Context engineering is the practice of deliberately designing and managing the information, instructions and memory an AI model receives, going beyond writing individual prompts.
This episode of the M365.FM Podcast — “The Architecture of Persistent Context: Why Episodic AI Is Slowing You Down” — explains that persistent context is not a convenience feature but a foundational architectural layer that determines whether AI systems can…
What happens when AI agents become the whole software team? Mirko Peters talks with Mark Smith (NZ365Guy) about his OpenClaw-based AI software factory, Ralph loops, governance and why context engineering matters more than prompts. A practical look ahead for…
Why do so many Microsoft 365 Copilot projects fail — even when the prompts look fine? In this episode, we explain why the real issue is not prompt engineering, but context engineering. Most AI failures are not model failures. They are context failures. When…
AI has moved from autocomplete to agents that plan and write most of the code, and developers wonder what is left for them. Microsoft MVP Andre Baltieri shares how he builds with AI coding agents, Microsoft Agent Framework and .NET, and why context, RAG and…
Timeline of episodes about Context engineering
Frequently asked questions
Why is context engineering more important than prompt engineering?
Short info above, community knowledge below: add practical tips, examples or corrections. New contributions are reviewed first; trusted members publish directly.
Experts and companies for this topic
Nobody has listed this topic yet. Add it to your profile.