Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...

Programming is the oxygen that powers tech platforms and software creation. Traditionally, computer programming is heavy on the use of human professionalswho write code that instruct a computer, tech ...

AI is cementing itself as a vital, part of our world and it is clear there is a need to adapt to an AI world or risk getting ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Open-source data and machine learning tools mean the challenge is not information scarcity but information overload ...

Software supply chain attacks are evolving as open source and AI-generated code introduce new third-party risks. Learn how visibility and shift-left security reduce exposure.

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...