Cursor is one of the most popular AI code editors. It's fast, capable, and developers love it. But if you're not a developer, it won't help you change your website.
Cursor is a fork of VS Code -- Microsoft's open-source code editor -- with AI wired into the editing experience. Unlike a chatbot that generates code snippets, Cursor sits inside your project and reads all of it. It uses that context to help you write, edit, and refactor code faster.
Cursor predicts what you're about to type based on the context of your codebase. Not just the current file -- it reads imports, function signatures, and patterns across your project to suggest multi-line completions that actually match your coding style.
You can ask questions about your project and Cursor will reference your actual files, not generic documentation. It indexes your repository and retrieves relevant code when answering, so you can ask things like "where does the user authentication happen?" and get an answer grounded in your specific implementation.
Describe a change and Cursor can apply it across multiple files simultaneously. Rename a component, update its props, and fix every file that imports it -- all in one operation.
Select a block of code, describe what you want changed in plain English, and Cursor rewrites it in place. You see a diff of the before and after, accept or reject, and move on. No copy-pasting from a chat window.
Cursor can run commands, interpret errors, and suggest fixes without you leaving the editor. Build failures, test errors, and linting issues get surfaced and addressed inline.
Developers who use it get more done. Cursor can understand a React component, a Tailwind config, and a backend API route at the same time and make coordinated changes across all of them. If you already know how to code, it saves hours.
The AI narrative has shifted. A year ago, the story was "AI will replace developers." Now it's "anyone can code with AI." Cursor gets mentioned in that conversation because it makes coding feel more accessible -- you can describe what you want in plain English and watch it materialize as code.
Marketing teams, product managers, and founders see demos on social media and think: maybe I could use this to update our landing page without filing a ticket. Maybe I could fix that typo myself instead of waiting two weeks for a developer to get to it.
That appeal makes sense. If you watch someone use Cursor to build a feature in minutes that would normally take hours, you start wondering whether you could do the same thing for a text change on your website.
But the demos skip over the 20 minutes of setup before the first keystroke, the Git workflow after the code is written, and what happens when the AI breaks something elsewhere in the project.
Here's what a non-developer would need to do to change a headline on their company website using Cursor.
Download the application, run the installer, create an account, configure your AI model preferences. This part is straightforward, similar to installing any desktop application. But it's a code editor, and the interface will immediately look unfamiliar if you've never used VS Code or a similar tool.
Your website's code lives in a Git repository, probably on GitHub. To get it onto your machine, you need to clone it. That means understanding what Git is, setting up authentication (SSH keys or personal access tokens), finding the repository URL, and running a clone command in a terminal. If your organization uses private repos, you'll need the right permissions configured first.
You're now looking at a file tree with dozens or hundreds of files. There's a src folder, maybe a components folder, configuration files like package.json and tailwind.config.js, build scripts, test files. Which ones matter for changing a headline? You have no way to know without understanding the project structure.
The headline on your homepage might live in pages/index.vue, or app/page.tsx, or src/views/HomeView.vue, or an i18n JSON file, or a CMS content file, or a database seed. It depends on the framework, the project's architecture, and conventions your team adopted. You could search for the text string, but if it's in a translation key or a variable, that search won't find it.
This is the part that works. You select the text, tell Cursor "change this headline to [new text]," and it modifies the code. You see a diff showing what changed. You accept the change. This step takes about 10 seconds and is genuinely easy. It's also only one of seven steps.
Before pushing your change, you need to verify it looks right. That means running the development server. Open a terminal, run npm run dev or yarn dev or whatever the project uses, wait for it to compile, open localhost:3000 in your browser, and check the page. If you haven't installed Node.js and the project dependencies yet, you'll need to do that first. Compilation errors will stop you here.
The change exists on your machine. To get it into the actual website, you need to create a new Git branch, stage the changed files, write a commit message, push the branch to the remote repository, and open a pull request on GitHub. Each of these is a separate command with its own syntax. If there are merge conflicts because someone else changed the same file, you'll need to resolve those too.
The AI handles step 5. Steps 1 through 4 and steps 6 through 7 are still entirely on you. For a developer, these steps are muscle memory. For everyone else, each one is a potential dead end.
AI can write code. Cursor proves that every day. The hard part is everything around the code: finding the right file in a codebase you've never navigated, testing changes in a local environment you've never configured, deploying through a Git workflow you've never used.
Non-technical teams don't need a better code editor. They need to skip the editor entirely.
This is what Intentify does. You open your website in Chrome, activate the extension, and annotate the elements you want to change. You describe the change in plain language. You preview it on the live page. When it looks right, AI generates the actual code changes and creates a pull request in your repository. Your development team reviews and merges through their normal workflow.
You don't clone repos, navigate file trees, or run Git commands. The entire process happens in your browser, on your live site, and the output is a pull request your team can review before merging.
Cursor's AI features let you describe changes in plain English, but you still need to navigate a codebase, understand file structures, run a dev server, and use Git. It reduces the amount of code you write, but doesn't eliminate the need for developer knowledge.
Cursor offers a free tier with limited AI completions. The Pro plan is $20/month for more usage. But the cost isn't the barrier for non-technical teams -- it's the technical workflow around it.
Cursor is an AI-powered code editor for developers. Intentify is a visual tool for non-developers. With Cursor, you edit code in an IDE. With Intentify, you annotate on your live website and AI generates a pull request. Different tools for different people.
That's a common setup. Your developers use Cursor or similar tools for feature work. You use Intentify for quick website changes like copy updates, styling tweaks, and layout adjustments. Changes still go through your team's review process.
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