CloudAEye

CloudAEye gives developers AI-powered code review, automated PR checklists, OWASP security scans, and an MCP server for pre-commit review in Claude Code, Cursor, and Codex.

CodeCortex gives engineering teams AI-powered insights, automated standups and sprint reviews, review-ready performance context, and fast developer onboarding.

CloudAEye uses AI to detect flaky tests as they're added, analyzing test history, code, and logs to catch flakiness before it hides real defects.

Accelerate Bitbucket pull request reviews with CloudAEye AI Code Review. Automate code reviews, improve code quality, and detect bugs earlier with native Bitbucket integration.

The page shares CloudAEye news, product updates, and engineering insights on AI code review, test root cause analysis, and developer productivity.

An AI-powered pull request checklist with 75+ configurable checks that enforces code quality, security, and AI-specific best practices on every PR.

CloudAEye’s self-hosted AI Code Review can be deployed on AWS infrastructure with GitHub integration, SSO, Amazon ECS, and full data sovereignty.

CloudAEye pricing plans for AI code review, test root cause analysis, and developer companion tools. Free, Pro, and Enterprise plans with per-developer pricing, plus discounts for open source and pre-Series A startups.

CloudAEye provides a free tier allowing customers to test its services within specified limits.

CloudAEye offers a 14-day free trial to evaluate its platform and AI-powered developer productivity features before committing to a paid plan.

CloudAEye’s team includes AI and engineering leaders from CloudBees, Oracle Cloud, and LinkedIn, focusing on AI tools for root cause analysis and code review.

Please contact CloudAEye at info@CloudAEye.com

CloudAEye offers AI-powered test failure analysis and code review, with options to book a demo, email info@cloudaeye.com, or call (408) 887-2235.

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

CloudAEye’s multi-tenant SaaS services isolate customer data, classify it by sensitivity, and use encryption to prevent unauthorized access.

The page explains how CloudAEye handles personal data collection, usage, protection, and sharing, including GDPR and LGPD rights.

CloudAEye outlines its information security policy and answers frequently asked questions about multi-tenant SaaS services.

Please see Terms of Service at www.cloudaeye.com/terms.html

CloudAEye's Enterprise Terms of Service covering service orders, fees, data ownership, liability, and termination.

GitHubRepository owner

CloudAEye introduces an AI-powered **Semantic Observability Solution**, redefining log management through advanced semantic analysis. The platform leverages AI to enhance real-time monitoring and troubleshooting for enterprise IT environments. This innovation aims to streamline operational visibility by translating unstructured log data into actionable insights.

Oct 2023GlobeNewswireNews article

A founder shares personal insights from launching a deep tech startup, covering challenges like securing funding, assembling talent, and navigating early-stage product development. The narrative highlights the importance of persistence and adaptability in high-risk, high-reward innovation sectors. Key takeaways include the need for a strong technical vision and the realities of building a team with specialized expertise.

May 2021CloudAEye, Inc. (Medium)News article