Why My Cursor v1.0 Installation Froze and How I Fixed It in Minutes
June 19, 2025How I Fixed Cursor 0.50’s Buggy Edits and Mastered the New Features
June 19, 2025
I was excited to test Google’s new Gemini models in Cursor IDE, especially gemini-2.0-flash-exp and gemini-2.0-pro. But instead of smooth sailing, I ran into chaos that threw off my coding rhythm. Here’s what went wrong and how I fixed my workflow.
The Core Problems I Faced
Right off the bat, the Gemini models were acting strange. The gemini-2.0-flash-thinking-exp model kept leaking system prompts and internal logic in its responses. That made the outputs messy and useless.
For instance, I asked it to create a new logging file. Instead, it either ignored me or threw errors in notepad mode. This wasn’t just a minor annoyance—it completely derailed my workflow for basic tasks.
Then came the non-English character headaches. I tried generating some Korean content, and the rendering turned into gibberish. Check out this example:
<!DOCTYPE html>
<html lang="ko">
<head>
<meta charset="UTF-8">
<title>Learn Korean</title>
</head>
<body>
<h1>한국어 배우기</h1>
<p>This should display correctly, but it didn't.</p>
</body>
</html>
What’s weird? This only happened inside Cursor. When I used the API directly, everything was fine. So it’s clearly a parsing bug in the IDE.
Key Insights and Actionable Fixes
Despite the glitches, I found some real strengths with Gemini. The speed is incredible, and it’s super cost-effective.
In one test, gemini-2.0-pro cracked a tough coding problem in just 20 seconds. Meanwhile, Sonnet 3.5 ran for hours and still failed. And those flash models? They count as fast requests, so they’re perfect for unlimited simple jobs.
Here’s how I tweaked my setup to make it work:
- Handle context limits: When models hit token limits, they crashed instead of degrading gracefully. My fix? Clear those “Thinking” sections from the context. Just hop into Cursor’s settings to trim extra tokens.
- Choose the right model: For quick and simple jobs, I switched to gemini-2.0-flash. For execution-heavy tasks, gemini-2.0-pro was the best, but I avoided it for refactoring until it’s more stable.
- Work around rendering issues: To skip garbled text, I used only English in Cursor and switched to the API for other languages. Enabling models selectively in settings also helped avoid surprises.
My Final Recommendations
Gemini in Cursor is revolutionary for speed, but it requires a light touch. I now rely on it for quick code generation and tests, saving Sonnet for the heavy thinking.
I’m looking forward to updates that improve integration, especially in Agent mode. For now, take it slow. Start with simple tasks and keep an eye on token usage to sidestep problems.
