Category: AI

Build production-grade LLM evaluation frameworks in Python. Learn metrics, benchmarking tools, and CI/CD integration for reliable AI systems.

Build production LLM gateways with LiteLLM: multi-provider routing, semantic caching, token budgeting, and fallback patterns to cut costs by up to 60%.

Complete technical guide to implementing Model Context Protocol servers in C# with the official SDK, tool definitions, and multi-agent orchestration patterns.

Build intelligent automation pipelines with Python script nodes in n8n. Integrate LLMs, handle errors, and scale AI workflows in production.

Build autonomous workflows with n8n and AI agents. Learn integration patterns, error handling, and production scaling for enterprise automation.

Build production-grade multi-agent AI systems in Node.js. Learn service discovery, state management, communication patterns, and scaling strategies.

Learn how to evaluate and optimize LLM prompts for production AI agents using metrics, benchmarking, and systematic evaluation frameworks.

Integrate Exa API into AI agent architectures for real-time web search, live data enrichment, and production-scale RAG workflows with Python and Node.js examples.

Learn to build production-ready AI agents in Python using Anthropic's SDK without heavy frameworks. Includes tool use, streaming, and real-world patterns.