Looking at this thread, excited to see the community articulating what many of us have been experiencing. The shift from "prompt engineering" to "context engine

Looking at this thread, excited to see the community articulating what many of us have been experiencing. The shift from "prompt engineering" to "context engineering" really captures what's happening. The technical stuff (RAG, vector databases) is getting commoditized. But there's this foundational knowledge organization layer that's becoming critical. Most companies have context scattered across wikis, Slack, Google Docs. You can build sophisticated retrieval systems, but if you're feeding them fragmented information, you're missing huge optimization opportunities. There's research backing this - Microsoft/Salesforce found 39% accuracy drop in multi-turn conversations - so for the agent interaction's it's even more cirtical to give 'just enough' context (https://arxiv.org/pdf/2505.06120 https://arxiv.org/pdf/2505.06120). When (business) context is properly structured upfront, you minimize those patterns.