Try the Antithesis autonomous testing platform and find bugs in your software with perfect reproducibility
A new era for software testing - <antirez>
How Antithesis Turned exe into a Sandbox for Agentic Software Tests - exe.dev blog
Carl Sverre spends a lot of time thinking about how to give AI agents the right amount of power. Give them too little, and they can’t do real work. Give them too much, and they might blow up your tech stack. As a software engineer at Antithesis, an autonomous software testing platform, that question is core to how Sverre thinks about designing tools in the era of advanced AI.
Hypothesis, Antithesis, synthesis
Introducing Hegel, our new family of property-based testing libraries.
Agent autonomously debugging Hashicorp Raft bugs using the Multiverse Debugger API
Ephemeral testing
We have many ways to ensure software quality. Unit testing. Fuzz testing. Integration testing. And so forth. I'd like to propose a method that was unthinkable before: ephemeral testing. (Ephemeral is a fancy word for 'throw away' or 'temporary'.) You write your code. You build your software component. Or the AI agent does … Continue reading Ephemeral testing
Test-Driven Approaches to Software Engineering with Large Language...
Tests increasingly participate in the decisions made by large language models and software engineering agents. They specify intended behavior, guide program construction and repair, select...
Enosis Solutions - Software Development and Testing Services
We design, build, test, modernize, and scale software across the entire product lifecycle, combining deep technical expertise with an AI-accelerated build process.
morluto/rea
Reverse engineer anything with agents, from app behavior down to native binaries.
Web testing and quality for teams and AI agents | Cypress
Your AI writes the code. Cypress proves it works: end-to-end tests in a real browser, failures you can rewind, and coverage and accessibility on every run.
Code Worth Writing - Ray Myers | SSW 2026
Tests Are The New Moat | Daniel Saewitz
As AI becomes better at cloning people's open source work, what ends up becoming most valuable are software contracts, tests, and API surface area. This clashes the incentives of clearly defining your commercialized open source software with protecting it.
AgentScan - GitHub Automation Detector
An open experiment in detecting automation patterns on GitHub
MirrorCode: A benchmark for real-world software projects
Hypothesis: A new approach to property-based testing
The property-based testing library for Python
Microsoft Struggling With Hundreds of AI-Discovered Security Bugs — ProPublica
Anthropic’s Mythos has flagged bugs faster than Microsoft can fix them. Documents reviewed by ProPublica reveal the tech giant's “mad dash” behind the scenes to patch holes before hackers can find and exploit them.
</> htmx ~ Codin' Dirty
In this article, Carson Gross discusses an alternative approach to software development that challenges the principles outlined in 'Clean Code.' Carson advocates for allowing larger functions in certain cases, preferring integration tests over unit tests, and minimizing the number of classes and interfaces. He shares examples from successful software projects that demonstrate these practices can lead to maintainable, high-quality code.