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Metabob Review legacy codebases with AI

What is Metabob?

Metabob leverages Graph Neural Networks (GNNs) to provide a comprehensive understanding of code logic and context across large codebases. This technology enables effective debugging and refactoring, assisting organizations in managing technical debt. Unlike Large Language Models (LLMs), Metabob can analyze an entire codebase, connecting problems to their relevant context and understanding the overall impact of different issues.

The platform offers real-time analysis of new code to identify potential bugs early in the development process, saving time and preventing costly fixes. It validates the correctness and cohesion of AI-generated code, and can be customized to meet an organization's specific needs when deployed on-premise.

Features

  • AI Static Code Analysis: Analyzes complete codebases with contextual understanding.
  • Debug & Refactor Legacy Code: Identifies bugs and suggests fixes in large, complex legacy code.
  • Review New Code: Analyzes new code in real-time to identify potential bugs early.
  • Validate AI-generated Code: Scans AI-generated code for bugs and validates cohesion.
  • Use Case Customization: Adaptable to customer specific use case when deployed on-premise.
  • GNN Technology: Uses Graph Neural Networks to understand code context.
  • CI/CD Integration: Integrates into CI/CD pipelines for automated code reviews.

Use Cases

  • Debugging and refactoring legacy code.
  • Real-time code review for new code.
  • Validation of AI-generated code.
  • Customized code analysis for specific organizational needs.

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