Metabob

Metabob: AI Code Review for Robust and Maintainable Code

Metabob is an AI-powered code review tool designed to help companies enforce robust, secure, and maintainable code in both AI-generated and legacy applications. By leveraging Graph Neural Networks (GNNs), Metabob provides a comprehensive analysis of entire codebases, enabling development teams to understand code logic and context, determine the impact of problems, and ultimately improve code quality and developer productivity.

What is Metabob?

Metabob is an AI code review tool that uses a combination of graph-attention networks and generative AI to address code complexity in legacy software systems and new code. It allows for the analysis of an entire codebase at once, rather than individual files, providing a holistic view of the application's structure and data flow.

How does Metabob work?

Metabob utilizes Graph Neural Networks (GNNs) to perform static code analysis. This approach allows it to:

• Analyze entire codebases: Instead of reviewing individual files in an editor, Metabob can analyze the entire codebase at once.
• Understand code logic and context: It comprehends the logic and context of large AI-generated and legacy software systems.
• Determine the impact of problems: It identifies the impact of different problems on the entire codebase.

Key Features and Benefits:

• Comprehensive Codebase Analysis: Metabob analyzes the entire codebase, providing a holistic view of the application's structure and data flow.
• Contextual Understanding: The tool understands the logic and context of large AI-generated and legacy software systems.
• Impact Analysis: Metabob identifies the impact of different problems on the entire codebase, allowing developers to prioritize fixes.
• Debugging and Refactoring: It assists in debugging and refactoring legacy code by identifying potential bugs and suggesting fixes.
• New Code Review: Metabob helps ensure the quality of new code by identifying potential issues before they make it into production.
• AI-Generated Code Validation: It validates AI-generated code, ensuring that it meets the organization's coding standards and security requirements.
• Customizable Use Cases: Metabob can be customized to fit specific use cases, allowing organizations to tailor the tool to their needs.

Who is Metabob for?

Metabob is ideal for:

• Organizations with large, complex codebases.
• Development teams working on legacy applications.
• Companies using AI to generate code.
• Teams looking to improve code quality and reduce technical debt.

Why Choose Metabob?

Compared to LLM-based tools like CodeRabbit, Korbit AI, and CopilotChat, and rules-based tools like Sonar, DeepSource, and Coverity, Metabob offers several advantages:

• Stronger Contextual Understanding: Metabob excels in analyzing complex codebases with a strong contextual understanding and retention.
• High Detection Rate: It boasts a high detection rate of runtime errors.
• Accurate Problem Descriptions and Resolutions: Provides accurate context-sensitive problem descriptions and resolutions.
• Adaptability: Highly adaptable to customer's specific use cases.
• Requires Minimal Human Input: Problem detection requires minimal human input, streamlining the code review process.

What problems does Metabob solve?

Metabob addresses the challenges associated with:

• Reviewing entire software systems for potential bugs.
• Understanding the structure and data flow of complex applications.
• Maintaining legacy code.
• Validating AI-generated code.

How to get started with Metabob?

To get started with Metabob, you can:

1. Book a demo.
2. Contact Sales.
3. Request a White Paper.

Customer Testimonial

Ryo Kaneko, Director of Innovations at NEC X, highlights the effectiveness of Metabob:

"The software has proven to be intuitive, robust, and highly effective in meeting our needs. It has significantly contributed to improving our code quality and increased the productivity of our software developers."

By using Graph Neural Networks, Metabob turns legacy code maintenance into a manageable task, making it a valuable asset for organizations seeking to maintain robust and secure codebases.

In conclusion, Metabob is an AI-powered code review tool designed to help companies enforce robust, secure, and maintainable code in both AI-generated and legacy applications. By leveraging Graph Neural Networks (GNNs), it provides a comprehensive analysis of entire codebases, enabling development teams to understand code logic and context, determine the impact of problems, and ultimately improve code quality and developer productivity.