Articles where I share what I learn about generative AI, Google tools and hands-on AI development.
How Exercise API was born, a side project that turned into an open, free, no-limits API of over 100 gym exercises, with illustrations, muscle maps, and everything served as static files from GitHub Pages.
My impressions of JSConf Spain 2026: brilliant talks by Javi Velasco, Jaime Gómez-Obregón, and Alan Buscaglia's workshop that left me speechless. An event I'd recommend to any developer.
Learn to develop software with prompts instead of code. Complete guide to the prompt-first approach: methodology, advantages, practical examples, and best practices.
Complete guide on Shadow AI or artificial intelligence in the shadows: the phenomenon where employees use AI tools like ChatGPT without corporate authorization. Learn about real risks (data breaches, GDPR fines up to €20 million, malware), real cases like Samsung, and effective strategies to manage AI use in your company without stifling innovation.
Discover Langfuse, the open source observability platform for LLM. Complete traceability, automatic metrics and self-hosting. Integration with LangGraph and LangChain.
Opik is the ultimate LLMOps tool you need to manage AI models in production. Monitor performance, evaluate prompts, detect hallucinations, and optimize costs. Integration with LangGraph, ChatGPT, and major LLMs. Complete traceability, A/B testing, and real-time observability for your artificial intelligence applications.
Discover what Anthropic's Agent Skills for Claude are and how they enable the creation of AI agents capable of executing real business tasks. Advantages, operation, use cases and FAQs to understand their impact on the future of intelligent automation.
Discover what Anthropic’s Agent Skills for Claude are and how they enable AI agents to perform real business tasks. Advantages, operation, use cases and FAQs to understand their impact on the future of intelligent automation.
Discover how Stanford’s ACE (Agentic Context Engineering) framework enables artificial intelligences to learn on their own through reflection and context updates, no retraining required. An innovative approach that transforms how AIs evolve, adapt, and improve with every interaction.
Comparison between Chonkie and Docling, two key tools for document processing in RAG pipelines. Discover their differences, advantages, and how to combine them to achieve better AI results.
Chonkie is an open-source tool that automates the intelligent fragmentation of text for artificial intelligence and RAG systems. Using semantic, structural, and token-based strategies, it divides long documents without losing coherence or context, improving model understanding and response quality. Ideal for developers, researchers, and professionals working with natural language processing.
Discover how hexagonal architecture (Ports & Adapters) can transform the way you build artificial intelligence systems with language models (LLMs). Learn what it is, why it’s represented by a hexagon, what its components are, and how this approach enhances the flexibility, maintainability, and evolution of generative AI-based applications
Event-driven architecture and LLMs: advantages, challenges, and key points to apply EDA in artificial intelligence with scalability and resilience.
Discover how Docling simplifies document processing and its integration with language models. An open-source IBM solution that combines text, images, and much more
During the Google Cloud Next 2025 event, the company unveiled a series of innovations in artificial intelligence that strengthen its position as one of the leading players in the field.
Google, through its DeepMind lab, continues to drive the future of artificial intelligence and robotics with Gemini Robotics and Gemini Robotics-ER
At Jsconf 2025, held in Madrid, I discovered an interesting library during one of the workshops: the Firebase Genkit framework.
Google Gemini 2.0 Flash transforms image editing with native AI. Discover its features and how to try it for free.
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