A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Developers are leaning more heavily on AI for code generation, but in 2026, the development pipeline and security need to be ...

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, ...

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 ...

With a new year upon us, software-security experts disagree on SBOM utility — in theory, SBOMs are great, but in practice, ...

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

The quality of AI-generated artifacts and answers improves when certificates are demanded, even if the evidence provided by ...

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

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 ...

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.

If the latest code dumps are correct, Apple will kick off its 50-year milestone with a full-court press on the smart home.