| Cursor | Business (central billing) | €40 | €5,760 |
At first glance, Cursor looked more expensive. I almost closed the spreadsheet right there and went back to my deployment fire.
But here's the thing.
Copilot required us to keep our existing IDE licenses. VS Code is free, sure—but half our team was on IntelliJ Ultimate at €16.90/month. Cursor is a full IDE built on VS Code. No extra IDE costs. No plugin conflicts. No "why is my Copilot extension crashing again?" debugging sessions at 4 PM on a Friday.
You know those sessions. The ones where you end up on page 3 of a GitHub issue thread from 2022 and the fix is some arcane ritual involving disabling and re-enabling extensions in a specific order.
Our actual savings: €700/month × 12 months = €8,400/year. That bought a lot of Club Mate. 🚀
But honestly? The financial part was the least interesting thing about this whole migration.
Why We Actually Switched (The Non-Money Reasons)
I'll be real with you—I was skeptical. I've been using Copilot since 2021. The inline completions felt like actual magic. But last month, I spent three hours debugging a React state issue that Copilot caused by hallucinating a useEffect dependency. I trust it... until I don't.
That's the thing with Copilot. It's great until it isn't. And when it isn't, you're in for a long afternoon of questioning your life choices.
Cursor's pitch is fundamentally different. It's not "AI writes code for you." It's "AI understands your codebase."
Here's a concrete example. In Copilot, I'd ask:
// Q: How do I refactor this auth middleware to use JWT refresh tokens?
Copilot would generate a plausible snippet. But it didn't know our folder structure, our existing token utilities, or that we use httpOnly cookies. Half the time, I'd end up rewriting 60% of its output. Sometimes more.
In Cursor, I hit Cmd+I (Composer), typed: "Refactor auth middleware to handle refresh token rotation, using the existing tokenUtils.ts in /lib." It opened the file, understood our patterns, and proposed changes across three files. It even caught that our User type didn't have a refreshTokenExpiry field and asked if I wanted to add it.
I just stared at my screen for a second.
That's the difference. Context window matters. A lot.
Well... it's complicated. The context window thing is huge, but there's also something about how Cursor indexes your project. I think. From what I've seen, it's doing some kind of embedding thing in the background. I haven't dug into the technical details yet—but whatever it's doing, it works.
The Training Roadmap We Wish We Had
I messed up here. Big time. 🔥
My original plan was: "Everyone's smart, they'll figure it out in a week."
Nope.
Wrong.
Terrible.
Our senior backend dev—brilliant engineer, 15 years of experience—almost rage-quit Cursor on day 2 because "the Tab completion feels different." Our junior frontend dev discovered Cursor's inline chat and started accepting AI suggestions without reviewing them, introducing a subtle bug that slipped into staging.
The bug? A date formatting function that worked fine in UTC but broke for anyone in UTC+5:30 and eastward. Took us four hours to track down. I found it at 11:47 PM on a Tuesday. Not my finest moment.
Here's the training plan that actually worked (after I admitted my mistake and bought apology croissants from that bakery on Oranienstraße—the one with the ridiculous queue):
Week 1: "No AI Week" (Yes, Really)
- Goal: Learn the IDE, not the AI.
- Everyone used Cursor as a plain VS Code fork. No Composer, no inline chat.
- We customized keybindings to match our muscle memory. Took forever. I think Ahmed spent a whole day just getting his Vim keybindings right.
- The
.cursorrules file became our new best friend—we spent a full afternoon defining project conventions. Probably the best investment we made all month.
// .cursorrules example we use
You are working on a Next.js 14 app with TypeScript.
- Use server components by default, client components only when needed.
- Data fetching uses React Query v5, not useEffect.
- All API routes follow the pattern: /api/v1/[resource]
- Error handling: wrap in try/catch, return { error: string } shape.
Week 2: Controlled AI Exploration
- Daily 15-minute "Cursor tips" standup add-on. Each person shared one thing they discovered.
- Pair programming sessions: senior devs paired with juniors, specifically reviewing AI-generated code.
- Rule: No accepting multi-file edits without a second pair of eyes. I enforced this after the staging bug incident. Still feel bad about that one.
Week 3: Workflow Integration
- We defined team-wide Cursor shortcuts:
Cmd+K: quick inline edits (renaming, extracting functions)
Cmd+I: Composer for multi-file tasks (refactors, new features)
Cmd+L: Chat for "explain this code" or "write tests for this function"
- Started using
.cursorrules to enforce our PR template and commit message conventions.
By week 4, our velocity was back to normal. By week 6, it was noticeably faster—especially for boilerplate-heavy tasks like setting up new API routes or writing unit tests. The kind of stuff that used to make me want to take a nap.
The Hidden Costs Nobody Talks About
Not everything was roses. Here's what bit us:
- Onboarding new hires now takes longer. They need to learn Cursor's AI features on top of our codebase. We added a "Cursor buddy" system—two sessions in their first week. It helps. But it's still extra time we didn't budget for.
- Privacy concerns. Our legal team asked questions about where code snippets go. Cursor's Privacy Mode (which we enabled org-wide) doesn't train on business data, but it was still a conversation. A long one. With lots of emails. So many emails.
- The "vibe coding" risk. Juniors especially started relying too heavily on AI. Our code review process got stricter—we now explicitly ask: "Can you explain why this AI suggestion works?" If they can't explain it, they can't merge it. Period.
Real Numbers from Our Migration
After two months:
- Time to first meaningful PR for new features dropped ~30% (measured from Linear cycle time). I think. Our Linear setup is a bit janky, so take that with a grain of salt.
- Bug rate initially spiked 12% in week 2 (my fault, poor training), then dropped 18% below baseline by week 8.
- Developer satisfaction (anonymous survey): 9/12 preferred Cursor, 2 were neutral, 1 senior still misses JetBrains + Copilot. Fair. He's been using IntelliJ since 2014, so I get it.
Should You Switch?
If you're a solo dev or small team already on VS Code: yes, try it for a month. The free tier is generous. I think you get something like 2,000 completions and 50 slow premium requests? Check their pricing page—it's changed twice since I last looked.
If you're a larger org with compliance requirements: start with a pilot team of 3-4 devs. Run it for six weeks. Measure cycle time and defect rate, not just "do people like it."
Don't do what I did and assume "everyone will figure it out."
Just... don't.
Invest in the training roadmap. It's the difference between a productivity boost and a frustrating quarter where everyone's secretly annoyed at you but nobody wants to say anything in the retro.
☕ I'm writing this from a café in Kreuzberg. My Cursor just suggested a better way to structure this article's closing paragraph. I'm keeping my version. Some things are still human.
Oh, and if you're wondering—the café is called Five Elephant. Their cheesecake is ridiculous. Not relevant to the article, just thought you should know.
What's your experience? Has your team switched AI coding tools recently? Drop a comment—I'd love to hear what worked (or painfully didn't). Especially if you've tried both and hated both. Those stories are always the best.
ai #webdev #productivity #cursor #copilot #devops