Jazzberry

Jazzberry

AI-powered tool for detecting bugs through real code execution on pull requests.

About Jazzberry

Jazzberry is an advanced AI agent designed to identify bugs in code by executing real code during pull request reviews. It seamlessly integrates with GitHub, automatically generating detailed bug reports to enhance code quality and security. Formerly known as Prophet, Jazzberry is trusted by innovative organizations for its accuracy and security in code analysis.

How to Use

When a pull request is created, Jazzberry clones the repository into a secure sandbox environment. Its AI engine analyzes the code, writes and executes commands, and observes the results. It performs targeted tests to identify bugs and then presents findings in a clear, tabular report. The entire process is automated for efficiency and security.

Features

  • Generates comprehensive bug reports in table format
  • Uses end-to-end SSL encryption for secure data transfer
  • Performs ephemeral reviews, ensuring code is not stored after analysis
  • Detects critical security issues like SQL injection, API key leaks, and authentication bypasses
  • Automatically creates bug reports on pull requests
  • Identifies functional and user experience bugs such as navigation failures
  • Executes real code within a secure sandbox for accurate testing
  • Performs targeted testing based on code context
  • Allows AI to write, execute, and analyze code and commands
  • Leverages AI to efficiently find and diagnose bugs

Use Cases

  • Verifying code correctness and preventing runtime errors like missing API specifications
  • Automatically detecting security vulnerabilities such as SQL injection and API key leaks
  • Fixing navigation and usability issues to improve user experience
  • Streamlining code review workflows with automated bug reports
  • Reducing operational costs by identifying inefficient code segments

Best For

Quality Assurance EngineersDevOps TeamsSecurity-Focused OrganizationsDevelopment TeamsSoftware DevelopersSecurity Analysts

Pros

  • Enhances security by detecting vulnerabilities like SQL injection and API key leaks.
  • Provides detailed bug reports with actionable test cases.
  • Ensures data privacy with ephemeral reviews and encrypted data transfer.
  • Reduces operational costs by identifying inefficient code.
  • Detects real bugs quickly and accurately.
  • Integrates smoothly with GitHub pull requests.
  • Improves code quality and prevents runtime errors.

Cons

  • No specific disadvantages mentioned.

Pricing Plans

Choose the perfect plan. All plans include 24/7 support.

Free Trial

$0.00 per month per developer

Try Jazzberry free for 7 days. Access all features, including real bug detection. Sign in required to install.

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Most Popular

Jazzberry Pro

$20.00 per month per developer

Includes unlimited pull requests and repositories, AI-powered testing on every PR, bug report generation, real input testing, and email support. Sign in required to subscribe.

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Enterprise

Custom Pricing

Designed for large teams, offering self-hosting, onboarding, dedicated support, and backend model options. Requires scheduling a consultation.

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FAQs

What is Jazzberry?
Jazzberry is an AI tool that automatically detects bugs by executing code during pull request reviews, providing detailed bug reports.
How does Jazzberry protect my code's security and privacy?
Jazzberry clones your repository into a secure, isolated sandbox for analysis. All data is transmitted with end-to-end encryption, and code is not stored after review.
What types of bugs can Jazzberry identify?
Jazzberry detects security issues like SQL injection, API key leaks, and authentication bypasses, along with functional bugs such as navigation failures.
Is there a free trial available for Jazzberry?
Yes, Jazzberry offers a 7-day free trial that includes full access to all features of the Pro plan.
Can Jazzberry integrate with my existing development workflow?
Yes, Jazzberry seamlessly integrates with GitHub pull requests, enabling automated code review and bug detection within your existing process.