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 ...
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 ...
Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...
Context is the bedrock on which meaningful interactions are built. We’re at the brink of a major shift in AI. What began as simple, task-specific models is now evolving into something far more ...
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 ...
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 ...
OpenAI’s GPT-5.2-Codex advances software engineering with better reasoning and context understanding
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 ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. You would be hard-pressed to say that one or the other is ...
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 ...
While prompt engineering will remain vital, getting consistent, situationally aware results from AI models will require IT teams to build context ingestion processes for agentic AI. Organizations ...
What if the key to unlocking the full potential of AI agents wasn’t just in how we program them, but in how we teach them to think within their limits? As artificial intelligence systems become more ...
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