Temperature in LLMs: What It Is and What Value to Use for Your Case
What temperature is in language models, how it affects responses, and how to choose the right value for your task. Examples with the same prompt.
Library
All AI Coding Patterns
Technical articles: agents, architecture, tools and design decisions.
All articles
Context Window and Best Practices
What a language model's context window is, how it's measured in tokens, and concrete practices to leverage it from day one.
Architecture of an Enterprise Agent: The 6 Decisions That Matter
The 6 architectural decisions for your first production AI agent: precise objective, memory, tools with minimum privilege, and human oversight.
How to Make Your Agents Improve Themselves With This Skill
The methodology I use to make Claude Code improve itself through measuring, proposing hypotheses, iterating, and validating results
When to use skills in Claude Code: the complete map
Skills, hooks, CLAUDE.md: the complete map of Claude Code's 8 tools and when to use each one. A practical guide for beginners.
Introduction to Embeddings and Semantic Search
How to transform text into numerical vectors and build real semantic search. From cosine similarity to RAG, with diagrams, TypeScript code, and interactive exercises.
Prompt Engineering for Developers: 5 Patterns With Code
The 5 prompt engineering patterns: zero-shot, few-shot, CoT, role prompting, and structured output with real TypeScript code.
What is MCP: the protocol connecting AI agents with tools
MCP (Model Context Protocol) standardizes how AI agents connect to external tools. Explanation with line-by-line commented Python examples.
Enterprise RAG: the complete pipeline that actually works
How to build a production RAG with semantic chunking, hybrid search and reranking. The real decisions that determine whether your system retrieves well or fails silently.
La IA programa rápido pero rompe cosas: estrategia de tests
La IA genera código en segundos pero no conoce tus dependencias. La estrategia de tests que funciona con agentes de programación.
How to evaluate AI agents in production: metrics, evals, and observability
Technical guide to measuring the real reliability of AI agents in production: task completion rate, deterministic evals, LLM-as-judge, and silent degradation detection.
TypeScript and AI Agents: Why the Language You Choose Matters
The language you use affects how your AI reasons. Three concrete mechanisms by which TypeScript improves code generated by agents like Claude Code.