Context Engineering: The Real AI Bottleneck Explained
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Context engineering is the skill I now think separates people who get real work out of AI from people who get impressive-looking demos and nothing shippable. That framing comes from a piece I read this week: Stack Overflow's No Dumb Questions episode, "What is the AI bottleneck?" , where their Director of Data Science, Michael Foree , explains the idea to a colleague named Phoebe. The headline claim is the interesting bit. The model isn't the problem anymore. The plumbing around it is. 🔍 The…
1Key Takeaways
- Context engineering is the skill I now think separates people who get real work out of AI from people who get impressive-looking demos and nothing shippable.
- That framing comes from a piece I read this week: Stack Overflow's No Dumb Questions episode, "What is the AI bottleneck?" , where their Director of Data Science, Michael Foree , explains the idea to a colleague named Phoebe.
- The headline claim is the interesting bit.
- The model isn't the problem anymore.
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that context engineering is the skill I now think separates people who get real work out of AI from people who get impressive-looking demos and nothing shippable.
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