Post Content
[[{“value”:”Thanks to Redis for making this video possible.
Your AI agents don’t fail because the model isn’t smart enough. They fail because of the context you give them. In this video I break down why context engineering, not prompt engineering, decides whether agents work in production, using findings from Redis’s State of Context Engineering report, then wire up a live coding agent with cross-session memory using the Redis Agent Memory Server.
Read the State of Context Engineering report: https://fandf.co/4ixN2Zo
Agent Memory: https://fandf.co/4xtvkdm
#AI #Agents #ContextEngineering #Redis #AIMemory
My voice to text App: whryte.com
Website: https://engineerprompt.ai/
RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
00:00 Why Agents Really Fail
00:50 Three Context Failure Modes
02:24 Context vs Prompt Engineering
03:26 Four Rules of Great Context
04:48 Why Teams Get Stuck
05:39 Memory Layers and Compounding
07:27 Redis MCP Demo”}]] Read More Prompt Engineering
#Promptengineering #AI