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 ...

Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based on context....Read More The post ...

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

Since ChatGPT made its debut in late 2022, literally dozens of frameworks for building AI agents have emerged. Of them, ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

A company that provides specialized consulting, metallurgical engineering, and digital solutions to the global mining industry is seeking a QA Automation Engineer who will be the strategic owner of ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

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 ...

Build automations that will last a long time.

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 ...

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 ...