Should you build a workflow or an agent? Learn the key differences, trade-offs, and when to use each approach for reliable AI-powered applications. Includes decision framework, hybrid patterns, and real-world examples.
The Anthropic API offers two powerful features that work exceptionally well together: the Files API and Code Execution. Learn how combining them opens up interesting possibilities for delegating complex tasks to Claude.
When building MCP servers, you need a way to test your functionality without connecting to a full application. The Python MCP SDK includes a built-in browser-based inspector that lets you debug and test your server in real-time.
Resources in MCP servers allow you to expose data to clients, similar to GET request handlers in a typical HTTP server. They're perfect for scenarios where you need to fetch information rather than perform actions.
Learn when to let Claude figure out the steps instead of defining them yourself. Discover how to build powerful agents with simple, combinable tools that handle unpredictable tasks. Includes tool design principles and real-world examples.