Cursor Review: The Good, Bad, and When It Breaks

Cursor burst onto the scene promising to make developers feel like they had superpowers. The pitch was compelling: a VS Code fork with AI deeply integrated into every feature. Autocomplete that actually understands context. Multi-file editing with a single prompt. Built-in debugging assistance.

For many developers, Cursor was genuinely magical at first. Then the cracks started appearing.

Performance degraded with each update. The AI started producing broken code more frequently. Features that worked perfectly last month stopped working this month. And users started asking: "What happened to the tool I loved?"

This is an honest review of Cursor based on real developer experiences in 2025, not the marketing promises.

The bottom line: Cursor excels at quick code completions and feels familiar to VS Code users. But performance issues, frequent breaking changes, and unpredictable AI quality make it frustrating for serious production work.

What Cursor Actually Does #

Cursor is a code editor built as a fork of VS Code, with AI capabilities woven throughout. It's not just autocomplete - AI is integrated into code completion, refactoring, debugging, commit messages, and multi-file editing.

The interface feels familiar if you've used VS Code. Same layout, same shortcuts (mostly), same extension ecosystem. But with AI features layered on top: press Cmd+K and an inline AI prompt appears right where your cursor is. Ask "make this function async" and the code changes instantly.

For developers comfortable with VS Code who want AI assistance, Cursor makes sense. The learning curve is low because the interface is familiar.

What Works Well #

Code Completion Quality

Cursor's autocomplete is legitimately good. It doesn't just suggest the next token - it predicts what you're trying to build and suggests entire blocks of code.

Working on a React component? Cursor might suggest the exact useEffect hook you need. Writing API endpoints? It predicts route handlers with proper error handling.

This isn't revolutionary, but it's noticeably better than basic autocomplete. One developer noted: "I'm easily 30% more productive" thanks to the suggestions.

Familiar VS Code Environment

Because Cursor is a VS Code fork, everything familiar carries over. Your muscle memory for shortcuts works. Your favorite extensions still install. The layout feels comfortable immediately.

This is Cursor's smartest decision. Instead of forcing developers to learn a completely new environment, they built on what developers already know.

Built-in Context Management

Cursor's .cursorrules file lets you set coding preferences that the AI respects. Things like "keep commit messages under 50 characters" or "use short variable names in utility functions."

This prevents you from repeating the same instructions in every AI conversation. Set it once, and Cursor follows those rules throughout the project.

What Doesn't Work Well #

Performance Degradation Over Time

This is the most consistent complaint. Cursor starts fast, then gets progressively slower.

Users report: "The performance has been incredibly slow. Simple tasks take much longer than they used to, and at times, the IDE completely stops responding."

Common problems include:

• IDE freezing every 1-2 hours, requiring restarts
• Memory leaks causing system slowdown
• Crashes during long editing sessions
• Response time getting worse with each update

One review summarized it: "Every time I use it, more bugs, issues, and linter errors appear."

Breaking Changes With Updates

Multiple developers report that Cursor worked perfectly, then stopped working after an update.

"The newer versions feel completely different. They frequently produce broken results, introduce more bugs, and struggle to follow instructions properly."

Features that worked last month break this month. Code that compiled fine starts throwing errors. The AI that understood your instructions perfectly starts producing nonsense.

This creates a frustrating pattern: you find a workflow that works, then an update breaks it, and you spend time adapting to the new behavior.

Inconsistent AI Quality

Cursor's AI suggestions range from brilliant to baffling. Sometimes it perfectly understands your intent and generates clean, working code. Other times it rewrites perfectly fine code into something less readable.

One developer described the experience: "It doesn't understand even the most basic logic fixes, forcing me to go back and manually correct obvious mistakes."

The inconsistency is the problem. You can't trust the AI to consistently produce good results, so you end up carefully reviewing everything it generates - which reduces the time savings.

UI Clutter and Keyboard Conflicts

The interface gets busy with "Fix with AI" buttons, chat tabs, and popups everywhere. Some developers find this overwhelming.

Worse, Cursor hijacks common keyboard shortcuts. Cmd+K normally clears the terminal in VS Code - in Cursor it opens an AI prompt instead. This breaks muscle memory and interrupts workflow.

These are small annoyances individually, but they compound into real friction during daily coding.

The Composer and Agent Modes #

Cursor offers two advanced features for multi-file editing:

Composer Mode: You select specific files, describe what you want, and Cursor generates changes. You see a diff before accepting.

This works well when you know exactly which files need changes. The manual control prevents unwanted modifications elsewhere.

Agent Mode: You describe what you want, and Cursor figures out which files to touch. More autonomous but also more unpredictable.

Agent mode can be impressive when it works - asking it to "add dark mode support" and watching it update dozens of files correctly. But when it goes wrong, you're debugging mistakes across multiple files you didn't expect it to touch.

Most experienced developers stick with Composer Mode for production work. Agent Mode is better for experiments.

When Cursor Makes Sense #

Choose Cursor if:

• You're already comfortable with VS Code
• You want AI assistance without learning a new environment
• You're willing to tolerate performance issues for productivity gains
• You can handle occasional breaking changes with updates
• You're a developer who codes daily

Cursor makes sense for developers who want familiar territory with AI enhancements. If you live in an IDE all day, Cursor's productivity gains can outweigh its problems.

When Cursor Doesn't Make Sense #

Avoid Cursor if:

• You need reliable, consistent performance
• You can't afford time debugging IDE issues
• You're a beginner learning to code
• You want stability over cutting-edge features
• You're a non-technical founder trying to build products

For non-technical founders specifically, Cursor is particularly frustrating. You need to understand code to fix the AI's mistakes, debug when it produces broken output, and deal with the IDE's performance issues. For building products that make money, see launching AI SaaS in one weekend for better alternatives.

The Pricing Reality #

Cursor offers a free tier with limited AI requests. Most serious users upgrade to the Pro plan at $20/month, which includes more AI calls and premium features.

For teams, pricing is $40 per user per month. This can add up quickly for larger teams, especially when usage-based fees apply for extra premium requests.

The cost isn't unreasonable if Cursor genuinely boosts your productivity. But factor in the time spent dealing with performance issues and breaking changes - does the math still work out?

Can You Use Cursor If You Don't Know How to Code? #

No. Cursor is explicitly designed for developers who already understand code.

While Cursor's AI generates code suggestions, you need coding knowledge to review its output, fix mistakes when the AI produces broken code, and handle the performance issues. The tool assumes you're comfortable working in an IDE, understanding error messages, and debugging.

For non-technical founders who want to build products, Cursor is the wrong tool entirely.

Can Cursor Scale With Your Product? #

For developers, yes - with caveats.

Cursor can handle projects of any size if you're a skilled developer who can work around its quirks. The VS Code foundation means it scales technically.

But the practical scaling challenges are significant:

• Performance degrades over time, requiring frequent restarts
• Breaking updates can disrupt workflow on critical projects
• AI quality inconsistency means careful code review is always necessary
• Team costs add up at $40 per user per month

Why We Built Giga Create As The Alternative #

As developers ourselves, we appreciated what Cursor was trying to do. Faster coding, better autocomplete, AI assistance - these are valuable for developers.

But we kept seeing non-technical founders struggle with tools like Cursor. They'd spend weeks learning to code just to build a simple SaaS app. They'd battle performance issues and breaking updates when they should be talking to customers.

That's why Giga Create exists: to let founders skip the coding complexity entirely. No IDE to learn, no performance degradation to manage, no breaking updates to handle. Just describe your product and get working infrastructure - email signup, payments, database - that actually works from day one.

We built Giga Create because founders shouldn't need to become developers to validate their ideas.

See for yourself - try building any app idea below without touching code, IDEs, or configuration:

How Cursor Compares #

vs GitHub Copilot: Cursor offers more features (multi-file editing, composer mode, agent mode). Copilot is simpler and more stable.

vs Windsurf: Windsurf has better multi-file editing capabilities but more bugs. Cursor is more polished but less ambitious.

vs Claude Code: Claude Code is terminal-based with full transparency. Cursor is IDE-based with more hand-holding. See Cursor vs Windsurf vs Claude Code for detailed comparison.

vs Giga Create: Cursor helps developers code faster. Giga Create builds complete apps without coding. Different approaches for different audiences.

The Practical Recommendation #

Many developers use Cursor for day-to-day coding because the autocomplete and inline editing genuinely save time. When it works, it works well.

But they keep backups and alternatives ready for when Cursor has performance issues or breaking updates. And they carefully review AI-generated code because quality is inconsistent.

If you're a developer who codes daily and can tolerate occasional frustration for productivity gains, Cursor is worth trying. Just set expectations correctly - it's powerful but imperfect.

Common Questions About Cursor #

The Verdict #

Cursor is a powerful tool with real productivity benefits for developers who code daily. The autocomplete is genuinely good, the VS Code familiarity reduces friction, and features like composer mode can save significant time.

But the performance issues, breaking changes with updates, and inconsistent AI quality create real frustration. Cursor works best when you view it as an imperfect assistant that requires supervision, not a replacement for coding knowledge.

For developers willing to tolerate these trade-offs for productivity gains, Cursor is worth trying. For non-technical founders who need complete working products, skip the IDE complexity entirely and use tools designed for building products without coding.