I paid $20 for Cursor AI and my code still sucks.

There is a very specific, dangerous physical sensation to using Cursor AI. It starts with a dopamine rush. You hit Cmd+K (or Ctrl+K on Windows, though I assume if you're deep in this ecosystem you're on a Mac), you type "Refactor this auth hook to handle refresh tokens and race conditions," and you watch the diffs fly in. It feels amazing. It feels like magic. The "Apply" button glows like a promise of free time. You hit Tab, Tab, Tab to accept the changes. You feel like a god of productivity.

And then the hangover hits.

You run the app. Nothing loads. You check the terminal, and it's a sea of red text. You realize that Cursor AI just hallucinated a method on the axios instance that hasn't existed since version 0.19. Or worse, it imported a utility function from a file that almost exists but is actually named slightly differently.

This is the harsh reality of vibe coding vs real coding. Vibe coding is great for a demo video on X (formerly Twitter) where the goal is to make a "Hello World" app look revolutionary. Real coding requires dependencies that actually exist. Real coding requires understanding that if you change the state shape in Redux, you have to update the selectors, or the whole application implodes.

The Cursor AI hallucination rates seem to spike exactly when I need precision the most. It is excellent at boilerplate—generating a basic table component, writing a regex to validate an email, or converting a JSON object to a TypeScript interface. It's a miracle 30% of the time. But ask it to handle complex business logic, race conditions in an async flow, or database transactions that require rollbacks, and it just guesses.

It's like hiring a very fast intern who lies to your face about reading the API documentation because they want to impress you. They hand you the code with a smile, and you spend the next hour figuring out why they tried to query a MongoDB database using SQL syntax.

I've cataloged the "Meh" moments of my last 6 months using Cursor AI pro:

• The Phantom Import: It loves importing packages named @utils/helpers or @/components/ui/button that I never created. It hallucinates a file structure that it wishes I had, rather than the one I actually have.
• The Confident Break: I asked it to refactor a 50-line file to improve readability. It turned it into a 200-line file, abstracted logic into three unnecessary helper functions, and introduced a memory leak.
• The Version Time Travel: It constantly suggests syntax for Next.js 14 when my project config clearly states Next.js 12. It knows it's 2025, but it codes like it's skimming a Medium article from 2023.
• The Silent Failure: Sometimes, the code it writes is valid JavaScript, but it does absolutely nothing. It will write an error handler that catches the error and then swallows it whole, leaving me debugging a silent crash for forty-five minutes.

When you are in the flow, hitting Tab feels productive. But if that Tab introduces a bug that takes an hour to find, you haven't saved time. You've just created technical debt at scale.

I am not the only one feeling this fatigue. A quick scroll through the relevant subreddits shows that the hype cycle is crashing. Senior devs are warning about AI-generated technical debt. The CEO of a major tech firm recently warned about a "technical subprime crisis" looming in 2026—a massive accumulation of bad code written by AI that nobody understands and nobody can fix.

I fear I am contributing to this crisis. I've personally fallen into what I call the "Loop of Errors." It is a maddening cycle that goes like this:

1. Cursor AI generates code to implement Feature X. The code causes Error A.
2. I highlight the error in the terminal and ask the chat sidebar to "Fix this."
3. The AI apologizes profusely (it is always so polite while ruining my life) and provides a solution.
4. The solution fixes Error A but immediately causes Error B because it removed a critical dependency.
5. I ask it to fix Error B.
6. It reverts the code back to the state that caused Error A.

This isn't productivity; it's a hamster wheel. I look at the Cursor AI pricing—$20 a month—and I wonder why I'm paying to be gaslit by a language model. The mental load of verifying every single line generated by the AI is often higher than just writing the code myself.

The danger is that Cursor AI makes you lazy. It encourages you to stop building a mental model of your own software. When you write code character by character, you understand the flow. You understand why that variable is there. When you just hit "Apply" on a massive block of AI-generated code, you become a spectator in your own codebase. You assume it works because it looks like code. But looking like code and being logic are two very different things.

This leads to a terrifying fragmentation of knowledge. I have parts of my codebase now that I didn't really write. I "prompted" them. If those parts break six months from now, I won't have the muscle memory or the mental map to fix them quickly. I will have to ask the AI to fix them again, perpetuating the cycle of dependence.

Furthermore, the "context window" is a lie. Yes, Cursor AI pro boasts a massive context window. It can "read" your whole codebase. But reading isn't understanding. It can search your files to find variable names, but it doesn't understand the intent behind your architecture. It doesn't know that you specifically avoided a certain library because of a performance bottleneck you found three years ago. It just sees that other people use that library, so it suggests it. It creates code that is locally optimized but globally disastrous.

So, is the subscription worth it? Is Cursor AI actually better than the competition, or just faster at making mistakes?

When comparing Cursor AI vs Copilot, I used to think Cursor was the clear winner. GitHub Copilot, in its standard VS Code extension form, feels like a fancy autocomplete. It finishes your sentences. Cursor AI, on the other hand, is a fork of VS Code itself. It feels like it lives inside the editor. It can see the terminal, it can see the file tree, it can edit multiple files at once.

On paper, Cursor AI wipes the floor with Copilot. But in practice?

Copilot is like a polite passenger who occasionally points out a landmark. If it's wrong, you ignore it and keep driving. Cursor AI grabs the steering wheel and tries to drive the car. When it works, it's a chauffeur. When it fails—which is often—it drives you straight into a ditch at 60 miles per hour.

I find that Copilot is less intrusive. It suggests a line, I don't like it, I keep typing. With Cursor AI, I engage in a conversation. I invest time in the prompt. I wait for the generation. I review the diff. The "Time to Rejection" is much higher. When Copilot hallucinates, I lose a second. When Cursor AI hallucinates, I lose ten minutes trying to untangle the mess it made of my file system.

And what about just using Claude or ChatGPT in a browser? Honestly, the gap is narrowing. Cursor AI uses Claude models under the hood for many of its best features. The value proposition of Cursor is the integration—the ability to apply changes directly. But if those changes are broken, the integration is worthless. I often find myself copying code out of Cursor, pasting it into a browser window to ask "Is this right?", and then pasting it back. That is not the workflow of a "super-human" developer; that is the workflow of a paranoid one.

I'm keeping my subscription for now, but not because I believe the hype. I keep it because I'm too lazy to switch my keybindings back to standard VS Code, and because I'm holding out hope that the Cursor AI hallucination rates will drop before my patience runs out.

But let's be real: I paid $20, and my code still sucks. The only difference is that now, when the production server crashes at 2 AM, I can blame the robot. But deep down, I know it's my fault for trusting it.

The promise of AI-powered development is real, but the execution is still far from perfect. Cursor AI represents the cutting edge of this technology, but the edge is sharp—it can cut both ways.

If you're considering the Cursor AI pricing and wondering if it's worth it, my advice is this: try the free tier first. Use it for boilerplate, for repetitive tasks, for things you could do in your sleep. But for the critical logic, the architectural decisions, the parts of your code that matter? Keep your hands on the keyboard.

AI is a tool, not a replacement. And tools can be dangerous when wielded carelessly.

What's your experience with Cursor AI or other coding assistants? Let's talk on Twitter @mehitsfine.