Code review that actually understands your system
CloudAEye doesn't stop at the diff. It evaluates your change across dependencies, configurations, and runtime services to deliver architect-level reviews.
Beyond the PR
CloudAEye take into context all the repos, their dependencies when reviewing a PR
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.
- Cross repo traking: Follows changes from your PR into downstream services.
- Module tracking: Analyze how files, functions, classes, modules, and dependencies relate to each other.
Enforce Engineering Standards at Scale
CloudAEye enables policy-driven enforcement of engineering standards at scale. With over 75 prebuilt PR checklist items across 10 categories, teams can apply consistent standards to every pull request as the organization grows.
Fluent in your stack
CloudAEye understands your frameworks, cloud and CNCF technologies, to provide reviews similar to a senior architect.
- Best practices: Provides best practices for the technologies used in the repo.
- Library descripency: Flags deprecations, incompatibility and risky upgrades.
Customize Review to suit your style
CloudAEye doesn't just run static checks. It adapts to your team's review style, custom rules, and feedback so future reviews feel more and more according to your style.
Learning
Point CloudAEye at PRs that have human reviews, and it will learn from those comments and decisions to mirror your team's review style.
Rules
Capture your standards as custom rules, including naming conventions, security patterns, logging requirements, and anything unique to your codebase, and apply them across every new PR automatically.
Feedback
Tell us when a reported issue isn't useful and we'll turn it into a rule, so the same kind of noise doesn't show up again in future reviews.
Code Security
Replace fragmented tools with one cohesive check. We bundle industry standard analysis engines directly into the review process.
SAST
Static Application Security Testing finds vulnerabilities like SQL injection and XSS.
SCA Analysis
Software Composition Analysis scans your dependencies for known CVEs, licensing issues, and risky packages.
Secret Scanning
Prevents hardcoded credentials, API keys, and tokens from ever reaching your main branch.
AI agents, LLM, and MCP review
CloudAEye reviews code that uses AI agents to scan for any security vulnerabilities. Code is reviewed against OWASP top 10 vulnerability detection and the Agentic Security Initiative (ASI) by default
- AI Agent: Understands patterns for building, orchestrating, and securing AI agents.
- LLM checks: Flags prompt issues, unsafe outputs.
- MCP Report: Reviews Model Context Protocol integrations, tools, and wiring for correctness and safety.
Code Quality
Comphrehensive review of code quality, style and bugs analysis
Fundamental Code Hygiene
Secure by default. Maintainable by design. Production-ready from the start. CloudAEye enforces the engineering and security fundamentals that prevent costly mistakes.
- No Secrets in Code: Secrets, API keys, or credentials are not exposed.
- No Duplicate Code: Redundant or duplicated code (semantic or syntactic) has been removed.
- Unit Test Coverage: Unit test coverage meets the configured threshold (default 80%).
- Input Validation: Inputs are validated to prevent incorrect or unsafe usage.
- Error Handling: Errors and exceptional cases are handled safely and predictably.
- Injection Protection: Code is safeguarded against SQL/NoSQL/command injection.
- Docstring Coverage: Docstring coverage meets the configured threshold (default 80%).
Honor your linters and style guides
CloudAEye runs alongside your lint rules, surfacing violations, and keeping your style consistent across repos.
- Custom rule sets: ESLint, Prettier, Pylint, and multiple other linters supported.
PR Quality
CloudAEye reviews code that uses AI agents to detect code quality issues.
- PR Description: Auto add PR description based on code changes.
- Commit Description: Auto add description for all commits in a PR.
- Bug Report: Find issues before they hit production.
Trigger reviews automatically
Start code reviews automatically so every change matches your standards.
- Filters: Include or exclude PRs by labels, branches, author, or keywords.
Developer productivity
Help engineers get familiar with the existing codebase faster, so they can ship changes with confidence.
Detailed answers about any part of your codebase
Get precise, context-aware answers to your questions so that you can get familiar with the code flow in minutes.
- Whole codebase search: Ask across repos, services.
- Faster onboarding Unblock new developer without waiting on tribal knowledge.
Fix review issues
Apply recommended fix for a code review issue with confidence.
- Suggested fixes: Concrete code changes that will help you quickly fix an issue
Documentation to your codebase
Let users add and keep their own documentation in sync so docs stay aligned with latest code.
- Docs in context: Answers and suggestions cite your docs, not guesses.
Generate unit tests
Create targeted unit tests for new changes and edge cases, aligned with your frameworks and patterns.
- Framework-aware: Generates tests for your stack (e.g., Jest, PyTest, JUnit).
- Edge coverage: Exercises boundary conditions, null/undefined, and error paths.
- Style aligned: Matches your project conventions and directory layout.
Analyze and resolve issues
Feed any issue and CloudAEye pinpoints root causes and gives concrete steps to fix them.
- Maps to code: Identifies likely files, functions, and commits involved.
- Actionable fixes: Suggests clear remediation steps or code changes.
