Vibe coding pulled in a wave of new vocabulary borrowed from software engineering, and most marketers encounter it without a glossary. This is that glossary — the terms you’ll actually run into while building, evaluating, or hiring for vibe-coded projects, explained without unnecessary jargon.
Terms are grouped by category rather than alphabetically, so related concepts sit together. Skim the section headers to find what you need, or read straight through to get fluent in the whole vocabulary in one sitting.
Vibe coding refers to building working software by describing the desired outcome in natural language to an AI coding assistant, then testing and refining the generated code through conversation rather than writing it line by line. The term captures the experience of coding by “feel” and iteration rather than by manually typing every function.
Prompt is the instruction you give the AI assistant — the plain-language description of what you want built or changed. Prompt engineering is the skill of writing prompts precisely enough to get a usable result on the first or second try instead of the tenth. In vibe coding specifically, this often means describing not just the feature but the exact inputs, outputs, and edge cases you care about.
Iteration is the back-and-forth cycle of generating code, testing it, and prompting corrections. Most vibe coding sessions involve several iterations before a tool is launch-ready — treating the first output as final is the single most common beginner mistake.
The vibe coding landscape includes several categories of tools, and they aren’t interchangeable:
Large language model (LLM) is the underlying AI system that interprets your prompt and generates code. Different tools use different LLMs, and the model matters — it affects code quality, how well the tool follows complex instructions, and how often it makes mistakes.
Context window is the amount of information — your prompt history, the existing code, any files you’ve shared — the AI can “see” and consider at once. A limited context window is why AI assistants sometimes seem to “forget” earlier instructions in a long session; the fix is usually to restate the important constraint rather than assume it’s still remembered.
Hallucination, borrowed from general AI vocabulary, describes when the AI generates code that looks plausible but references something that doesn’t exist — a library function that was never real, a file path that doesn’t match your project, or an API endpoint invented on the spot. Catching hallucinations is one of the main reasons testing matters so much in vibe coding.
Agentic describes an AI tool that can take multiple autonomous steps toward a goal — writing code, running it, reading the error, and correcting itself — rather than just responding to a single prompt. Agentic coding tools are what make more complex vibe coding builds possible without the human manually copying and pasting code at every step.
Front end is everything a user sees and interacts with directly — the layout, buttons, forms, and visual design. Back end is the part that runs behind the scenes — processing form submissions, storing data, running calculations, and talking to other services. A simple calculator tool might be front-end only; a tool that saves leads to a database needs both.
API (application programming interface) is how one piece of software talks to another — for example, how your vibe-coded tool sends a form submission to your CRM, or pulls live pricing data from another system. Understanding when a build needs an API integration versus when it can run entirely on its own is a key scoping decision early in a project.
Database is where information gets stored persistently — lead submissions, saved user inputs, or content the tool needs to reference. Small vibe-coded tools sometimes skip a full database in favor of simpler storage, like a spreadsheet connected through an API, which is often sufficient for low-volume tools.
Deployment (or “shipping”) is the step of making the built tool live on the internet, accessible at a real URL, rather than just running on the builder’s own computer. Hosting is the service that keeps a deployed tool running and accessible.
Edge case is an unusual or extreme input that a tool needs to handle gracefully — a negative number in a field expecting a positive one, an empty form submission, or a browser the tool wasn’t tested on. Most real bugs in vibe-coded tools live in unhandled edge cases, not in the core logic.
Technical debt refers to shortcuts or inconsistencies in a build that make it harder to modify or extend later, even though the tool works fine today. Vibe coding can accumulate technical debt quickly if a project spans many sessions without any structural review — a good reason to periodically ask the AI assistant to review and clean up the existing code, not just add to it.
Version control is a system (commonly Git) for tracking changes to code over time, so you can see what changed, when, and roll back a bad change if needed. Even non-developers running vibe coding projects benefit from basic version control — it’s the difference between “undo the last change” being simple or nearly impossible.
Responsive design means a tool’s layout adapts correctly to different screen sizes, particularly mobile. Given how much traffic to most marketing tools comes from phones, responsive design isn’t optional polish — it’s a launch requirement.
MVP (minimum viable product) is the smallest version of a tool that’s genuinely useful, built to test an idea before investing in a more polished version. Vibe coding is particularly well suited to MVPs because the cost of building a rough first version is so much lower than it used to be.
Scope creep is when a project’s requirements keep expanding mid-build — “just add one more feature” repeated enough times to turn a two-hour build into a two-week one. It’s a bigger risk in vibe coding than traditional development, precisely because adding “just one more thing” feels so easy in the moment.
Handoff documentation is a short written record of what a tool does, how it was built, where it lives, and what it depends on — created specifically so someone other than the original builder can maintain it later. Skipping this is a common regret months after a successful launch.
Structured data / schema markup is code added to a page that explicitly tells search engines and AI systems what the content means — useful when a vibe-coded tool’s output (like a price range or answer) should be understood and potentially surfaced by AI search features, not just displayed to human visitors. Crawlability refers to whether search engine and AI crawlers can actually read a tool’s content — a common oversight is building a tool where all the useful text only appears after a user interacts with it, hiding that content from anything that isn’t a real browsing session.
No-code platforms use visual, drag-and-drop building blocks with fixed capabilities. Vibe coding generates actual custom code from natural language, which allows for more flexibility and custom logic, at the cost of needing more careful testing since the output isn't constrained to pre-built, pre-tested components.
Not to get started, but understanding them helps you scope projects correctly and communicate clearly with the AI assistant — and with any developer you eventually bring in to review or extend the work.
It's when the AI generates code referencing something that isn't real — an invented function, a nonexistent file, or a made-up API. It's caught through testing: if a feature doesn't actually work when you try it, a hallucination is a common cause.
Because it determines how easy a tool is to update later. A build with a lot of technical debt might work fine today but become expensive or slow to modify in a few months — worth avoiding by periodically asking for a cleanup pass, not just new features.
No. An MVP is intentionally minimal, built to validate an idea quickly. Plenty of MVPs get launched, tested with real users, and then expanded — but treating an MVP as launch-ready without edge-case testing is a common mistake.
At minimum: what the tool does, where the code and hosting live, what external services it depends on (APIs, databases), and who to contact if something breaks. A short document takes minutes to write and saves hours later.
Terry has 30+ years in software and SEO. He’s the founder of Salterra Digital Services and SEO Spring Training, host of the Roundtable SEO Mastermind, and lead instructor at SEO University — teaching the exact tactics his team uses on client work.
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