Anthropic

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 a production-ready hybrid search system that combines the semantic understanding of vector embeddings with the precision of BM25 lexical search using Reciprocal Rank Fusion (RRF). Includes architecture patterns, mathematical explanations, and real-world examples.

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.

Transform Claude Code from a coding assistant into a fully integrated development powerhouse. Learn how to connect MCP servers to extend Claude's capabilities, integrate with your entire toolchain, and build custom workflows that eliminate context switching.

Stop fighting with massive prompts that Claude can't handle consistently. Learn how workflow chaining produces better results by breaking complex tasks into focused, sequential steps. Includes real-world examples and best practices.

Discover how Claude's Extended Thinking feature gives the model time to work through complex problems step-by-step. Learn when to use it, how to implement it, security considerations with the signature system, and best practices for production deployments.

Claude operates blindly without environment inspection. Learn why observation is essential for effective agents and how to build inspection capabilities into your tools. Includes practical patterns and real-world examples.

Learn how to process PDF documents with Claude for intelligent analysis beyond simple text extraction. Covers implementation, what Claude can extract from PDFs, common use cases like contract analysis and data extraction, and production best practices.

Learn how to use Claude's vision capabilities for image analysis, from basic implementation to production-ready systems. Covers technical constraints, prompting techniques that dramatically improve accuracy, and real-world examples like automated fire risk assessment.

Speed up AI responses by up to 85% and cut costs dramatically — all by letting Claude remember what it just processed. A comprehensive guide to implementing prompt caching with TypeScript and Python.