Metabob Frequently Asked Questions

Metabob Frequently Asked Questions. Metabob is a generative AI tool that uses a combination of graph-attention networks and generative AI to automate and improve code reviews. It helps detect and fix coding problems created by humans and AI, improving software security and developer productivity.

FAQ from Metabob

What is Metabob?

Metabob is an AI tool that uses a combination of graph-attention networks and generative AI to automate and improve code reviews. It helps detect and fix coding problems created by humans and AI, improving software security and developer productivity.

How to use Metabob?

To use Metabob, you can get started by installing the VS Code extension or integrating it with your GitHub, BitBucket, or GitLab repositories. Once integrated, Metabob utilizes its proprietary graph neural networks to detect problematic code, which is then passed to a large language model (LLM) to generate context-sensitive explanations and resolutions. Metabob can be used for static code analysis, debugging code, code review facilitation, and code optimization.

What programming languages does Metabob support?

Metabob supports Python, JavaScript, TypeScript, C++, C, and Java.

Can Metabob be used for software security scanning?

Yes, Metabob can detect known security vulnerabilities and help ensure compliance with industry standards such as SANS/CWE top 25, OWASP top 10, and MITRE CWE.

Is Metabob suitable for large codebases?

Yes, Metabob is capable of analyzing complete codebases and provides context-sensitive code recommendations and refactoring suggestions.

Can Metabob be deployed on-premises?

Yes, Metabob can be deployed on-premises on your organization's private cloud, allowing for customization and privacy.