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Context engineering

Concept

Context engineering is the practice of deliberately designing and managing the information, instructions and memory an AI model receives, going beyond writing individual prompts.

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Title graphic: Context engineering (Concept)
TypeConcept
Also known asContext Engineering

Key points about Context engineering

Episodes about Context engineering

Persistent Context Architecture for Copilot and ChatGPT

2026-02-12 · Video on YouTube

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…

The Future of AI Software Factories- OpenCLAW, Agent…

2026-08-14 · Video on YouTube

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…

Build a Copilot That Respects DLP with Context Engineering

2025-11-27 · Video on YouTube

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…

How AI Changed Software Development Forever — Building…

2026-09-03

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…

2025-11-27 – Build a Copilot That Respects DLP with Context Engineering2026-02-12 – Persistent Context Architecture for Copilot and ChatGPT2026-08-14 – The Future of AI Software Factories- OpenCLAW, Agent…2026-09-03 – How AI Changed Software Development Forever — Building…2025-112026-09
Timeline of episodes about Context engineering

Frequently asked questions

Why is context engineering more important than prompt engineering?

According to the episode, context engineering is becoming more important than basic prompt engineering as agents and multiple models need the right context to work. · From the episode: The Future of AI Software Factories- OpenCLAW…

What is context engineering for Copilot?

It is the systematic design, management and governance of all information Copilot has access to. The goal is accurate, stable and trustworthy outputs rather than just better prompts. · From the episode: Build a Copilot That Respects DLP with Context…

How is context engineering different from prompt engineering?

Prompt engineering shapes how you ask, while context engineering manages what the AI knows. It covers data sources, instructions, memory and workflows. · From the episode: Build a Copilot That Respects DLP with Context…

What are key components of context engineering?

The show notes list system instructions, relevant data sources, memory and dynamic workflows that keep information fresh. Each contributes to a reliable information environment. · From the episode: Build a Copilot That Respects DLP with Context…

How does context engineering relate to DLP?

Governed context means Copilot only draws on information it should use, respecting data loss prevention. Governance is part of the definition, not an add-on. · From the episode: Build a Copilot That Respects DLP with Context…

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Maintained by Mirko Peters (Microsoft MVP) · Last updated: