I have released version 0.4.0 of my test framework slicetest to npm.This time, I didn't decide the content of the ...

Summary of the previous installment As the second half of STEP 1.0, I wrote about how to convert COBOL to Python and verify ...

For stochastic models that can generate different outputs from identical inputs, property-based testing helps identify which ...

AI systems need more than pass/fail tests. Here’s how QE now spans data validation, model robustness, LLM evals, regression ...

Learn how to apply Clean Architecture in Python without overengineering, using domain entities, use cases, Protocols, and ...

Flet 1.0: build web, desktop and mobile apps in Python with declarative UI, bundled Python 3.12 to 3.14, on device testing and MCP tools.

Python's support for multithreaded programs has improved considerably over the last few years with the advent of the "free-threaded" version of the language. But testing multithreaded programs is ...

PentestGPT is an open-source penetration testing agent that points a large language model at a target and lets it work. In its default mode it runs recon, then exploit, then walkthrough, each stage ...

Backtesting acts as an important link between strategy development for trading and live trading, ensuring that algorithmic systems perform well in genuine market conditions. Python is a great enabler ...

Microsoft has open sourced code-testing-generator, a polyglot agent that writes unit tests and then proves they work. It ships in the dotnet-test plugin inside the MIT-licensed dotnet/skills ...

The voluntary review process will cover closed-source artificial intelligence models, but exclude those that publish the underlying code. By David McCabe Mike Isaac Kate Conger and Ana Swanson David ...

The White House has a framework for how to review advanced AI models, according to an administration official, but did not detail it or say whether it would be released to the public. AI companies are ...