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A comprehensive open-source toolkit that makes prompt caching accessible, measurable, and production-ready. Includes interactive simulators, cost calculators, TypeScript and Python implementations, Next.js and FastAPI examples, and detailed documentation to help you save up to 90% on Claude API costs.

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.

Learn how to build an MCP server using the official Python SDK. This practical guide shows you how decorators and type hints simplify tool creation, replacing complex JSON schemas with clean, readable code.

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.

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.