AI Code Review with Metabob
Metabob is a revolutionary AI code review tool that takes code analysis to a new level. It utilizes proprietary graph neural networks (GNNs) and large language models (LLMs) to detect, explain, and fix coding problems. The GNNs use an attention mechanism to understand both semantic and relational markers, providing a more comprehensive representation of the input. Meanwhile, the LLMs are employed to generate context-sensitive problem explanations and resolutions.
Metabob is trained on millions of bug fixes by experienced developers, enabling it to understand code logic and context. It can detect complex problems that span across codebases and automatically generate fixes for them. This is a significant advantage over traditional static analysis tools like Sonarqube and Deepsource, which often struggle to detect such issues.
With Metabob, developers can integrate the tool to analyze each pull request and improve code quality, reliability, and software security. It saves valuable time in the debugging process, as demonstrated by the examples of various error types and the time saved in resolving them.
Unlike other AI tools like ChatGPT and CoPilot, Metabob focuses on analyzing and fixing existing code rather than generating code based on prompts. It automatically identifies and explains regions of code likely to contain specific types of issues based on their structural and semantic relationships. Without user input, Metabob generates context-sensitive code recommendations to fix detected problems.
Users have expressed their enthusiasm for Metabob, with one tech lead and software developer, Jonathan De Kock, describing it as 'ground-breaking'. Proudly partnering with organizations, Metabob offers a 1-on-1 demo for those interested in experiencing its capabilities firsthand.
