Jazzberry is an AI-powered agent designed to help developers quickly find and fix software bugs. Leveraging advanced machine learning models, Jazzberry automates the process of bug detection and resolution by training large language models (LLMs) to act as expert bug finders, writing code, executing commands, and running iterative tests directly on codebases—especially within pull requests.
The platform stands out by enabling real code execution, allowing Jazzberry to uncover even the most complex or hidden bugs that static analysis might miss. Developers can integrate Jazzberry with GitHub to automatically receive bug reports as part of their workflow, streamlining code review and quality assurance processes.
How Was Jazzberry Started?
Jazzberry was founded in 2025 by Marco Dewey and Mateo Perez in San Francisco, California. The founders set out to address the persistent challenge of efficiently identifying and fixing bugs in modern software development by leveraging the latest advancements in artificial intelligence and real code execution.
Who Uses Jazzberry?
Jazzberry is designed primarily for software developers, engineering teams, and organizations looking to improve their code quality and accelerate the bug-fixing process. While specific customer names are not publicly listed, the tool integrates with platforms like GitHub, making it accessible to a wide range of development teams working on collaborative codebases.
What Makes Jazzberry Different?
- Utilizes state-of-the-art machine learning and LLMs specifically trained for bug detection
- Performs real code execution to identify issues that may be missed by static analysis
- Automates the writing of code, running of commands, and iterative testing on pull requests
- Seamlessly integrates with GitHub for automated bug reporting
Who Are Jazzberry's Competitors?
Jazzberry operates in the broader market of AI-powered code analysis and developer tools. Competitors may include other AI code review solutions, automated static analysis tools, and platforms that offer code quality insights. However, Jazzberry distinguishes itself with its focus on real code execution and iterative testing tailored to pull requests.
Leadership Team
Jazzberry was founded by Marco Dewey and Mateo Perez, who bring expertise in AI, software engineering, and the challenges of modern development workflows.
For more about Jazzberry’s story and vision, visit their About page.
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