Context Engineering over Prompt Engineering: Architecting Codebases for AI Agents

Описание и применение

<h1> Context Engineering over Prompt Engineering: Architecting Codebases for AI Agents </h1> <blockquote> <p><strong>TLDR:</strong> Agents don't fail because your prompt was badly worded. They fail because your codebase was never designed to be <em>read</em>. The engineers getting compounding returns from agents aren't the best prompt writers. They're the ones whose repos carry the architecture outside their heads: context standards in the repo, strongly typed contracts, and deliberately pruned retrieval. Prompt engineering is the visible 10%. Context engineering is the structural 90%.</p> </b

Задача

<h1> Context Engineering over Prompt Engineering: Architecting Codebases for AI Agents </h1> <blockquote> <p><strong>TLDR:</strong> Agents don't fail because your prompt was badly worded. They fail because your codebase was never designed to be <em>read</em>. The engineers getting compounding returns from agents aren't the best prompt writers. They're the ones whose repos carry the architecture outside their heads: context standards in the repo, strongly typed contracts, and deliberately pruned retrieval. Prompt engineering is the visible 10%. Context engineering is the structural 90%.</p> </b

Результат

<h1> Context Engineering over Prompt Engineering: Architecting Codebases for AI Agents </h1> <blockquote> <p><strong>TLDR:</strong> Agents don't fail because your prompt was badly worded. They fail because your codebase was never designed to be <em>read</em>. The engineers getting compounding returns from agents aren't the best prompt writers. They're the ones whose repos carry the architecture outside their heads: context standards in the repo, strongly typed contracts, and deliberately pruned retrieval. Prompt engineering is the visible 10%. Context engineering is the structural 90%.</p> </b

Доказательства

Context Engineering over Prompt Engineering: Architecting Codebases for AI Agents

Источник