CloudAEye - AI Agents for Developers and SREs

Ship code faster, with confidence

Get instant feedback on every PR. Cut review time from 1 week to 1 day. Slash bugs in half. Auto-fix test failures and keep your CI always green.

AI Agents Dashboard Interface

Auto-fix test failures

Keep your CI green with CloudAEye Test RCA. Powered by AI, it pinpoints the root cause of test failures in seconds — even in complex systems. Simplify error analysis, resolve issues faster, and cut down debugging time — so your team can stay focused on building, not fixing.

Test failure analysis

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Automatically analyzes test failures, identifies root causes, and suggests fixes

Test Root Cause Analysis feature interface

Flaky tests

Find and fix flaky tests — fast — with CloudAEye Test RCA. Flaky tests create risk by generating false negatives and, worse, hiding real issues as false positives. CloudAEye uses AI to detect instability, surface root causes, and help you eliminate flaky tests before they slow you down.

Flaky test detection and analysis interface

Triage tests

Streamline test triage with CloudAEye. Quickly identify test owners, assign resolution tasks, and confirm fixes — all in one place. CloudAEye automates the triaging process, reduces manual effort, and ensures no issue falls through the cracks — keeping your testing fast and on track.

Test triage and management interface

Smarter code reviews with full-codebase awareness

CloudAEye reviews your PRs with human-like understanding — no noise, just actionable insights. It adds precise inline comments to catch bugs and antipatterns, summarizes changes for context, and answers follow-up questions instantly — cutting merge time by up to 85%. It tracks key metrics and integrates seamlessly with your existing tools to move faster and make better decisions.

PR Descriptions

PR and Commit Description Integration

Plain-English summaries for every PR — know what changed and why.

PR and Commit Description Feature

Code Reviews

Code Review Integration

Catch critical bugs and vulnerabilities — instantly. CloudAEye scans your code in real time to flag important issues, including security risks. It also suggests smart fixes you can apply directly to your PR with a single click. Fix your code — right from GitHub.

Code Review Bug Detection Feature

LLM Security

LLM Security Feature

CloudAEye detects advanced vulnerabilities like indirect prompt injections, where hidden malicious inputs can manipulate AI models, exfiltrate data, or compromise system security. By uncovering these risks in your code and integrations, CloudAEye ensures your AI-driven workflows remain robust against emerging threats.

LLM Security Feature

AI Code Stability & Security

AI Code Security Feature

CloudAEye ensures secure and reliable AI products by detecting vulnerabilities in AI code and offering actionable fixes. Our solution provides essential guardrails for your AI projects, allowing you to progress swiftly and confidently.

AI Code Security Feature

Why CloudAEye?

Self-Hosting of LLMs

CloudAEye can be deployed with a self-hosted LLM, ensuring enhanced data security and addressing any concerns.

Data Privacy

We support CloudAEye to be deployed in “on-prem” mode where all your data (ex. vector database) are hosted in your own account (ex. VPC).

Full Context

CloudAEye has comprehensive knowledge of your codebase and tests, potentially surpassing even your developers' understanding. This enables CloudAEye to deliver higher quality results and solve problems succinctly.

Improved Developer Productivity

Although coding is a developer's primary task, over 60% of their time is spent on activities like testing, deploying, bug fixing, and change management. CloudAEye boosts developer productivity by 15% to 20%, minimizing time lost to work environment obstacles. For a company with a $10 M engineering payroll, this translates to savings of $1.5 M to $2 M.

Zero Day Retention

We prioritize your data's security and confidentiality with zero day retention (ZDR) policy contracts with both OpenAI and Anthropic. Your code remains strictly confidential and is never used for model training. All data transmitted to the models is protected with TLS encryption to ensure security.

User Testimonials

CloudAEye onboarding took only a few minutes. The AI services were great to identify operational issues and provided timely insights. We saved valuable time with the AIOps workflow

Zakaria Swapan, Founder & CEO, Priyo

I like how CloudAEye is using AI to enable faster recovery times in production. Easier on-call and happier SREs!

Satish V, VP & Head of Engineering, AgriTech Startup

CloudAEye's Kosal is the most novel approach of root causing incidents using AI that I have come across. This is a game changer and shapes up the next generation of incident management!

Rajesh B., Sr. Staff Engineer, Enterprise FinTech Company

FAQs

What CI and test frameworks do you support?

We support GitHub, Jenkins, and an extensive list of test frameworks.

  • Python: PyTest, Testify, PyUnit
  • JavaScript: Jest, Cypress
  • Java: jUnit, TestNG
  • Go: Go Test, Testify
  • Kotlin: Kotest, jUnit + Strikt
  • Frameworks with support for many languages.
  • Playwright: TypeScript, JavaScript, Python, .NET, Java
  • Selenium: Java, Python, C#, and Ruby
  • TestCafe: JavaScript, TypeScript, and C#
  • Robot Framework: Python, Java, and .NET (C#, IronPython)
  • Cucumber: Java, JavaScript, .Net
  • Can CloudAEye be deployed where all my data is stored securely in my own account?

    We offer Deploy "In your VPC" mode where all your data is hosted in your own VPC. Additionally, CloudAEye provides several options for running LLMs, tailored to meet your specific needs:
  • Dedicated LLM: Hosted in AWS or through an external GPU provider.
  • Amazon Bedrock Model: Utilize a model from Amazon Bedrock service.
  • Bring Your Own LLM: Supply your own LLM key and provider details, and we'll integrate it into our platform.
  • Is Test Root Cause Analysis free?

    Yes! The individual developer plan for Test Root Cause Analysis is free. For team or enterprise needs, we offer paid plans. For more details, please visit our pricing page.

    What programming languages does CloudAEye support?

    CloudAEye supports all programming languages, with high-quality responses prioritized for Python, JavaScript, TypeScript, Java, Go, C#, C++, C, and Kotlin.

    Can I request to delete any stored data?

    Yes. You may configure a retention policy for all your data.

    Who owns the copyright to the generated code & suggestions?

    You have the sole copyright and ownership over the generated code and suggestions from CloudAEye services.