A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...

The hottest discussion in AI right now, at least the one not about Agentic AI, is about how "context engineering" is more important than prompt engineering, how you give AI the data and information it ...

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 ...

As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems ...

There’s no denying the excitement around Model Context Protocol (MCP), an open protocol for connecting AI assistants with external data, tools, and APIs. Since its debut by Anthropic in late 2024, ...

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 ...

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 powerful: multi-turn, reasoning-driven agents that can plan, act and adapt ...

Jared Bowns is Head of Data and AI at Elyxor, helping enterprises turn emerging AI into scalable, real-world business value. Large language models (LLMs) have evolved from novelty to necessity in ...

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 ...

AI coding agent skills library claude-skills ships 345 free, MIT-licensed packages for Claude Code, Codex, Cursor, Gemini CLI ...