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AI agents need context engineering, not just prompt tuning

Prompt engineering, the practice of optimizing AI prompts, is becoming a baseline skill. The next critical area for AI development is context engineering, which focuses on structuring the information and data sources available to AI agents. This involves ensuring agents have the right, up-to-date information at the correct time to perform tasks accurately and efficiently, often proving more impactful than prompt refinement alone. AI

IMPACT Focusing on context engineering will improve AI agent reliability and performance beyond prompt optimization.

RANK_REASON The item is an opinion piece discussing a conceptual distinction in AI development.

Read on dev.to — LLM tag →

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  1. dev.to — LLM tag TIER_1 English(EN) · MrClaw207 ·

    Prompt Engineering Is Table Stakes. Context Engineering Is the Next Frontier.

    <h1> Prompt Engineering Is Table Stakes. Context Engineering Is the Next Frontier. </h1> <p>Salesforce published something last week that I've been thinking about: they're drawing a distinction between prompt engineering (optimizing the question) and context engineering (optimizi…