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CloudAEye Documentation

What is CloudAEye?

AI Agents for a Smarter Developer Experience.

CloudAEye helps startups ship high-quality software up to 4x faster by automating critical post-coding tasks. By streamlining dev-test cycles and surfacing key insights, we eliminate bottlenecks and empower teams to deliver reliable software rapidly and at scale.

We are redefining how developers build, test, and ship software. Recognized by AngelList (Wellfound) as a Top 10 AI Startup and featured in TechCrunch’s AI Startup Battlefield, we embed intelligent AI agents directly into GitHub, Bitbucket and VS Code to eliminate bottlenecks and boost productivity.

Our platform delivers a powerful suite of capabilities:

🔍 Code Review (/review)

Human-like reviews that catch critical issues early. Supports Agentic AI, MCP, CNCF stacks, and top open-source frameworks & libraries.

Full Codebase Context

CloudAEye builds a detailed graph of your codebase, giving it a deep understanding of how everything connects. The result: better context and more bugs caught.

Tech Stack Awareness

What if your code review agent truly understood your entire technology stack? You’d get feedback that feels like it came from an architect. CloudAEye delivers exactly that; learning your stack and using it during review to provide deeper, higher-quality insights.

Rules

Personalize every code review with custom rules. Just write what you want in plain English and set the rule’s scope, our system handles the rest.

Learning

CloudAEye maps your team’s coding standards from actual PR commentary and optimizes its recommendations by tracking which feedback engineers reject with a thumbs-down.

Linters

CloudAEye integrates with third-party linters to deliver a more comprehensive code review experience. By incorporating linting best practices, such as style consistency, error detection, and maintainability checks, you can keep your codebase cleaner, more readable, and easier to maintain.

Automated Code Review

CloudAEye lets you configure automatic code reviews for PRs (pull requests) by including or excluding specific labels, authors, and more.

Create Tracking Issues

Need to handle a review comment later? No problem. CloudAEye automates issue creation from each review comment.

🛠️ Suggested Fixes (/implement)

Automatically receive intelligent code fixes to streamline resolution and reduce cognitive load.

📝 PR Description (/describe)

Auto-generate a detailed PR description for code changes in the current PR.

⚙️ Test Failure Analysis (/analyze)

Cut hours of test triaging. Our automated RCA pinpoints root causes and suggests solutions—fast.

🧪 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.

🧠 Chat with Code (/ask)

Understand and debug large enterprise codebases spanning hundreds of repositories using simple questions. Navigate across repositories with ease.

🧭 Enterprise Search

Make internal and external documentation searchable across tools, digitizing tribal knowledge instantly.

💡 Issue Explainer (/explain)

Get step-by-step guidance for implementing tickets, with context-aware suggestions.

📄 Code Documentation (/add_docs)

Auto-generate docstrings and improve code maintainability with intelligent documentation tools.

🔐 Security Review

Ensure compliance with security best practices. CloudAEye reviews code against OWASP top 10 vulnerability detection and the Agentic Security Initiative (ASI), helping you build secure applications by design.

At CloudAEye, we turn complex logs and code into clear, actionable insights—so developers can focus on building, not debugging.

The CloudAEye Free Tier provides customers the ability to try out our services free of charge up to the specified limits. Sign up!

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Benefits

🚀 Ship 4x Faster: Automate post-coding tasks and accelerate high-quality software delivery.

🐛 Catch Bugs Early: Speed up QA by 40% and detect 50% more issues before they reach users.

⚡ Onboard in Days: Ramp up new devs in under a week, not 3 months. CloudAEye is always ON to support your team.

✅ Keep CI Green: Auto-fix test failures and save 4–8 hours per developer every week.

🔧 Seamless Workflow: Native GitHub and VS Code integration. Enjoy AI support without the context switch.

Differentiators

What Makes CloudAEye Different?

CloudAEye is redefining code review and remediation. Unlike traditional tools that stop at surface-level checks, we provide deep, automated, and actionable insights, purpose-built for modern AI and cloud-native development.

✅ 1. Most Comprehensive Code Review Solution

We go far beyond basic bug detection to cover the full spectrum of modern software vulnerabilities and quality issues:

  • Programmatic Bugs: Logic errors, anti-patterns, code quality violations
  • Web Security: Full OWASP Top 10 coverage — not just surface-level checks
  • LLM Application Security: Prompt injection, hallucination risk, token control, output validation, and misuse protection
  • Agentic AI Security: Secure your AI agents from cross-tenant leakage, tool exploitation, and unbounded loops
  • CNCF Stack Vulnerabilities: In-depth analysis of CNCF technologies like Kubernetes, Helm, Prometheus, Envoy, and more
  • Custom Rules: Establish coding standards with tailored rules and style guides for your organization
  • Infrastructure as Code (IaC): Scan IaC code for errors, vulnerabilities, and misconfigurations

🧠 2. Best-in-Class for AI & Agentic Development

CloudAEye is uniquely suited for AI-powered applications:

  • Native integration with CrewAI, LangGraph, and other agentic frameworks
  • Built-in support for LLM Security and the Agentic Security Initiative from OWASP
  • Automatically detects and secures AI-specific risks that legacy tools miss
  • Code review for MCP development with security and best practices

☁️ 3. Tailored for Modern Cloud Applications

Designed for cloud-native teams building and scaling secure web apps:

  • Full-stack web app security including OWASP Top 10
  • Deep integration with CNCF ecosystem and modern 3rd-party APIs
  • Intelligent reviews for infrastructure-as-code, service meshes, and more

🧪 4. Comprehensive Test Generation, Built Into Your IDE

CloudAEye doesn’t just find issues, it ensures they're tested and verified:

  • Unit Test Generation: Auto-generates tests with every change, covering edge and negative cases

🔧 5. We Don’t Just Suggest Fixes, We Fix the Code

Unlike other tools that leave devs with vague advice, we deliver implementable, repository-aware fixes:

  • Understands Entire Codebase: Context-aware suggestions, not one-liners
  • Architecture-Aware: Tailored to your tech stack and design patterns
  • Dependency-Safe: Won’t break existing integrations
  • Pattern-Matched: Follows your team’s coding conventions
  • Multi-file Support: Handles complex cross-module or component fixes
  • Ready-to-Apply Fixes: Delivered as PRs or direct edits via IDE

✨ 6. Bonus Superpowers for Developer Velocity

  • Auto-generated PR descriptions
  • Chat with Your Code - Understand and debug large enterprise codebase spanning hundreds of repositories using simple questions. Ask " where " and " why " questions in natural language to pinpoint problems quickly.
  • Inline Code Documentation Suggestions - Auto-generates docstrings and improve code maintainability with intelligent documentation tools.
  • Issue Explainer - Get step-by-step guidance for implementing tickets, with context-aware suggestions for your Jira or GitHub issues.
  • Test Failure Analysis - Pinpoints root causes and suggests solutions fast for test failures and keeps CI/CD green. Automatically identifies flaky tests.
  • Enterprise Search - Make all internal and external documentation searchable. Digitize tribal knowledge and find answers instantly.
  • Seamless Workflow - Native GitHub, Bitbucket, and VS Code integrations. Enjoy superior code review without the context switch.