Metabob

Metabob is a powerful AI tool that uses generative AI and graph-attention networks to improve and automate code reviews. It can detect, explain, and fix coding problems in various programming languages, including Python, Javascript, C++, and Java. Metabob combines graph neural networks (GNNs) to understand both semantic and relational markers, and large language models (LLMs) like GPT to predict the most likely token to follow a given input. This unique combination enables Metabob to detect and classify problematic code with contextual understanding. It can analyze pull requests to improve code quality, reliability, and software security, detecting hundreds of logical problems that traditional static code analysis tools often miss. Metabob can also scan for security vulnerabilities, generate code fix recommendations for debugging, provide refactoring suggestions to enhance code quality, and offer project metrics to get insights about code quality, reliability, and team productivity. It outperforms other tools like SonarQube and linters and aims to increase developer productivity and detection rate of critical errors. Metabob can be self-hosted on an organization"s private cloud, and it can be customized to address specific problems relevant to the team. Overall, Metabob is a comprehensive AI tool for code review, security scanning, debugging, refactoring, and project analysis, helping developers and teams write better code and improve software quality.