NI LabVIEW+ Suite introduces code completion and other powerful capabilities to redefine test development productivity and ...

Python’s packaging ecosystem is under growing strain as development teams move away from pip in production environments, citing performance bottlenecks, fragile dependency resolution and rising ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

As network automation matures, a new breed of hybrid professionals with network engineering and software development skills ...

Your browser has hidden superpowers and you can use them to automate boring work.

QA Automation portfolio featuring Python, Playwright, Pytest, AI-powered automation agent (MCP), workflows, API/DB testing, and scalable test architecture An engineering-grade, LLM-driven pipeline ...

It’s used to summarize product requirements, generate test cases, refine test plan documents, suggest potential API tests, and leverage MCP and AI agents to improve test automation scripts. In some ...

Security tools keep companies’ technology systems safe—but only if they’re working properly. Unfortunately, they may actually give analysts a false sense of security if they’re not performing as ...

Abstract: In modern software development, Python third-party libraries play a critical role, especially in fields like deep learning and scientific computing. However, API parameters in these ...

Tools such as Beautiful Soup help in extracting data from web pages, and Faker can generate test data. Many r/python automation projects focus on making tasks simpler and saving users time. 1.

Bitget has spent the past year positioning itself at the intersection of retail-friendly UX and advanced trading tools. Its newest addition, GetAgent, aims to collapse the gap between analysis and ...