Cuando una aplicación necesita leer un archivo, escribir en una conexión TCP o esperar datos de un disco, el kernel de Linux ofrece tradicionalmente dos caminos: bloquear el proceso hasta que la operación termine, o usar interfaces como epoll y Linux AIO para manejar múltiples operaciones concurrentes. Durante casi tres décadas, esas fueron las opciones dominantes. Pero desde la versión 5.1 del ke
When Google announced the Manifest V3 deadline, the developer community had a lot to say — most of it negative. The service worker model was rightly criticized as a regression for ad blockers and complex extensions. I've now migrated 18 extensions from MV2 to MV3, or built them MV3-native from the start. The commonly documented issues (no persistent background pages, limited webRequest) are real.
The Autonomous Paradox In 2026, we’ve moved past simple chatbots. We are building Production-Grade RAG pipelines and autonomous agents that can plan, execute, and iterate. But as an architect, I’ve noticed a glaring hole in our "Agentic" future: Identity Sprawl. We are giving agents non-human identities (NHI) with "Full Admin" permissions just to ensure the RAG works smoothly. We are effectively
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Fortifying APIs: Data Validation with Pydantic When building backend services, a fundamental principle stands above all others: never implicitly trust incoming data. Client applications, whether web, mobile, or third-party integrations, are inherently unpredictable. A seemingly innocuous input field expecting an integer for "age" might instead transmit "twenty-five". Without robust safeguards, s
Today I started learning Python, and I explored some fundamental concepts that helped me understand how Python actually works behind the scenes. Python is a high-level, interpreted programming language. Being high-level means it is easy to read and write, as it is closer to human language and abstracts away hardware complexity. This makes it very different from low-level languages like assembly or
In this guide we’ll build a Decentralized, Autonomous Vacation Booking System in Python using the Protolink library. The original post can be found on medium (Level-up-coding). The landscape of AI agents is shifting. We are moving away from monolithic scripts driven by a single giant model, towards Multi-Agent Systems (MAS) where specialized, autonomous agents collaborate to solve complex problems
Introduction In the article Introduction to Spring AI, we introduced the sample application to search for conferences. We also exposed its functionality as a set of MCP-compatible tools. In the article Explore Spring AI MCP Server with Streamable HTTP protocol, we ran this application as an MCP-Server locally and connected to it using the MCP Inspector or Amazon Q Developer. I decided to make so