AI code review for refactoring and debugging
Metabob detects, explains, and fixes coding problems created by humans and AI
Available on:
Supported languages:
Metabob excels in reviewing large legacy codebases
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, and analyze the data flow through the existing codebase architecture, enables Metabob to detect unique problems in your codebase.
Metabob's AI code review detects hundreds of logical problems, varying from race conditions to unhandled edge cases.
Analyze large legacy codebases automatically to receive feedback of problematic code sections across the project.
Runtime Error Detection
Metabob understands the behavior of your code and focuses on detecting errors that are likely to occur in runtime.
Example runtime errors detected:
- Race conditions
- Memory leaks
- Unhandled edge cases
- Performance bottlenecks
- Resource management issues
... and more
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.
Use Case Customization
When deployed on-premise, Metabob can be tuned to your organization's specific use case by allowing it to understand which problems matter the most to you.
Metabob can be tuned by enforcing specific detection categories relevant to your use case, or by utilizing your organization's existing commit & bug fix history.
Connecting Graph Neural Networks
to Generative AI
Metabob utilizes proprietary GNNs to detect runtime errors and LLMs to explain and resolve them - early in the software development cycle
- 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
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Problematic code along with enriched context is stored in Metabob's backend
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The stored information from the backend is passed to an integrated LLM
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The LLM generates a context-sensitive problem explanation and resolution
Supported Languages
Deploy on-premise
Next to our SaaS version, Metabob can be installed on-premise to supercharge your engineering team:
- Metabob reviews huge legacy codebases with ease and points out problematic code segments
- Integrated in engineering workflows, Metabob prevents new errors from making it to production
- Metabob can be customized to companies' specific use cases through additional training
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.
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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!
Get started with Metabob today!
Book a 1-on-1 Demo
Schedule a demo, and one of our executive team members will walk you through the product!