Psychology laws often survive because they sound obvious only after you hear them. They describe habits of thinking that repeat again and again in everyday life. These ideas are not academic rules. They are practical observations that help explain mistakes, delays, confusion, and bad decisions.
As large language models become part of development tools, internal platforms, and operational systems, expectations change. Models are no longer limited to answering questions. They are asked to read files, inspect data, and interact with services. Handling this context through informal prompt injection or custom integrations quickly leads to brittle setups. Model Context Protocol, commonly known as MCP, provides a structured way to expose context and actions to models while keeping control firmly on the application side.
As Christmas arrives, we wish you days filled with calm moments, cheerful gatherings, and the comfort of those you hold dear. May this period bring a gentle pause to reflect, appreciate, and enjoy everything that makes this time of year special.
With the New Year approaching, we welcome the chance to grow, create, and move forward with renewed energy. May the coming months bring good health, meaningful progress, and moments that inspire you and those around you.
Arduino is an open-source electronics platform based on easy-to-use hardware and software. Arduino boards are able to read inputs - light on a sensor, a finger on a button, or a Twitter message - and turn it into an output - activating a motor, turning on an LED, publishing something online. You can tell your board what to do by sending a set of instructions to the microcontroller on the board. To do so you use the Arduino programming language and the Arduino Software (IDE).
If you've ever managed a web server that serves images to thousands of users, you've probably run into the problem of serving the right image size to the right context. A 1200x800 hero image looks great on a desktop, but it's pure waste on a mobile screen or a thumbnail grid. The traditional answer to this has been generating multiple image variants at upload time, but that approach gets messy fast. A cleaner and more flexible solution is to resize images directly at the server level, on demand, using nothing more than nginx and its built-in image filter module. This guide walks you through setting that up from scratch, including caching so your server isn't processing the same image twice.
