Jazzberry
Jazzberry is an AI-powered GitHub bot that finds real bugs in code by running tests in a secure sandbox environment and integrates directly into pull request workflows.
https://jazzberry.ai/?ref=aipure
Product Information
Updated:May 30, 2025
What is Jazzberry
Jazzberry is an innovative bug-finding tool created by Mateo Perez and Marco Dewey that combines artificial intelligence with real code execution to detect actual bugs in software. The tool was developed to address the growing challenge of increased code generation without adequate bug detection capabilities. As an AI agent that integrates directly with GitHub, Jazzberry analyzes pull requests and actively tests code to identify genuine issues rather than just flagging potential problems based on code patterns.
Key Features of Jazzberry
Jazzberry is an AI-powered bug-finding tool that integrates directly with GitHub pull requests. It works by cloning repositories into a secure microVM sandbox where an AI agent examines pull request contents, writes and executes test code, and identifies real bugs through dynamic testing. The tool provides clear bug reports in markdown table format directly as PR comments, focusing on finding actual bugs rather than just potential issues based on code patterns.
Secure Sandbox Testing: Runs code in an isolated microVM environment with end-to-end encryption and ephemeral reviews that are destroyed after use
AI-Powered Dynamic Testing: AI agent can write and execute code, run bash commands, install packages, and observe outcomes to identify real bugs
GitHub Integration: Seamlessly integrates with GitHub pull request workflow to automatically analyze code changes and provide feedback
Comprehensive Bug Reporting: Delivers clear bug reports in markdown table format, categorizing issues by severity (Critical, High, Medium, Low)
Use Cases of Jazzberry
Security Vulnerability Detection: Identifies critical security issues like SQL injection vulnerabilities and authentication bypasses
Cost Optimization: Catches bugs that could lead to increased operational costs, such as compute resource inefficiencies
User Experience Protection: Finds navigation and interface issues that could impact user experience and lead to lost revenue
Pros
Finds real bugs through actual code execution rather than just pattern matching
Strong security measures with encrypted, ephemeral testing environments
Seamless integration with existing GitHub workflows
Cons
Requires code to be shared with third-party service
May have limitations in testing complex system integrations
How to Use Jazzberry
Sign up for Jazzberry: Visit https://jazzberry.ai and sign up for a free trial account
Add Jazzberry to GitHub: Install Jazzberry as a GitHub bot/integration on your repository to enable automated bug detection on pull requests
Create a Pull Request: When you create a new pull request in your GitHub repository, Jazzberry automatically starts analyzing your code
Jazzberry Analysis Process: Jazzberry clones your repository into a secure sandbox environment and examines the contents of the pull request
AI Agent Testing: The AI agent writes and executes code in a microVM to test your changes, looking for potential bugs and security issues
Review Results: Jazzberry returns its findings directly as a markdown table in a comment on your pull request, showing any bugs found with their severity levels and descriptions
Fix Issues: Review the reported bugs and make necessary fixes to your code based on Jazzberry's findings
Iterate: Create new commits or pull requests as needed - Jazzberry will automatically analyze any new changes
Jazzberry FAQs
Jazzberry is an AI agent designed to find bugs in code bases. It integrates directly into GitHub pull request workflows and analyzes code in a secure sandbox environment.
Jazzberry Video
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