#context-engineering
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Tag · #context-engineering
Building the Context Layer: The Infrastructure for Production Agents
To move AI agents from demos to production, organizations must build a 'context layer'—a versioned, managed, and portable repository of business knowledge, norms, and expertise that functions like a 'GitHub for context.'
AI EngineerScheduled Work: Task vs. Message Architectures
Distinguish between scheduled tasks (fresh threads) and scheduled messages (persistent threads) by asking if the job requires the context of previous runs.
Jason Liu (jxnl.co)
Integrating Design Systems with AI via Model Context Protocol
By using the Model Context Protocol (MCP) to feed design system rules into AI agents, developers can ensure AI-generated code remains consistent, brand-compliant, and architecturally sound.
IBM TechnologyShowing 3 of 3