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I unpack context engineering—why everyone’s talking about it, how it differs from classic prompt engineering, and where it actually matters for long-context LLMs. We’ll cover the big failure modes (context poisoning, distraction, confusion, clash) and the simple fixes—RAG, pruning, summarizing, and quarantining—that keep your AI agents on track. Perfect if you’re building RAG pipelines or multi-tool agents and want cleaner prompts, fewer tokens, and better answers.
LINKS:
https://www.philschmid.de/context-engineering
https://blog.langchain.com/the-rise-of-context-engineering/
https://x.com/tobi/status/1935533422589399127?ref=blog.langchain.com
https://x.com/ankrgyl/status/1913766591910842619
https://x.com/karpathy/status/1937902205765607626
https://cognition.ai/blog/dont-build-multi-agents#applying-the-principles
https://www.dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html
https://www.dbreunig.com/2025/06/26/how-to-fix-your-context.html
https://github.com/humanlayer/12-factor-agents?ref=blog.langchain.com
Website: https://engineerprompt.ai/
RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
Let’s Connect:
🦾 Discord: https://discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: https://ko-fi.com/promptengineering
|🔴 Patreon: https://www.patreon.com/PromptEngineering
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📧 Business Contact: engineerprompt@gmail.com
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TIMESTAMP:
00:00 Introduction to Context Engineering
00:41 Defining Context Engineering
03:21 Context Engineering vs. Prompt Engineering
04:23 Common Issues in Context Engineering
11:03 Solutions for Effective Context Management
14:50 Some Final Thoughts Read More Prompt Engineering
#AI #promptengineering
