mutahunter

Check out our project Mutahunter - we made use of LLMs to do the mutations at the AST level - https://github.com/codeintegrity-ai/mutahunter

This is exactly what we are doing with Mutahunter, AI is exceedingly good at writing edge case tests to test code and will only continue to get better at this. Check out Mutahunter here https://github.com/codeintegrity-ai/mutahunter

For full project check out https://github.com/codeintegrity-ai/mutahunter

Accelerate developer productivity and code security with our open-source AI https://github.com/codeintegrity-ai/mutahunter TLDR; Mutahunter is an open-source tool that boosts developer productivity by accurately identifying code bugs and generating test cases to specifically test against these code bugs. Problem: Everyone wants to ship code faster, but as code grows more complex so does software testing. Software teams spend 40% of their dev time software testing. Software testing is the biggest bottleneck to shipping code and the recent Crowdstrike incident has shown has shown that there are catastrophic consequences from skipping good software testing. Solution: Use Mutahunter to generate unit tests for your codebase, that specifically target the code vulnerabilities. By targeting the exact weaknesses in the code, we boost developer pr

There's no excuse in today's world to not write fantastic unit tests especially with LLMs. Plug for how we enable that here https://github.com/codeintegrity-ai/mutahunter

It's wild that I'm out here boosting existing unit testing practices with mutation testing https://github.com/codeintegrity-ai/mutahunter and there are folks out there that don't even do the basic testing.

CrowdStrike today has shown why it's absolutely crucial to test code before deployment, say no to YOLO deployments with LLM powered software testing https://github.com/codeintegrity-ai/mutahunter

Hello everyone! I’m thrilled to announce the latest feature from Mutahunter.ai, the ultimate tool for finding and fixing weaknesses in your code. We’ve designed Mutahunter to leverage mutation testing powered by advanced LLMs, helping you uncover vulnerabilities and enhance your code quality effortlessly. Introducing our newest feature: Detailed Mutation Testing Reports! After running our mutation tests, Mutahunter now generates comprehensive reports that clearly summarize: • Vulnerable code gaps • Test case gaps These reports significantly reduce the cognitive load on developers by providing an easy-to-read summary of critical insights, enabling you to focus on what matters most—improving your code. We are proud to be completely open-source, and we invite you to check us out on GitHub: https://github.com/codeintegrity-ai/mutahunter

Hey HN, Steven here from CodeIntegrity https://github.com/codeintegrity-ai/mutahunter We’re obsessed with automating software testing, specifically mutation testing, and have been frustrated with its slow adoption despite its proven success. I have a pretty different perspective on mutation testing and have shared my thoughts on its current state - https://www.jungsteven.com/blog/2024-07-03-past-present-future-mutation-testing Over the past few months, we’ve developed a new mutation testing tool that’s easy to use and compatible with any programming language. We believe LLM-based injections are the future for generating relevant faults and automating the process of analyzing surviving mutants to better fix bugs and improve test suites. Our approach to mutation testing is as follows: first, use Extreme Mutation Testing to cover all pseudo-

Hey, we are announcing a Cash Bounty Program to build out some high-priority features for Mutahunter More details here: https://github.com/codeintegrity-ai/mutahunter#cash-bounty-p...

Background: We were inspired by how aider.chat was making use of pageranked AST and realized that we can use this to power high quality mutation testing using LLMs. Check it out!

clickable link https://github.com/codeintegrity-ai/mutahunter

Hey HN, Check out our open-source, language-agnostic mutation testing tool using LLM agents here: https://github.com/codeintegrity-ai/mutahunter Mutation testing is a way to verify the effectiveness of your test cases. It involves creating small changes, or “mutants,” in the code and checking if the test cases can catch these changes. Unlike line coverage, which only tells you how much of the code has been executed, mutation testing tells you how well it’s been tested. We all know line coverage is BS. That’s where Mutahunter comes in. We leverage LLM models to inject context-aware faults into your codebase. As the first AI-based mutation testing tool, Mutahunter surpasses traditional “dumb” AST-based methods. Our AI-driven approach provides a full contextual understanding of the entire codebase, enabling it to identify and inject mutation