

CloudAEye plugs into your existing tools, runs deep analysis, and enforces a checklist gate to block PR merges when issues are found.

📝 payment_controller.ts

1 import { Stripe }
                              from
                              'stripe';2 3 const stripe =
                              new
                              Stripe(process.env.API_KEY);
                                AI
                              

                                cloudaeye-devprod: According to
                                Stripe v12 Docs, the `apiVersion` parameter is now mandatory.
                              
4 5 async function
                              processPayment(amount)
                              {6   try
                              {7     const
                              intent =
                              await
                              stripe.paymentIntents.create({8       amount:
                              amount,9       currency:
                              'usd',10     });11   }
                              catch (e) {12
                                  console.error(e);13   }14 }

Stripe API Reference

Reading Documentation...

✓ Docs Loaded

Checking constructor signatures for breaking changes in v12.0...

Techstack Aware

Fluent in your stack

CloudAEye understands your frameworks, cloud, and CNCF technologies to provide reviews similar to a senior architect.

Agentic workflows

AI agents, LLM, and MCP review

CloudAEye reviews code that uses AI agents to scan for security vulnerabilities. Code is reviewed against OWASP top 10 vulnerability detection for web, LLM/genAI, agentic and MCP-based application.

Features

Code Review

Context-Aware Code Review

/review

Get human like reviews that understand the full context of your PR, catching critical issues, logic flaws, and security vulnerabilities before they merge. Works directly from your IDE or GitHub. Native support for Agentic AI, MCP, CNCF stacks, and popular open-source frameworks & libraries.

Fundamental Code Hygiene

/review

Prevents secret exposure, enforces proper error handling, validates inputs, and eliminates structural weaknesses that commonly lead to production failures. It protects against injection attacks, insecure deserialization, configuration vulnerabilities, and unauthorized access pathways, while improving code clarity, naming consistency, and long-term maintainability.

Automated Implementation

/implement

Automatically receive intelligent code fixes to streamline resolution and reduce cognitive load. Let the AI agent generate the required code changes, complete with context from your existing codebase. Use seamlessly in your IDE or right from GitHub.

PR Checklist

/check

With over 75 prebuilt PR checklist items across 10 categories, teams can apply consistent standards to every pull request as the organization grows.

Intelligent Documentation

/add_docs

Auto-generate comprehensive docstrings and comments to improve code maintainability and simplify onboarding for new developers. Use it without leaving your IDE or GitHub.

PR Description

/describe

Auto-generate a detailed PR description for code changes in the current PR. Integrated directly with GitHub workflows — no context switching required.

Test Analysis

Test Failure Analysis

/analyze

Stop wasting hours debugging CI/CD failures. Our AI-powered engine delivers instant root cause analysis (RCA) for every test failure — right in your GitHub pull request, as a comment. It also automatically handles flaky tests (those annoying failures that happen without code changes) and streamlines test triaging by grouping and categorizing failures for faster resolution.

Test Generation

Automated Test Generation

/test

Automatically generate and update unit tests with every code change. CloudAEye covers edge and negative cases to help you achieve 100% test coverage effortlessly. Use seamlessly in your IDE or right from GitHub.

CodeCortex

Chat with Code

/ask

Debug and understand large enterprise codebases spanning hundreds of repositories. Ask "where" and "why" questions in natural language to pinpoint problems quickly in GitHub or the chatbot interface.

Issue Explainer

/explain

Get step-by-step implementation guidance for any Jira or GitHub issue. The AI provides a technical breakdown and code suggestions.

Enterprise Search

Make all internal and external documentation (Confluence, Docs, PDFs, Slack, YouTube) searchable. Digitize tribal knowledge and find answers instantly.

Built on a Foundation of Trust & Security

CloudAEye provides enterprise-grade security, broad integration support, and cutting-edge AI to deliver reliable, secure, and intelligent development tools.

🛡️

Security

Comprehensive security assessments that go beyond static analysis, covering OWASP standards and vulnerabilities in web, LLM/genAI, agentic, and MCP-based applications to safeguard your full software and AI stack.

🔧

Broad Integration Support

Native support for your stack. We understand CNCF projects, top open-source libraries, and 3rd party APIs to provide truly accurate analysis.

🤖

Powered by Agentic AI

Our autonomous agents don't just find problems—they reason, plan, and execute solutions. This is more than automation; it's a true developer companion.

Latest from Our Blog

Stay updated with the latest insights, tutorials, and industry trends in AI-powered development.

Code Review July 2026

Deploy CloudAEye Code Review On Premises

Code Review May 2026

A Developer's Tour of Securing the Modern AI Stack

Code Review Feb 2026

Building a World-Class Engineering Culture with CloudAEye PR Checklists

Code Review Dec 2025

Secure and Intelligent Code Reviews for GitLab

Code Review Dec 2025

CloudAEye Code Review Now Supports Bitbucket

Chat with Code May 2025

From Panic to Pull Request: How CloudAEye Reimagines Bug Fixing for Engineering Teams

Code Review Feb 2025

Improving Developer Productivity with Automated Test RCA and Code Review

Code Review Feb 2025

Streamlining Code Reviews with CloudaEye: A Developer's Experience

Test RCA Dec 2024

Transforming Continuous Integration (CI): The Power of 'Shift Left' and GenAI

Test RCA Dec 2024

Fix Jenkins Job Failures Faster with CloudAEye's Test RCA

Events & Webinars

Join us at industry events and catch up on our previous talks and webinars.

Event May 2026

AI in Production Mini Conference

The go-to event for industry professionals to learn how AI is being deployed and scaled in production environments. CloudAEye has been selected to present as part of the “Startup Demo Day” showcase.

📍 AWS Builder Loft, San Francisco, CA

Details →

Event June 2025

Efficiently Develop and Scale AI Applications

Join industry leaders for an interactive panel discussion on the practical challenges and solutions for building production-ready AI applications at scale. Learn from companies solving real infrastructure, development, and talent challenges in the AI space.

📍 San Francisco, CA

Details →

Conference October 2024

AI DevWorld Conference

CloudAEye showcased AI-powered developer tools at the premier AI development conference as a top 20 startups, demonstrating how AI agents can revolutionize software development workflows.

📍 San Francisco, CA

Details →

Conference June 2024

Collision Conference

CloudAEye was part of the vibrant tech gathering at Collision Conf in Toronto! The event achieved remarkable scale, attracting more than 37,000 participants and 1,600 companies, highlighted by a series of impactful keynote presentations.

📍 Toronto, Canada

Details →

Conference April 2024

Startup Grind Global

It's a two-day convergence of the world's most brilliant entrepreneurial minds. CloudAEye was selected as one of the startups to showcase our AI solution.

📍 Redwood City, CA

Details →

Conference September 2023

TechCrunch Disrupt - Startup Battlefield 200

Out of thousands of applicants, TechCrunch chose CloudAEye as a top AI StartupBattlefield company. CloudAEye showcased our AI-powered solution at this prestigious event.

📍 San Francisco, CA

Details →

Common Questions

How accurate is CloudAEye's AI code review?

In an independent 2026 open-source benchmark against 21 leading code review tools on real pull requests from open-source repositories, CloudAEye scored a 66.7% F1-score, the highest of any tool tested, ahead of Qodo Extended (57.9%), Cursor Bugbot (45.5%), Greptile (44.0%), Claude Code (37.6%), GitHub Copilot (37.0%), and CodeRabbit (35.2%).

Does CloudAEye replace human code reviewers?

No. CloudAEye reviews every pull request first, identifying logic flaws, OWASP security risks, secrets, maintainability issues, and code hygiene problems before human review. It learns from past team reviews to align with your standards, allowing engineers to focus on judgment calls rather than repetitive checks. CloudAEye also provides agent friendly review approvals and PR checklists that can be used to automatically approve low risk code changes.

Which tools does CloudAEye integrate with?

CloudAEye works directly within GitHub, GitLab, and Bitbucket pull requests, popular IDEs, and CI systems like Jenkins and GitHub Actions. It also integrates with Jira, GitLab Issues, GitHub Issues, and Confluence, so code reviews, test failures, and standups fit seamlessly into existing workflows.

Can CloudAEye be self-hosted?

Yes. CloudAEye supports self hosted deployment on your AWS infrastructure using Amazon ECS, with GitHub integration, SSO/SAML (Okta, Keycloak), and automated horizontal scalability. Customers get a Terraform installation script that enables setup in as little as 15 minutes, providing complete data sovereignty alongside the standard SaaS offering.

Does CloudAEye have a free tier?

Yes. CloudAEye is free for individual developers, with up to 50 code reviews per month at no cost. Developers can use commands such as /review, /inspect, and /describe (PR description).

Can CloudAEye be used with Claude Code, OpenAI Codex or Cursor?

Yes. CloudAEye provides an MCP server and a pre-commit flow that checks code against the task definition before a PR is created. This catches issues earlier, saves developer time, and reduces review costs.

Ship enterprise-quality software up to 4x faster.

World's Best Code Review

Better Engineering Outcomes, Backed by AI

Ship PRs Faster With Confidence

Faster QA Cycles

More Bugs Found Early

Saved Weekly

Developer Ramp-Up

Standups and Sprint Reviews

AI Agents for a Smarter Developer Experience

Code Review

Deep Cross-Repo Intelligence

Block risky merges before they ship

Fluent in your stack

AI agents, LLM, and MCP review

Engineering Intelligence for Managers and Developers

See delivery signals with context

Turn sprint activity into planning context

Automate daily progress reporting

Prepare fair review conversations

Onboard developers in days, not months

Features

Code Review

Context-Aware Code Review

Fundamental Code Hygiene

Automated Implementation

PR Checklist

Intelligent Documentation

PR Description

Test Analysis

Test Failure Analysis

Test Generation

Automated Test Generation

CodeCortex

Chat with Code

Issue Explainer

Enterprise Search

Built on a Foundation of Trust & Security

Security

Broad Integration Support

Powered by Agentic AI

Seamless Integration with Your Workflow

Latest from Our Blog

Deploy CloudAEye Code Review On Premises

A Developer's Tour of Securing the Modern AI Stack

Building a World-Class Engineering Culture with CloudAEye PR Checklists

Secure and Intelligent Code Reviews for GitLab

CloudAEye Code Review Now Supports Bitbucket

From Panic to Pull Request: How CloudAEye Reimagines Bug Fixing for Engineering Teams

Improving Developer Productivity with Automated Test RCA and Code Review

Streamlining Code Reviews with CloudaEye: A Developer's Experience

Transforming Continuous Integration (CI): The Power of 'Shift Left' and GenAI

Fix Jenkins Job Failures Faster with CloudAEye's Test RCA

Events & Webinars

AI in Production Mini Conference

Efficiently Develop and Scale AI Applications

AI DevWorld Conference

Collision Conference

Startup Grind Global

TechCrunch Disrupt - Startup Battlefield 200

Common Questions

How accurate is CloudAEye's AI code review?

Does CloudAEye replace human code reviewers?

Which tools does CloudAEye integrate with?

Can CloudAEye be self-hosted?

Does CloudAEye have a free tier?

Can CloudAEye be used with Claude Code, OpenAI Codex or Cursor?

Ready to Transform Your Development Workflow?