Uploaded July 2025 | Updated September 2026, 2 weeks ago
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:
philschmid.de/context-engineering
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
cognition.ai/blog/dont-build-multi-agents#applying-the-principles
dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html
dbreunig.com/2025/06/26/how-to-fix-your-context.html
github.com/humanlayer/12-factor-agents?ref=blog.langchain.com
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
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
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:
philschmid.de/context-engineering
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
cognition.ai/blog/dont-build-multi-agents#applying-the-principles
dbreunig.com/2025/06/22/how-contexts-fail-and-how-to-fix-them.html
dbreunig.com/2025/06/26/how-to-fix-your-context.html
github.com/humanlayer/12-factor-agents?ref=blog.langchain.com
Website: engineerprompt.ai
RAG Beyond Basics Course:
prompt-s-site.thinkific.com/courses/rag
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
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
