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9 months coding with Cursor.ai
serge_shima April 29, 2025
815 likes
*Vibecoding turned into fuckoding. But there's a way out.*
Cursor, [WindSurf](https://windsurf.com/editor), [Trae](https://www.trae.ai/) – they're awesome. They transform Excel into SQL, slap logos onto images, compile videos from different sources – all through simple scripts. Literally in 15 minutes!
But try making a slightly more complex project – and it falls apart. Writing 10K lines of front and back code? The model loses context. You find yourself yelling: "Are you kidding me? You literally just did this! How do you not remember?" – then it freezes or gets stuck in a loop.
The problem is the context window. It's too short. These models have no long-term memory. None whatsoever. It's like coding with a genius who lacks even short-term memory. Everything gets forgotten after 2-3 iterations.
I've tried Roo, Augment, vector DBs for code – all useless.
* [Roo Code](https://github.com/RooVetGit/Roo-Code) is great for architecture and code indexing, weaker on complex implementation
* [Augment](https://www.augmentcode.com/) is excellent for small/medium projects, struggles with lots of code reruns
* Various vector DBs, like Graphite - promising honestly, lov'em, but clunky integration)
But I think I've found a solution:
* Cursor – code generation
* [Task-master A](https://github.com/eyaltoledano/claude-task-master)I – breaks down tasks, maintains relevance
* [Gemini 2.5 Pro](https://aistudio.google.com/) (aistudio) – maintains architecture, reviews code, sets boundaries
* [PasteMax](https://www.reddit.com/r/ChatGPTCoding/comments/1j31dfj/i_built_an_opensource_alternative_to_repoprompt/) – transforms code into context for aistudio (Gemini 2.5 Pro)
My workflow:
1. Describe the project in Gemini 2.5 Pro
2. Get a plan (PRD)
3. Run the PRD through Task-master AI
4. Feed Cursor one short, well-defined task at a time
5. Return code to Gemini 2.5 Pro for review using PasteMax
6. Gemini assigns tasks to Cursor
7. I just monitor everything and run tests
IMPORTANT! After each module – git commit && push.
Steps 4 to 7 — that’s your vibecoding: you’re deep in the flow, enjoying the process, but sharp focus is key. **This part takes up 99% of your time.**
Why this works:
Gemini 2.5 Pro with its 1M token context reviews code, creates tasks, then writes summaries: what we did, where we got stuck, how we fixed it.
I delete old conversations or create new branches – AI Studio can handle this. Module history is preserved in the summary chain. Even Gemini 2.5 Pro starts hallucinating after 300k tokens. Be careful!
I talk to Gemini like a team lead: "Check this code (from PasteMax). Write tasks for Cursor. Cross-reference with Task-master." Gemini 2.5 Pro maintains the global project context, the entire architecture, and helps catch bugs after each stage.
This is my way: right here - right now
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View allSomeone did a deep dive into Cursor Agent and discovered that it was literally just Claude Code with a process that does search and replace to brand it as Cursor Agent
[https://gist.github.com/jasonkneen/4c065df2d7a95610e4fd30c3e3398b17](https://gist.github.com/jasonkneen/4c065df2d7a95610e4fd30c3e3398b17)
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DrySalamander9728 178
How I use Cursor 10+ hours a day without torching my Claude Opus 4.6 limits
Anyone else here doing full-stack Next.js in Cursor and watching the Claude quota evaporate before lunch? I used to be in the same boat — massive context windows from all the components, pages, and DB logic would smoke the default limits fast. Not anymore. I’ve been on this setup for weeks and basically never hit a wall while still getting top-tier answers. Here’s exactly what I do: **1. .cursorrules is non-negotiable** I keep one in the root of every project. The key line I added: “Never explain the code to me. Just output the code blocks.” That single rule saves me thousands of output tokens a day. No more walls of “here’s what I changed and why” — just the goods. **2. Stopped using Cursor’s built-in Claude quota** I killed the default Cursor Pro subscription for the heavy stuff. Instead I use my own API keys and point Cursor’s “OpenAI Compatible” base URL at LLM Router Gateway. Inside [llmrouter](https://llmrouter.app/) routing settings I set up simple tags routing like this: * **UI & CSS tweaks**: gemini-3.1-flash → gpt-5.4-mini * **Deep backend / complex logic**: claude-opus-4.6 → deepseek-v3.2 * **General / quick questions**: llama-4-scout I sorted the fallback chains by speed vs intelligence. The router auto-detects the query type, so 90% of my UI polish and small fixes go to Gemini (basically free + huge context). I only actually hit Claude Opus 4.6 when I’m doing nasty database refactors or tricky architecture stuff. My Anthropic bill dropped \~70% overnight. **3. Cmd+K for everything small** Don’t open the full chat sidebar just to rename a variable or extract a component. Highlight the code, hit Cmd+K, let a fast model handle the inline edit. Saves a ton of tokens and feels way snappier. That’s it. Super simple but it completely changed how much I can actually use Cursor in a day. How are you all managing the limits? Using a Cursor Team? Or did you build your own router hacks too? Drop your setups — always looking to steal better ideas.
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Youssef_Wardi 310
Cursor V3 is a significant regression
So I used to be a big cursor fan - striked the right balance between trusting the AI and being able to check the work. The new version however, sucks. Worktrees are now essentially AI initiated magic git commands that require manual approval, which is slow and annoying, and means I have to read through a bunch of git guff, and I have to wait like a minute before it does any real work for it to essentially do something that can be duplicated with a script, and it doesn't work well half the time - it had to retry twice to apply worktree changes! The new agent screen is pretty useless, because now you need to go and select a bunch of information that previously would be entirely obvious from context i.e. alt-tabbing into a specific repo's IDE. I don't like this direction and if they continue, I might start looking at competitors. Cursor is clearly aimed at and used by developers who can read code and want to read the code produced by AI. I use Claude Code if I want to just trust the AI.
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ExaminationNo8522 212
Introducing Cursor 3
We’re introducing Cursor 3. It is simpler, more powerful, and built for a world where all code is written by agents, while keeping the depth of a development environment. With the new Cursor, you can run as many agents as you want, everywhere you want: locally, in a worktree, on remote ssh, and in the cloud. And it has the best parts of the editor available when you need them. The new interface is available as a separate window that complements the IDE. Update Cursor to try it. We recently launched Composer 2, a frontier model with high limits. Then, with cloud, we gave agents their own computers so they can work truly autonomously. And now with Cursor 3, we’re releasing a new interface to collaborate with agents on software.
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lrobinson2011 184
Cursor 3 out now
Cursor 3 out now
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Graniteman 125
They kinda cute
They kinda cute
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sugandalai 828