The language of silicon dreams and stack overflows.
The science and technology of generating, controlling, and detecting photons—basically light particles—especially in visible and near-infrared spectrums. It's like electronics, but with light instead of electrons, powering everything from fiber optics to laser surgery. Think of it as the reason your internet is fast and your eye surgery doesn't require a medieval torture device.
In tech, that blinking cursor or text snippet asking you to tell the computer what to do next—now made famous by AI chatbots eagerly awaiting your commands. Originally just a command-line interface thing, it's evolved into an entire discipline of 'prompt engineering' where people craft the perfect question to get ChatGPT to actually help. The quality of your output is only as good as your prompt, unfortunately.
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.
The corporate obsession with making everything as efficient as theoretically possible, often while ignoring practical reality. It's the process of tweaking systems until they're technically perfect but somehow more complicated than before. Engineers love it, everyone else just wants things to work.
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 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.
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.
Software plug-ins that extend the functionality of a larger application, like giving your Excel spreadsheet superpowers it never asked for. These little code parasites attach themselves to host programs to add features, automate tasks, or generally make your life easier—or introduce delightful new bugs. Think of them as the remora fish of the software world, hanging onto bigger programs for mutual benefit.
Restricting how many requests a user or service can make in a given timeframe, like a bouncer for your API. It prevents abuse, accidental DDoS-ing, and that one intern's infinite loop from taking down production.
Adding more servers to distribute load rather than making existing servers more powerful. It's the 'hire more workers' approach versus the 'give workers steroids' approach, and generally works better at internet scale.
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 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?'
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.
The process of reviewing, refining, and preparing technical tasks before development begins—not to be confused with the other kind of grooming your HR department warns about. It's like mise en place for coding.
A time-boxed investigation into a technical approach or solution, usually because nobody knows if something will actually work. It's sanctioned time to experiment instead of pretending you know what you're doing.
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.
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.
In IT and corporate settings, an unplanned event that disrupts normal operations or threatens to do so—basically anything that makes the help desk phone start ringing. Incidents range from minor glitches to full system meltdowns, each triggering incident management protocols. It's the polite way of saying 'something broke' without causing panic.
The soul-crushing process of finding and fixing the mistakes in your code that you swore weren't there five minutes ago. It's detective work where you're both the investigator and the criminal, following clues through log files and stack traces to find bugs hiding in plain sight. You'll spend 20 minutes writing a feature and 20 hours debugging why it doesn't work.
The art of writing instructions for computers in languages they understand, transforming caffeine and frustration into functioning software. This process involves typing arcane symbols until something works, then pretending you knew what you were doing all along. It's why developers are either debugging their code or lying, with no in-between states recognized by science.
The process of confirming that something is accurate, authentic, or meets specified requirements—essentially checking your work before submitting. In tech, it's ensuring code does what it's supposed to do; in business, it's confirming data accuracy; in social media, it's that blue checkmark proving you're actually famous. The adult equivalent of "double-check your answers" from school tests.
An aerodynamic shell or structure designed to reduce drag and smooth airflow over vehicles, aircraft, or spacecraft—basically cosmetic surgery for engineering that actually improves performance. It's the sleek covering that makes things go faster by tricking the air into flowing smoothly instead of creating turbulent chaos. Function meets form when making things slippery becomes a science.
The tech industry's aspirational promise that different systems and devices can actually talk to each other and exchange data without throwing tantrums. It's the difference between your smart home working seamlessly versus needing seventeen different apps to control your lights. Standards committees spend decades arguing about achieving interoperability, while consumers just want their printer to work with their computer—apparently an impossible dream.
A high-powered desktop computer that costs three times more than a regular PC because it has 'professional-grade' components and comes in a sleeker case. These beefy machines are designed for demanding tasks like 3D rendering, video editing, or convincing your boss you need better equipment. Also refers to your designated suffering area at the office, usually equipped with an ergonomic chair that isn't.