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Metabob

Metabob

Metabob automates code reviews, improving software and developer productivity.

graph-attention networkscode reviewssoftware security
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Introduction

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.

What stands out?

Generative AI for code refactoring and debugging
Graph-attention networks for code review facilitation
Static code analysis for software security
Debugging code with automatically generated recommendations
Code refactoring recommendations for code quality improvement
Project metrics for code quality and team productivity evaluation
Self-hosted deployment for customization and privacy

Frequently Asked Questions

What is Metabob?

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.

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.

More Information

Metabob Support Email & Customer service contact & Refund contact etc.

More Contact, visit the contact us page(https://metabob.com/contact.html)

Metabob Company

Metabob Company name: Metabob . More about Metabob, Please visit the about us page(https://metabob.com/about.html).

Metabob Login

Metabob Login Link: https://metabob.com/login/metabob

Metabob Pricing

Metabob Pricing Link: https://metabob.com/pricing.html

Metabob Facebook

Metabob Facebook Link: https://www.facebook.com/

Metabob Youtube

Metabob Youtube Link: https://www.youtube.com/

Metabob Linkedin

Metabob Linkedin Link: https://www.linkedin.com/

Metabob Twitter

Metabob Twitter Link: https://twitter.com/

Metabob Instagram

Metabob Instagram Link: https://www.instagram.com/

Metabob Whatsapp

Metabob Whatsapp Link: https://www.whatsapp.com/

Metabob Github

Metabob Github Link: https://github.com/marketplace/metabob-app/

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Use Cases

  • Automating and improving code reviews
  • Enhancing software security through static code analysis
  • Debugging and optimizing code performance
  • Refactoring code for better maintainability and code quality
  • Evaluating project metrics for productivity and code quality analysis

How to Use

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.