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

There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...

You might be staring at your budget, wondering how you’re supposed to cover rent, debt, and everything else on $20–$25 an ...

Calgary is cementing itself as one of Canada's top exotic pet hot spots, according to hobbyists, but reptiles and arachnids ...

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

AI’s financing boom is like a “pig going through a python.” TD Asset Management’s Anthony Foss discusses opportunities and ...

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

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...

Discover the leading mobile application testing tools for DevOps teams in 2025, aimed at enhancing performance, stability, and agile release cycles for businesses worldwide.

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 CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The ...

Aniruddha Vyawahare has spent over ten years right where streaming tech, big data, and keeping things running smoothly all collide. He’s led teams through chaos—think millions of people streaming at ...