I Used Cursor AI for a Week — Here's What Actually Happened

I've been hearing about Cursor for months. Every dev subreddit, every Twitter thread, every "10x your productivity" post — Cursor was always in the conversation. So I decided to actually use it as my only editor for a full week and see what the hype is about. Here's the unfiltered version. ## Day 1: The Switch Switching from VS Code to Cursor took about five minutes. It's literally a fork of VS Code, so all my extensions, keybindings, and themes carried over. My muscle memory worked from the first second. That alone puts it ahead of every other "AI editor" I've tried — there's no learning curve for the basics. I opened a project, and the first thing Cursor did was index my entire codebase. For my medium-sized project (~2,000 files), this took maybe 30 seconds. I've heard horror stories about large monorepos taking hours, but for a typical project, it was fast. ## What Blew Me Away ### Tab completion that reads your mind This is the feature that sold me within the first hour. Cursor's Tab doesn't just autocomplete the current line — it predicts your *next edit*. You accept a suggestion, press Tab again, and it jumps to the next logical place you'd want to change something. It's hard to explain until you experience it. You start writing a function, Tab completes it, then Tab jumps you to where you need to add the import, then Tab takes you to the test file. It feels like pair programming with someone who's already read your code. Their custom Tab model was trained with reinforcement learning to show 21% fewer suggestions but with a 28% higher accept rate. In practice, that means less noise and more "yes, that's exactly what I wanted." ### Agent mode is the real deal Cmd+I opens the agent, and this is where Cursor separates itself from Copilot. You can say "refactor this component to use React hooks instead of class components" and it will: 1. Read the relevant files 2. Plan the changes 3. Edit multiple files 4. Run your linter to check for errors 5. Fix any issues it finds It doesn't just suggest code — it *executes*. With version 2.4's subagents, it can even spin up parallel tasks. Need to update the component AND its tests AND the documentation? It handles all three simultaneously. ### Codebase awareness The `@` symbol is incredibly powerful. Type `@filename` to reference a specific file, `@codebase` to search semantically across your project, or `@docs` to pull in documentation. This context management is what makes Cursor's suggestions actually relevant instead of generic. I found myself using `@codebase` constantly — "find everywhere we handle authentication" or "show me how we format dates across the project." It's like having a senior dev who's memorized every line of your code. ### .cursorrules changed everything On day 2, I created a `.cursorrules` file in my project root. This is basically a system prompt that tells Cursor how you want it to behave. I added things like: - "Use TypeScript strict mode, never use `any`" - "Prefer functional components with hooks" - "Always add error handling" - "Follow the existing naming conventions in this project" The difference was night and day. Before the rules file, suggestions were generic. After, they matched my project's style perfectly. This is the single biggest tip I can give any new Cursor user: write your rules file on day one. ## What Frustrated Me ### Performance on larger projects By day 3, I opened a bigger project at work — around 8,000 files. Cursor started struggling. The indexing took several minutes, and I noticed lag when typing. GPU usage spiked to 90% during code application. Some developers report memory consumption hitting 7GB+ with hourly crashes on large codebases. I had to tune things: added folders to `.cursorignore`, disabled some extensions, and increased Node.js memory limits. After that it was usable, but it shouldn't require manual tuning to handle a normal enterprise project. ### The constant updates Cursor pushes updates almost daily, and each one requires a restart. If you're running dev servers in the integrated terminal — which I always am — that means restarting your servers too. It's a small thing, but by day 5 it was genuinely annoying. Some updates also moved UI elements around or changed how features worked. The Cursor forum has threads from frustrated users saying the interface changes too frequently. I get that they're iterating fast, but stability matters when this is your daily tool. ### AI quality is inconsistent When Cursor is good, it's *incredible*. But it has bad days. Sometimes the agent would confidently make changes that broke things in subtle ways — passing tests but introducing logic errors. One afternoon, the suggestions felt noticeably worse than the morning, which makes me think it depends on which model is handling your request and how loaded the servers are. The Cursor forum has posts from power users calling the Composer feature "an absolute garbage producing slop machine" during bad periods. That's harsh, but I understand the frustration when you're paying $20/month and the quality fluctuates. ### It can make you lazy This is the sneaky one. By day 4, I caught myself accepting suggestions without fully reading them. The Tab completion is so good that you start trusting it blindly. I had to consciously slow down and review what it was generating, especially for business logic. One user on Reddit put it perfectly: "It helps a lot if you change how you work. It feels useless if you treat it like a fancy autocomplete." You need to think of it as a junior developer who's very fast but needs code review. ## The Pricing Reality - **Free**: 2,000 completions (enough to try it, not enough to use it) - **Pro**: $20/month — unlimited completions, 500 fast requests - **Pro+**: $60/month — more agent usage - **Ultra**: $200/month — heavy agent users - **Business**: $40/user/month — team features, admin controls For most solo developers, Pro at $20/month is the sweet spot. You'll only feel limited during intense multi-file refactoring sessions. But be aware — heavy agent usage can burn through your allowance fast. ## Cursor vs GitHub Copilot I used Copilot for over a year before this, so here's the honest comparison: | | Cursor | GitHub Copilot | |---|---|---| | **Inline completions** | Excellent (+ next-edit prediction) | Excellent | | **Multi-file editing** | ✅ Native, powerful | ⚠️ Limited | | **Codebase understanding** | Deep (indexes everything) | Surface-level | | **Agent mode** | Full autonomous agent | Basic | | **IDE support** | Cursor only (VS Code fork) | VS Code, JetBrains, Neovim, etc. | | **Price** | $20/month | $10-19/month | | **Model choice** | GPT-5, Claude, Gemini | Primarily OpenAI | **Copilot wins** if you need IDE flexibility, want the cheapest option, or work in JetBrains. **Cursor wins** if you do complex multi-file work and don't mind being locked to one editor. ## My Verdict After 7 Days Cursor made me mass faster at the boring parts of coding — boilerplate, refactoring, test writing, documentation. I'd estimate it saved me 1-2 hours per day on a typical workday. For $20/month, that's absurd ROI. But it didn't make me a better programmer. The hard parts — architecture decisions, debugging subtle logic errors, understanding business requirements — are still 100% on me. Cursor is a productivity multiplier, not a replacement for knowing what you're doing. **Would I keep paying?** Yes. Going back to vanilla VS Code after a week of Cursor feels like coding with one hand tied behind your back. That's not marketing — that's what it actually feels like. **Who should try it:** - Any developer writing code daily (the free tier is enough to decide) - Teams doing lots of refactoring or working across large codebases - Solo developers who want to ship faster **Who should skip it:** - Developers who primarily work in JetBrains IDEs - Teams with strict security policies that don't allow code to be sent to external APIs - People who expect AI to write entire applications without guidance ## Tips If You're Starting 1. **Write a `.cursorrules` file immediately** — this is the single biggest quality improvement 2. **Learn the `@` references** — `@file`, `@codebase`, `@docs` make the AI actually useful 3. **Don't accept suggestions blindly** — review everything, especially business logic 4. **Use agent mode for refactoring, Tab for writing** — each has its sweet spot 5. **Add large folders to `.cursorignore`** — node_modules, build artifacts, vendor deps 6. **Treat it like a junior dev** — fast and eager, but needs supervision **Related:** [Claude Code vs Cursor — Which One Wins in 2026?](https://www.aimadetools.com/blog/claude-code-vs-cursor-2026/?utm_source=devto) --- *Originally published at [https://www.aimadetools.com](https://www.aimadetools.com/blog/cursor-ai-one-week-review/?utm_source=devto)*