Cursor

It works so good for me I find myself just asking it to do things and it is what I want so much that I just apply that and go to the next thing. I still understand what it is doing and these are mini project so it is not too complex (.net blazor)

but it feel likes coding has changed forever to me and its a lot more fun being the rule of the approver and not having to think so much about syntax and specifics.

I don't mean to be a fanboy but I tried a lot of tools and it feels like Cursor AI is in its own level. If a tool can't look at my entire context in 2024 I am not interested. So I got rid of Copilot

Only thing I still use is web based chatGPT to get started with an idea and get the initial code... Maybe I can do that all is cursor AI as well and since it can read context after every question it won't need to recall what it is doing.

Hi all, wrote up a detailed breakdown of how Cursor works and a lot of the common issues I see with folks using/prompting it.

Been reflecting on 6 months of using Cursor. Unexpected observations:

- I understand other people's code better (AI explanations helped develop this muscle)

- But I'm worse at remembering API details (why bother when AI knows?)

- My debugging skills improved (AI helps identify patterns)

- But my TypeScript skills degraded (rely too much on AI fixes)

Anyone else notice their skills changing in unexpected ways? Curious if AI is changing HOW we code, not just how fast.

I've been using Cursor for about a month now and I’m wondering which AI model works best with it. While Claude is quite good, it’s a paid option, which can be a limitation for some. On the other hand, Google Studio provides free API access to Gemini experimental models, and there are also models like GPT-3.5, GPT-4, and even open-source options like Llama, which I’ve heard good things about.

In my opinion, the choice of AI model matters more than the tool itself, like Cursor or Windsurf. If someone has experience with these models, it would be really helpful if they could share their insights in the form of two tables:

1. Best for Coding: Focusing on accuracy, context handling, and overall utility.

2. Fast and Efficient: Highlighting speed, affordability, and resource efficiency.

What are your thoughts? Which model do you think strikes the best balance between performance and accessibility for coding tasks?

Cursor AI Code Editor is an innovative tool designed to enhance the coding experience by integrating artificial intelligence (AI) to help developers write, debug, and optimize code. With AI-powered suggestions and real-time error detection, Cursor AI is positioned as a great resource for developers looking to improve their productivity. The tool not only assists with code completion but also offers insights to help streamline workflows and reduce common coding errors. But how does it compare to other popular code editors like VS Code, JetBrains, or Sublime Text?

For an in-depth analysis of Cursor AI and a comparison with other tools, check out this blog post.

When compared to well-established editors, Cursor AI shines in terms of its smart assistance features. While traditional editors have vast plugin ecosystems, Cursor AI’s unique selling point lies in its AI integration, which can save time for developers who rely heavily on automated suggestions. Additionally, its ease of use makes it a strong competitor for both beginner and seasoned coders. However, seasoned developers might still prefer their go-to tools for specific, complex tasks.

What do you think? Could AI-powered code editors like Cursor AI eventually replace traditional ones, or will they simply remain an additional tool in the coding arsenal?