How to build reliable AI workflows with agentic primitives and context engineering
SMRTR summary
GitHub introduces a three-layer framework that transforms basic AI prompting into reliable engineering workflows using agentic primitives (reusable building blocks like .instructions.md and .chatmode.md files) and context engineering to help AI agents focus on relevant information. This systematic approach enables developers to create structured, automated AI workflows that can run in production environments through tools like APM (Agent Package Manager) and CI/CD pipelines, moving beyond simple code suggestions to comprehensive development processes.
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