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 ...

2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...

Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...

OpenAI Group PBC today released a new version of GPT-Codex, its agentic artificial intelligence coding model that’s designed to automate complex software engineering tasks. The latest version, GPT-5.2 ...

What if the secret to unlocking AI’s full potential wasn’t about writing better prompts or relying on intuition, but instead lay in a methodical, structured approach that eliminates guesswork? Enter ...

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 ...

What if the key to unlocking the full potential of artificial intelligence lies not in the models themselves, but in how we frame the information they process? Imagine trying to summarize a dense, 500 ...

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 ...

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 ...

Every great leap in computing has reshaped not just technology but also the industries built around it. When microprocessors became the heart of enterprise computing, services firms flourished by ...