Every week, another breathless headline declares software engineering dead. Another AI demo shows a chatbot building a full-stack app in 90 seconds. Another LinkedIn thought leader posts a funeral wreath emoji next to the words "traditional coding." And every week, I watch senior engineers at real companies quietly doing something that looks nothing like those demos. They're not typing code line b
Originally published at https://allcoderthings.com/en/article/csharp-collections-list-dictionary-queue-stack In C#, collections are used to store multiple values dynamically and process them efficiently. Arrays have fixed size, but collections can grow and shrink as needed. This article covers List<T>, Dictionary<TKey,TValue> (and KeyValuePair<,>), SortedList<TKey,TValue>, Queue<T>, Stack<T>, Hash
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.
In a previous post, Automatic Enum Stringification in C via Build-Time Code Generation, I described how to extract enum labels and values directly from DWARF debug information at build time. enum color { C_NONE, C_RED, C_YELLOW, C_GREEN } ; // Request enum descriptor for e_color ENUM_DESCRIBE(e_color, enum color) void foo(enum color c) { printf("Color=%s(%d)\n", ENUM_LABEL_OF(e_color, c), c)
When you first learn to write software, you are building in a utopia. On your laptop, the database is always online. The network has zero latency. The third-party API always responds in exactly 12 milliseconds. You write a function, you hit run, and the data flows perfectly from point A to point B. In the industry, we call this the "Happy Path." It is the magical scenario in which every piece of t
Stop Using Hacks for Transparent Cutouts Imagine this scenario: your designer hands you a Figma file where a beautiful hero image fades into the background via a complex grunge texture or a smooth radial gradient. Or better yet, a scrollable list that subtly vanishes at the bottom to hint at more content. Ten years ago, we would probably have reached for a glass of whiskey and started hacking toge
So far, we’ve covered: why MCP exists what MCP is what tools are Now let’s answer a key question: When the model decides to use a tool… who actually runs it? An MCP server is: The component that exposes tools and executes them. An MCP server is not just your backend. It is: a layer on top of your backend designed specifically for LLM interaction It has three main responsibilities: It tells the sys