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Stop using one-size-fits-all prompts. Learn how routing workflows categorize user requests and send them to specialized pipelines for better, more consistent results. Includes real-world examples and implementation best practices.

Learn how to build an MCP client that bridges your application logic with server capabilities. This tutorial covers the two-layer client architecture, implementing core methods, and testing the complete flow.

Resources in MCP allow your server to expose data that can be directly included in prompts, rather than requiring tool calls to access information. This creates a more efficient way to provide context to AI models like Claude.

A comprehensive quick-reference guide for implementing prompt caching in Claude. Includes code snippets, common patterns, debugging tips, and a production checklist.

Not every task can be solved in a single Claude request. Learn when to use workflows vs agents, explore the powerful evaluator-optimizer pattern, and discover proven workflow patterns that will make you a better AI engineer.