The language of silicon dreams and stack overflows.
In tech, the amount of work your poor overworked system is trying to process at any given moment—think of it as your server's stress level. It can refer to the volume of requests hitting your website, the number of applications running, or how much data needs processing. When someone says "the load is too high," they mean your infrastructure is basically having a panic attack.
A device that both transmits and receives signals, because apparently having two separate boxes for talking and listening was too much of a hassle. Think of it as the ultimate multitasker in the communications world—your walkie-talkie, cell phone, and Wi-Fi router all use these. Engineers love them because cramming two functions into one box is peak efficiency, even if it makes troubleshooting twice as annoying.
An operation that produces the same result no matter how many times you execute it—like pressing an elevator button repeatedly when you're late. In API design, it's the difference between a well-behaved request and one that creates 47 duplicate orders.
The practice of explaining your code line-by-line to an inanimate object (traditionally a rubber duck) until you realize your own mistake. It works because your brain processes information differently when teaching versus thinking.
A release strategy where you deploy new code to a small subset of users first, watching for problems before unleashing it on everyone. Named after coal miners' canaries—if your users start falling over, you know not to proceed.
The seemingly endless series of small, distracting tasks you must complete before you can accomplish your actual goal. You started wanting to fix a button, now you're rewriting the entire authentication system.
A content management system that stores and manages content but doesn't dictate how you display it—the backend without a frontend, like a chicken running around without a head, but more useful and less disturbing.
The rightward-drifting pyramid of nested callback functions in asynchronous code that makes your program look like the Leaning Tower of Pisa made of braces. Also known as the 'Pyramid of Doom' or 'why I started drinking.'
Wasting time on trivial details while ignoring important issues, like spending three hours debating button colors instead of addressing the security vulnerability. Named after committees spending more time on the bikeshed than the nuclear reactor.
Technology systems and solutions built and used inside organizations without IT department approval or knowledge. Usually created by frustrated employees who got tired of waiting for the official three-year approval process to get Slack.
Read The Manual (the F is flexible based on frustration level). The universal response to questions answered in the documentation that nobody reads. Often delivered with varying degrees of professional courtesy.
An operation that completes entirely or not at all, with no in-between states visible to other processes. Like Schrödinger's database transaction—it's either done or not done, never halfway.
A way for an application to send real-time data to other applications via HTTP callbacks. It's the polite way for services to say 'hey, something happened' instead of you constantly asking 'did something happen yet?'
The practice of intentionally breaking things in production to make sure your systems can handle failure gracefully. It's like testing your smoke detector by setting small fires, except your boss approves.
A release strategy using two identical production environments where you switch traffic from the old version (blue) to the new version (green) instantly. If green catches fire, you switch back to blue faster than anyone can tweet about it.
A design pattern that prevents cascading failures by automatically stopping calls to a failing service, like an electrical circuit breaker but for API calls. When things go wrong, it fails fast instead of timing out slowly and taking everything down with it.
Five object-oriented design principles that form a convenient acronym: Single responsibility, Open-closed, Liskov substitution, Interface segregation, and Dependency inversion. Developers memorize them for interviews then promptly violate them all in production.
Reusable chunks of code that perform specific tasks and can be summoned by the main program whenever needed, like having a personal assistant for your algorithm. Also known as functions or procedures, these are the building blocks that let programmers avoid copy-pasting the same code a hundred times. They take inputs, do their thing, and return outputs—ideally without causing your entire program to crash.
A self-contained, interchangeable component of a larger system designed with well-defined interfaces, making it the LEGO brick of engineering and software design. Modules allow developers and engineers to break complex systems into manageable chunks that can be developed, tested, and replaced independently. This modular approach prevents one broken piece from taking down the entire operation—unless someone forgot to document the interfaces properly.
A duplicate copy of data, files, or systems stored separately from the original to prevent catastrophic loss when (not if) disaster strikes. This insurance policy for your digital life ranges from simple file copies to elaborate redundant systems, and it's the difference between a minor inconvenience and a career-ending catastrophe. The most important backup is always the one you forgot to make yesterday.
In the startup world, the speed at which your development team can actually ship features, measured in story points or whatever agile metric your project manager is obsessed with this quarter. Unlike regular speed, velocity has direction—ideally forward, though some teams seem to excel at moving sideways. It's the number that determines whether you'll make your demo day deadline or spend the weekend surviving on Red Bull and regret.
A gaming mouse from Logitech that has achieved cult status among PC gamers who have very strong opinions about peripheral devices. Featuring customizable weights and more buttons than a nuclear control panel, it's become the subject of surprisingly passionate debates. Because apparently people care deeply about their mice.
The gradual loss of signal strength, wave amplitude, or general oomph as something travels through space or time. In tech, it's why your Wi-Fi sucks in the bathroom; in biology, it's why scientists deliberately weaken pathogens to make vaccines. Think of it as nature's (or physics') way of enforcing the "things get worse over distance" rule.
The supposedly clear specifications of what a system, project, or product must do, which somehow always turn out to be neither clear nor complete when development begins. In tech, they're the sacred documents that stakeholders change weekly while insisting nothing has changed. The gap between what's written and what's actually wanted could swallow entire development teams.