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Why Context Engineering Is More Important Than Prompt Engineering

For the past few years, prompt engineering has been one of the hottest topics in AI. Countless tutorials have promised the "perfect prompt." Courses have been built around writing better prompts.

  • Context engineering focuses on providing AI with necessary information beyond prompts.
  • Prompts remain essential but are just one component of AI's contextual architecture.

Do you assume or confirm?

Note: This article describes a debugging case from 2023. Some of the technologies mentioned here have since changed in relevance.

  • Debugging challenge initially suspected to be race condition
  • Debugger used question to confirm foundations of hypotheses
  • Switched to explicit format for event timestamps to improve reliability

One skill per action looked like the safe boundary

I've been building an AI-assisted editorial pipeline in Cursor. Notion cards capture observations, skills score and schedule them, and agents draft markdown that eventually syncs to dev.to.

  • Initial approach of one skill per action proved problematic
  • Inbox skill needed create, enrich, and reclassify actions
  • Consolidating operations into a single skill simplifies system

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