Metabob — AI Code Review Tool

Metabob is an AI tool that leverages generative AI and graph-attention networks to conduct code reviews and enhance software security. It detects, explains, and repairs coding issues generated by humans and AI. Additionally, Metabob can recognize and categorize hundreds of contextual code problems which traditional static code analysis tools might miss.

Metabob improves software security by detecting and explaining code problems, and then suggesting fixes. It can prevent known security vulnerabilities from being merged into the main codebase. Metabob is also compliant with major software security industry standards such as SANS/CWE top 25, OWASP top 10, and MITRE CWE.

Metabob uses a proprietary Graph Neural Network that employs an attention mechanism to comprehend both semantic and relational markers for a thorough representation of the input. Once a problematic code is detected and classified, the data is stored in Metabob's backend. A Large Language Model subsequently uses the stored information to generate a context-sensitive problem explanation and resolution.

Metabob can detect and classify hundreds of contextual code problems, ranging from race conditions to unmanaged edge cases. These include issues that traditional static code analysis tools might overlook.

Metabob's AI is trained on millions of bug fixes that were completed by experienced developers. This training enables it to understand the root causes of many context-based problems, continually improving its ability to detect and fix code issues.