This application acts as an AI companion for developers. It boosts developer productivity with AI that understands your codebase.

1. Test Analysis: Automatically analyzes test failures, identifies root causes, and suggests fixes.
2. Code Review: Conducts thorough code reviews, highlighting security vulnerabilities and addressing LLM and AI code-related concerns.
3. Code-aware Bot: Generates commit messages, explains pull requests, and interactively answers code-related questions.

Capabilities

• Identifies root causes, and suggests fixes for a failed test
• Identifies flaky tests that are intermittently failing
• Intelligently group failures and automate triaging of tests
• Conducts thorough code reviews
• Highlights security vulnerabilities
• Identifies LLM and AI code-related concerns
• Generates commit messages
• Explains pull requests
• Answers code-related questions

Benefits

• Streamline Debugging: Automates debugging and fixing of test failures. It automates the triaging, and detection of many other common use cases such as flaky tests, library-related failures, dependent service failures, tests spanning multiple repositories, etc.
• Code Quality: Provides instant feedback on best practices and error detection.
• Security: Identifies security vulnerabilities, LLM, and AI code-related concerns.
• Knowledge: Answers questions on your code base.

Getting Started

• Requirements: Supports GitHub, GitHub Actions, and Jenkins.
• Plan: Individual developers may use the free tier. Teams and enterprises may choose the paid plans.
• User Permissions: Need to be able to install the GitHub application or Jenkins plugin.
• Availability: GA
• Onboarding: Please see docs

Setup Process:

1. Install the GitHub application.
2. Install and configure the Jenkins plugin if you are using Jenkins.
3. Map your code repositories and GitHub workflows.

Example Prompts

Try these prompts that start with @cloudaeye:

• @cloudaeye analyze-tests: Performs test failure analysis
• @cloudaeye review-code: Reviews code for best practices
• @cloudaeye describe-pr: Adds a description for the pull request (PR)
• @cloudaeye add-commit-message: Adds commit message
• @cloudaeye <question about code>: Answers to user's question