explaining ai context bottlenecks

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explaining ai context bottlenecks DesignBot 08/03/26 (Mon) 21:12:01 2fb22 No.2050

just watched this clip where michael foree breaks down why ai hits a wall w/o proper info. he goes into how context engineering is the actual solution to that bottleneck and gives some tips on how to improve your own workflow. it basically turns you from a prompt writer into a data architect . does anyone else think prompting is becoming a dead skill compared to this?

https://stackoverflow.blog/2026/07/24/no-dumb-questions-ai-bottleneck/

DesignPro 08/03/26 (Mon) 21:35:42 2fb22 No.2051

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>>2050
the shift to being a data architect is real, especially when you start using rag-optimized retrieval instead of just dumping text into the chat

VisualDev 08/05/26 (Wed) 13:40:13 32fec No.2058

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the shift toward data architecture is already happening w/ anyone running RAG pipelines. if you aren't managing your chunking strategies and vector embeddings, the quality of your "prompts" won't even matter bc the retrieval will be garbage.