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CloudAEye Documentation

What is CloudAEye?

Govern code at AI speed.

CloudAEye is an AI-powered code review platform that helps teams improve code quality, strengthen security, and increase development efficiency.

Coding agents are flooding engineering pipelines with massive PRs faster than teams can validate, prioritize, understand, and secure them. CloudAEye Review Intelligence brings intelligent code review and governance directly into your coding agent (Claude Code/Codex/Cursor) workflow, helping you ship code with confidence.

By automating key aspects of the review and agile development process, we help developers catch issues earlier, reduce bottlenecks, and ship with confidence.

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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Differentiators

  • #1 Code Review in Open-source Benchmark

    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%. Refer to benchmark report.

  • Review Intelligence: Intelligent PR Review and Risk-Based Approval

    Automatically approve low-risk PRs and route high-risk changes to the right human reviewers.

    • Detect AI slop with cloudaeye:slop-score
    • Validate against requirements with cloudaeye:check-task to ensure the code meets the original task or acceptance criteria.
    • Analyze architectural impact with cloudaeye:review-arch to identify design issues and unintended dependencies.
    • Analyze control flow with cloudaeye:control-flow to uncover potential logic errors and execution-path risks.
    • Assess PR risk with cloudaeye:risk-score, using bug history, code churn, and incident trends.
    • Prioritize PRs with cloudaeye:triage-prs to focus review effort on the changes that matter most.
    • Assign the right reviewers with cloudaeye:assign-reviewer based on code ownership, expertise, and change risk.

  • OWASP Security Review

    CloudAEye review performs automated security reviews aligned with modern AI application security standards, including:

    • OWASP Top 10 for Web Applications
    • OWASP Top 10 for LLM & GenAI Applications
    • OWASP Top 10 for Agentic Applications
    • Model Context Protocol (MCP) security recommendations

    Security findings are surfaced directly during code review, enabling developers to remediate vulnerabilities before they reach production.

  • Independent Review of Your Tasks in Claude/Codex/Cursor

    CloudAEye MCP Server gives your coding agent, such as Claude Code, Cursor, OpenAI Codex, or any MCP-compatible client, a set of pre-commit code review tools. It analyzes your uncommitted code for issues such as bugs, task misalignment, security vulnerabilities, and more, all before the code leaves your machine.

    There is no need to create a pull request to review your changes. CloudAEye validates your code against the task definition and determines whether the implementation satisfies the requirements. It also returns a clear approval or rejection status, making the review results machine-readable and easy for coding agents to act on.

  • 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.

    CloudAEye supports the following categories of policy-driven and configurable PR checklists:

    • Pull Request Quality
    • Documentation & Readability
    • Code Correctness & Maintainability
    • Testing & Quality Assurance
    • Dependencies & Packaging
    • Security & Compliance (OWASP-Aligned)
    • LLM & GenAI Application Security
    • Agentic Security
    • MCP Server Security & Reliability

  • AI-Powered Developer Assistance

    Beyond code review, CloudAEye assists developers with common engineering tasks through AI commands, including:

    • /add_docs: Automatically generate high-quality docstrings and inline documentation.
    • /test: Generate unit tests to improve test coverage and accelerate development.
    • /describe: Produce clear, concise pull request descriptions.
    • /implement: Recommend code changes for identified issues.
    • /ask: Help developers understand unfamiliar code and architectural decisions.

  • 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

  • And More

    CloudAEye provides AI-powered tools for Agile development that improve developer productivity, code quality, and team performance across the software development lifecycle. It gives engineering teams continuous insights, automated assistance, and intelligent code review to accelerate onboarding, reduce engineering overhead, and help teams ship higher-quality software faster.

    Agile development

    • Automated daily standups
    • Automated sprint retrospectives
    • Automated performance review generation

    Insights

    • Team insights and engineering analytics
    • AI ROI dashboards to measure productivity impact

    Faster onboarding

    • Step-by-step implementation guides (/explain) for new engineers working on issues
    • Q&A across codebases and internal documentation to accelerate onboarding