PHILIPP SCHMID
Context Engineering is emerging as a crucial skill in AI, shifting the focus from prompt engineering to providing comprehensive context for tasks. The success of AI agents increasingly depends on the quality of context provided, with many failures attributed to context rather than model issues.
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Summary
Context Engineering is new term gaining traction in the AI world. The conversation is shifting from "prompt engineering" to a broader, more powerful concept: Context Engineering. Tobi Lutke describes it as "the art of providing all the context for the task to be plausibly solvable by the LLM.” and he is right.
With the rise of Agents it becomes more important what information we load into the “limited working memory”. We are seeing that the main thing that determines whether an Agents succeeds or fails is the quality of the context you give it. Most agent failures are not model failures anyemore, they are context failures.
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