Mutahunter

Advanced LLM-based open source language-agnostic mutation testing tool.

AI-driven mutation testing tool that generates contextually relevant mutants to increase code quality and empower your development process.

• AI-Powered Mutations: Mutahunter uses advanced LLM models to inject context-aware faults into your codebase, closely resembling real vulnerabilities.
• Context-Aware Fault Injection: Leverages LLMs to understand the context of your code, enabling precise and relevant fault injections that enhance test effectiveness.
• Language Agnostic: Supports multiple programming languages, making it a versatile tool for any development environment.
• Self-Hosted Option: Offers a self-hosted option for users concerned about sending their code to external LLM providers.
• Integration with Tree-Sitter: Utilizes Tree-Sitter for robust code parsing and analysis, ensuring accurate and efficient mutation testing.
• Detailed Coverage Reports: Generates comprehensive coverage reports, identifying weaknesses in your test suite through survived mutants.