Generative AI for refactoring and debugging code
Metabob detects, explains, and fixes coding problems created by humans and AI
Available on:
Supported languages:
Metabob raises generative AI to a new level
Metabob utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them - combining the best of both worlds
- Graph Neural Networks (GNNs) utilize an attention mechanism to comprehend both semantic & relational markers, resulting in a more complete representation of the input
- Large Language Models (LLMs, such as GPT) are deep learning models that use billions of parameters & an attention mechanism to predict the most likely token to follow a given input
GNN detects and classifies problematic code with contextual understanding
>
Problematic code along with enriched context is stored in Metabob's backend
>
The stored information from the backend is passed to an integrated LLM
>
The LLM generates a context-sensitive problem explanation and resolution
Trusted by developers at
AI Code Review
Metabob's AI is trained on millions of bug fixes performed by experienced developers. The ability to understand code logic and context, enables Metabob to detect complex problems that span across codebases and automatically generates fixes for them.
Metabob detects hundreds of logical problems, varying from race conditions to unhandled edge cases. Such problems cannot be detected with traditional static analysis tools (e.g., Sonarqube, Deepsource).
Integrate to analyze each pull request to improve code quality, reliability and software security by fixing problems before you merge. No CI setup required.
Software Security Scanning
Before merging code, Metabob ensures that known security vulnerabilities are detected to stay compliant with software security industry standards. In addition, Metabob's AI is able to detect complex security vulnerabilities that require contextual and logical understanding of the code base.
Standards lists:
SANS/CWE top 25, OWASP top 10, MITRE CWE.
Present top features:
- Minimal false positive rate (< 5%)
- Security gate integration
- Secrets scanning
Debug and Refactor
Debug faster by automatically generated code fix recommendations and enforce code quality and best practices with Metabob’s refactoring recommendations.
Debugging
Metabob’s ability to analyze complete code bases allows it to generate context-sensitive code recommendations for found bugs and code smells.
Refactoring
Metabob enforces code quality and best practices by offering refactoring recommendations for areas with messy and ineffective code, ultimately reducing the creation of technical debt and optimizing LOC performance.
Self-hosted
Metabob can be deployed on-premise on your organization’s private cloud and customized to detect problems that are the most relevant to your team.
Metabob outperforms
traditional static code analysis tools
such as Sonarqube and linters
After analyzing the whole codebase, Metabob uses generative AI to facilitate code review and improve software security
Increased developer productivity
Higher detection rate of critical errors
Error type:
App unable to start new threads after run period
40
Error type:
Data is overrepresented in certain batches
2.5
Error type:
App using 100% available CPU on certain setups
1.25
Supported Languages
Metabob is different from ChatGPT & CoPilot
Instead of generating code based on prompts, Metabob analyzes and fixes existing code
- Metabob's AI automatically identifies and explains regions of code that are likely to contain specific types of issues from their structural and semantic relationships
- Metabob feeds problematic code, its explanation, and contextual information along with test cases to generative AI models
- Without user input, Metabob generates context-sensitive code recommendations to fix detected problems
Get started with Metabob today!
Hear what our users say
Don't take our word for it, take theirs.
I absolutely love this and think it's truly ground breaking!
I used Metabob and I'm surprised: Metabob helped me to fix a bug that I previously spent 2 hours on.
Omg - This is super amazing, more like a super power for developers and data scientists
I generally feel that there should be more tools like this. I tried it for one of my projects and it spotted 3 actual problems with my code - wow!
Proudly partnering with organizations at
Book a 1-on-1 Demo
Schedule a demo, and one of our executive team members will walk you through the product!