Companies are realizing that higher AI productivity does not come from using bigger models, but rather from using AIs that understand the context they operate in. Context helps AI interpret ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. Enterprises have spent the past two years ...

As large language models (LLMs) become increasingly sophisticated, a new discipline is emerging that goes far beyond traditional prompt engineering: context engineering. This evolving practice ...

Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI CRM. Context engineering has emerged as one of the most critical skills in ...

Context engineering is quickly becoming the backbone of modern artificial intelligence as organizations push for systems that stay accurate, grounded and predictable while handling increasingly ...

There’s a quiet but profound transformation underway in how businesses interact with backend systems. It’s not a flashy app or piece of consumer technology - it’s happening at the infrastructure level ...

To date, vibe coding platforms have largely relied on existing large language models (LLMs) to help write code. However, writing code is only one of many different tasks developers need to perform to ...

Magic is building frontier code models to automate software engineering and research. This AI coding assistance startup raised $320 million in a funding round led by former Google CEO Eric Schmidt.

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

In Christopher Nolan’s film Memento from the early 00s, the protagonist has lost his short-term memory and must try to solve a mystery by leaving himself notes — because each time he sleeps, his ...