A complete, step-by-step tutorial on how to build a production-ready frontend monorepo. Learn how to set up a scalable architecture using PNPM, Nx, Vite, Vitest, React, TypeScript, Emotion, and Biome.js for a streamlined and efficient development workflow.

Learn how to effectively control the behavior of Large Language Models (LLMs) using inference parameters like temperature, top-p, and more. This guide provides practical examples with Python and LangChain.

Learn how to create precise, structured prompts for AI agents using the CO-STAR framework, enhancing reliability and performance in LLM applications.

Exploring the StateAct pattern to enhance AI agents' robustness and long-term task management. Learn how to implement this pattern using LangGraph and Ollama, ensuring agents maintain focus and clarity in complex tasks.

From solo problem-solvers to orchestrated teams. This guide explores the 'why' and 'how' of multi-agent architectures, demonstrating how a team of specialized AI agents can solve complex problems more effectively than a single agent ever could.