Cursor Review: The AI Code Editor That Can Make You Lazy (If You're Not Careful)

Cursor is the most dangerous tool in your builder stack.

Not because it's bad. Because it's incredibly good at something that might make you worse.

Let me explain.

What Cursor Is

Cursor is an AI-native code editor. It looks exactly like VS Code (because it's forked from it), but with AI baked into everything.

You can:

• Chat with your entire codebase
• Generate functions from comments
• Get autocomplete that reads your mind
• Refactor code by describing what you want
• Debug by asking "why is this broken?"

It costs $20/month for the Pro version. There's a free tier with limits.

Thousands of indie builders are using it to ship faster than ever before.

And that's the problem.

What It's Genuinely Good At

Let's start with where Cursor shines. Because when used right, it's incredible.

Boilerplate code

Need to set up authentication? Database connections? API routes? Cursor can generate all of this in seconds.

This is code that has been written a million times. There's no reason for you to type it again.

Refactoring

You have working code but it's messy. Highlight it, tell Cursor "refactor this to use modern React patterns," and watch it transform.

This is where AI truly saves time. The logic is yours. Cursor just cleans it up.

Debugging

You're staring at an error you don't understand. Paste it into Cursor chat, give it context, and it often spots the issue faster than you would.

Not always. But often enough to be useful.

Documentation

Cursor can generate inline comments, README files, and API docs from your existing code. This is tedious work you should absolutely automate.

Test cases

Write a function, ask Cursor to generate test cases. It'll catch edge cases you might have missed.

All of these? Legitimate time-savers. Use Cursor for this stuff. No guilt.

What It's Bad At

Here's where things get dangerous.

Architecture decisions

Cursor doesn't know your product roadmap. It doesn't understand your scale requirements. It doesn't know what you'll need to build 6 months from now.

If you ask it to design your database schema or choose your tech stack, you're outsourcing decisions that will haunt you later.

Original problem-solving

The hardest part of building isn't writing code. It's figuring out WHAT to build and HOW to structure it.

Cursor can't do this. It can only suggest patterns it's seen before.

If your problem is new or nuanced, you need to think it through yourself.

Domain logic

The rules specific to your industry or use case? Cursor doesn't know them.

If you're building financial software, medical tools, or anything with complex business rules, you can't trust AI to get the logic right.

You have to understand it deeply enough to verify everything it generates.

Pricing: Free vs Pro

Free tier:

• 2,000 completions per month
• 50 slow premium requests
• Limited model access

This is enough to try Cursor and see if you like it. Not enough for serious daily use.

Pro tier ($20/month):

• Unlimited completions
• 500 fast premium requests per month
• Access to GPT-4, Claude, and other top models
• Priority support

For builders shipping regularly, Pro is worth it. You'll hit the free tier limits in a week.

Real Project Walkthrough

Let me show you how I'd actually use Cursor to build something - and where I'd resist using it.

Project: Simple task management app for freelancers

Phase 1: Planning (NO CURSOR)

I sketch out the user flow on paper. What features matter? What's the simplest version that's actually useful?

I make decisions about:

• Data structure (tasks, projects, clients)
• Key workflows (adding tasks, tracking time)
• What I'm NOT building (team features, advanced reporting)

This takes a few hours. Cursor stays closed.

Phase 2: Setup (CURSOR IS HELPFUL)

Now I open Cursor. I tell it:

"Set up a Next.js project with Supabase for the database. I need auth with email/password and Google OAuth. Use TypeScript."

Cursor generates the boilerplate. I review it, understand what it did, and keep moving.

Time saved: 45 minutes.

Phase 3: Core features (MIXED APPROACH)

For the task creation form, I write the logic myself. This is the heart of the product. I need to understand exactly how it works.

But for the styling? I tell Cursor: "Make this form look clean with Tailwind. Use a card layout with subtle shadows."

I write the brains. Cursor does the cosmetics.

Phase 4: Edge cases (MY JOB)

What happens when a user tries to delete a project with active tasks? How do we handle time tracking across midnight?

These are domain-specific questions. I think through each one and write the logic myself.

Cursor can implement my solution, but it can't design the solution.

Phase 5: Testing and polish (CURSOR HELPS)

Cursor generates test cases. Writes error messages. Creates loading states. All the stuff that's important but formulaic.

This is where AI shines. The creative work is done. Now we're just being thorough.

Best Practices for Thoughtful Use

If you're going to use Cursor without becoming dependent, follow these rules:

Rule 1: Plan before prompting

Open a blank document. Write out what you're building and why. Make the hard decisions.

Only then open Cursor.

Rule 2: Understand before accepting

When Cursor suggests code, read it. If you don't understand what it's doing, don't use it.

The moment you start blindly accepting suggestions is the moment you stop learning.

Rule 3: Own the core logic

The parts of your app that make it unique? Write those yourself.

Use Cursor for everything else.

Rule 4: Verify everything

AI makes confident mistakes. Especially with:

• Security (auth, data validation)
• Performance (database queries, caching)
• Edge cases (error handling)

Test thoroughly. Don't assume it's correct because it looks right.

Rule 5: Timebox AI assistance

Give yourself 30 minutes to solve something yourself before asking Cursor.

This protects your problem-solving skills from atrophying.

When to Trust AI Suggestions vs When to Think It Through

Here's my decision tree:

Trust Cursor when:

• The pattern is well-established (auth, CRUD operations)
• You've written this type of code before
• The stakes are low (styling, simple utilities)
• You understand the output well enough to debug it

Think it through yourself when:

• It's a critical path in your app
• The logic is specific to your domain
• You're learning a new concept
• Security or data integrity matters
• You've never built this before

Comparison to Alternatives

Cursor vs GitHub Copilot:

Copilot is better at line-by-line autocomplete. Cursor is better at understanding your whole codebase and having conversations about it.

If you mostly write code the traditional way with some AI assistance, Copilot is fine.

If you want to work conversationally with AI, Cursor wins.

Cursor vs Replit Agent:

Replit Agent is more autonomous. You describe what you want, walk away, come back to a finished project.

Cursor keeps you in the driver's seat. You write some, AI writes some, you review.

Replit is faster. Cursor gives you more control.

Cursor vs plain ChatGPT/Claude:

You could copy code into ChatGPT, get suggestions, paste back.

Cursor just makes that workflow seamless. It sees your files, your errors, your dependencies.

The value is in the integration, not the AI itself.

The Trap: How Cursor Can Make You Dependent

Here's what I see happening to builders who over-rely on Cursor:

Month 1: "This is amazing! I'm shipping so fast!"

Month 3: "Wait, I don't actually understand how this works."

Month 6: "I can't fix bugs without asking AI what to do."

Month 12: "Did I actually learn anything this year?"

The trap is subtle. Each individual decision to let Cursor handle something feels fine. But they compound.

Soon you're prompting instead of thinking. Accepting instead of understanding. Shipping instead of learning.

And one day you realize you can't build anything without AI holding your hand.

How to Avoid It

Keep a learning log

After each coding session, write down:

• What did I learn?
• What did I struggle with?
• What did I figure out myself?

If your answers are all "nothing" or "I just prompted Cursor," that's a red flag.

Build something without AI monthly

Once a month, build a small project (a CLI tool, a script, a simple app) with zero AI assistance.

This keeps your foundational skills sharp.

Teach what you learned

Can you explain how your app works to someone else? Not "Cursor built it," but actual architecture and logic?

If you can't, you don't own the knowledge.

Review AI-generated code seriously

Don't just skim. Read every line. Understand every decision.

Treat it like code review for a junior developer. Because that's what it is.

The Bottom Line

Cursor is an incredible tool. It genuinely makes you faster at execution.

But it doesn't make you better at thinking. And in building, thinking is 80% of the work.

Use Cursor to amplify your skills, not replace them.

Let it write the boilerplate. Let it handle the tedious stuff. Let it speed up implementation.

But keep the architecture decisions. Keep the creative problem-solving. Keep the domain logic.

That's your job. That's what makes you a builder instead of a prompt engineer.

Is It Worth $20/Month?

If you're shipping code regularly, yes.

The time savings on boilerplate alone pays for itself in an hour.

But only if you're using it strategically. If you're outsourcing all your thinking to AI, you're paying $20/month to get worse at building.

Use it right: absolutely worth it.

Use it wrong: actively harmful.

Final Recommendation

Try Cursor on the free tier. See if you like the workflow.

If you find yourself shipping faster without turning your brain off, upgrade to Pro.

But if you catch yourself accepting suggestions without understanding them, pump the brakes. Step back. Make sure you're still in control.

The goal is to build better things faster. Not to build generic things mindlessly.

Cursor can help with the former. But it's dangerously good at enabling the latter.

Choose wisely.