I Tried Vibe Coding with Cursor AI and It’s Superb!

Vibe coding is reshaping the world of software program improvement by letting us create purposes utilizing pure language as a substitute of infinite strains of code. Impressed by visionaries like Andrej Karpathy, this progressive method lets builders merely communicate or kind their concepts, whereas AI instruments, akin to Cursor AI, deal with the heavy lifting. Cursor AI is a breakthrough code editor that hurries up workflows for inexperienced persons and consultants alike. It automates routine duties, liberating builders to give attention to artistic design and strategic problem-solving. On this article, we are going to completely discover how vibe coding with Cursor AI is reworking how we construct fashionable software program.

What’s Vibe Coding?

Vibe coding is a paradigm shift in programming the place the main focus strikes from syntax and handbook coding to high-level design and thought expression. As an alternative of laboriously typing code, you merely describe what you need the applying to do. The AI takes your directions, processes them, and generates working code with minimal intervention. Because of this, even these with restricted coding expertise can construct useful purposes rapidly. This technique is making waves in Silicon Valley and past, promising to democratize software program improvement.

“It’s probably not coding – I simply see stuff, say stuff, run stuff, and copy-paste stuff, and it principally works.” – Andrej Karpathy

At its core, vibe coding means describing what you need your utility to do, and letting AI instruments generate the required code for you. It’s about thought expression, iterative refinement, and automating routine coding duties. The method depends on pure language prompts and steady suggestions to form useful, high-quality software program.

Whereas conventional coding calls for deep technical experience and time-consuming debugging, AI-powered instruments like Cursor interpret your verbal or written directions, and generate code quickly. This evolution shifts the developer’s position from handbook coding to artistic drawback fixing and system design.

It additionally allows quicker prototyping and considerably boosts productiveness. By automating mundane duties, it opens the door for even non-experts to construct working purposes, making software program improvement extra accessible and progressive.

What’s Cursor AI?

Cursor AI is a sophisticated, AI-powered built-in improvement atmosphere (IDE) that transforms pure language directions into code. By leveraging state-of-the-art language fashions and contextual evaluation, Cursor AI helps builders generate, debug, and preserve code effectively, streamlining the whole improvement course of.

How Cursor AI Works

Now let’s perceive how Cursor AI works. Listed here are the steps concerned:

1. Pure Language Enter

Builders begin by typing or talking their necessities—akin to “create a consumer authentication route” or “repair the error on this operate”—instantly into the IDE. This enter types the idea for the AI’s actions.

2. Contextual Evaluation

Earlier than producing code, Cursor AI analyzes the whole codebase. It understands the undertaking construction, coding conventions, and present patterns to make sure that any new code integrates seamlessly with the prevailing system.

3. AI-Powered Code Technology

Utilizing highly effective language fashions fine-tuned for programming duties, the AI converts pure language prompts into working code. It adheres to finest practices and established coding requirements to supply dependable, production-ready code.

4. Automated Debugging and Refinement

Cursor AI goes past code era by routinely detecting syntax errors and logical points. It presents debugging ideas and iteratively refines its output primarily based on developer suggestions, serving to to repair points rapidly with out handbook intervention.

5. Enhanced Documentation Lookup

The IDE incorporates a wise documentation system that permits builders to rapidly entry each inside undertaking paperwork and exterior sources. This function ensures that builders can simply discover related code examples, API documentation, and troubleshooting guides as wanted.

Key Options of Cursor AI

Listed here are a few of the key options of Cursor AI:

• AI-Powered Code Technology: Converts pure language necessities into useful code, lowering handbook coding.
• Automated Debugging: Identifies and suggests fixes for errors, streamlining the debugging course of.
• Context-Conscious Help: Understands the whole codebase to supply tailor-made suggestions and preserve consistency.
• Enhanced Documentation Lookup: Gives fast entry to documentation and exterior sources to resolve queries and make clear ideas.

Cursor AI considerably reduces improvement time by automating repetitive duties, enabling builders to give attention to high-level design and problem-solving

Set up Cursor AI

Cursor AI Pricing Plans

Cursor AI presents three totally different pricing plans: Passion, Professional, and Enterprise. The free model or Passion Plan comes with a 14-day Professional trial, 2,000 completions, and 50 gradual premium requests per thirty days after the trial interval. The Professional Plan, priced at $20/month, consists of limitless completions, 500 quick premium requests, and limitless gradual requests. You may get the Professional Plan at a reduced worth of $16/month, if billed yearly. The Enterprise Plan, which prices $40/consumer/month, provides centralized billing, admin controls, privateness enforcement, and SSO integration to the Professional Plan.

Aside from these fastened worth tiers, Cursor AI additionally presents enterprise options, with customized pricing and prolonged assist. Whereas a 14-day Professional trial offers entry to limitless completions and 500 quick requests, some customers report unofficial trial resets. Quick requests are prioritized, whereas gradual requests might have delays. Pricing ensures sustainability, as operating giant AI fashions like GPT-4o or Claude incurs excessive prices.

Constructing a Internet-Primarily based To-Do app Utilizing Cursor AI

Now, let’s strive constructing a web-based To-Do app utilizing Flask with the assistance of Cursor AI. By utilizing AI-assisted coding, we are able to rapidly arrange the undertaking whereas refining the design and performance as wanted.

Making a web-based To-Do app utilizing Flask and Cursor AI permits builders to streamline the event course of whereas specializing in design and performance. This information walks by way of the whole workflow, from organising the undertaking listing to including animations, making certain a easy and polished utility.

Do take into account that Cursor AI might generate totally different outputs for a similar immediate. You’re suggested to switch your subsequent prompts primarily based on the output you obtain to align along with your undertaking necessities. So now, let’s get began.

Step 1: Creating the Challenge Listing

Earlier than producing the To-Do app, it’s a good observe to create a devoted listing for the undertaking. This ensures that Cursor AI locations all generated information within the appropriate location.

Immediate to Create Listing and Scaffold the Challenge: “Construct an online primarily based to do app utilizing Flask”

After I immediate “Construct a web-based To-Do app utilizing Flask”, Cursor AI rapidly units up the undertaking. It checks the workspace and creates the important information: necessities.txt for dependencies, app.py for the primary utility, a templates/ folder for HTML, and a static/ folder for CSS.

Cursor AI builds the app with options to add, mark, and delete duties. It makes use of an SQLite database for storage and designs a fashionable, responsive UI with animations, hover results, and the Poppins font. Every job features a timestamp for monitoring as properly.

To run the app, it suggests putting in dependencies with pip set up -r necessities.txt and beginning the server with python app.py. I accepted all of the adjustments by simply click on on “Settle for all”, as you’ll be able to see within the above picture.

Right here you’ll be able to see that the listing has been created.

Within the video under you’ll be able to see that Cursor AI has created the information required to make the To-Do app.

Step 2: Putting in Dependencies

After the information are created, the following step is to put in the required dependencies from necessities.txt. For this, as properly, I’ll present a immediate to the cursor agent.

Immediate: “set up the necessities“

As you’ll be able to see within the picture, all we’ve to do is affirm the set up course of by clicking on the “Run command” button in Cursor AI.

Step 3: Operating the Utility

With all of the dependencies put in, we are able to now run the app.py file to start out the Flask utility.

Immediate: “now run the app.py”

And simply click on on “Run command”.

After operating the app, after I clicked on this URL, I received my internet primarily based To-Do app http://127.0.0.1:5000

Step 4: Enhancing the Frontend Design

The app is efficiently operating, however I’m not glad with the frontend. It seems too primary and never as visually interesting as I would love. To reinforce the design, I’ll immediate Cursor AI to make enhancements by refining the styling, optimizing the structure, and including interactive components to make the UI extra partaking. Let’s see how that’s finished

Immediate to Enhance UI: “I don’t like the present design of the app, embrace extra blue color and make it higher and eye catchy”

Right here’s a video of the adjustments being made.

After making use of these enhancements, the to-do listing seems extra polished and visually interesting. Now let’s add a job and see the way it works.

So we are able to see that after including the duty, we get choices like ‘Full’ or ‘Delete’. ‘Full’ will present that you’ve finished the work, and ‘Delete’ will take away the duty from the listing. It additionally exhibits the time of making the listing.

Our new and improved internet app is now prepared.

The UI is trying nice! However now let’s add some animation to it.

Step 5: Including Animations

We are able to add animations to create smoother transitions and enhance the consumer expertise.

Immediate for Including Animations: “Improve my Flask to-do listing UI with easy CSS and JavaScript animations for job actions, button hover results, and transitions.”

Click on on the “Run command” button and we are able to see that it’s making a JavaScript for our animation.

As soon as Cursor AI generates the animations, we are able to take a look at their performance and refine them for a smoother expertise.

Right here’s the ultimate results of the web-based To-Do app that I created by vibe coding with Cursor AI.

Step 6: Closing Testing

After implementing animations, take a look at the whole utility by including, updating, and deleting duties to make sure it’s functioning easily. If essential, make extra refinements to enhance the consumer expertise.

Additionally Learn: Construct No-Code AI Brokers on Your Cellphone for Free with the Replit Cellular App!

Limitations of Vibe Coding with Cursor AI

Whereas Vibe Coding with platforms like Cursor AI presents transformative capabilities, it additionally comes with its personal set of challenges. Understanding these limitations is essential for builders to maximise its potential whereas mitigating drawbacks.

Present Limitations of AI-Generated Code

• Misplaced Generated Code: Cursor AI typically inserts code in incorrect areas, resulting in errors and disruptions. This difficulty is especially problematic in advanced tasks the place exact code placement is crucial.
• Context Forgetfulness: After durations of inactivity or switching between tasks, Cursor AI might lose context, leading to inaccurate ideas. This may gradual productiveness, particularly in large-scale or multi-file tasks.
• Struggles with Complicated Bug Detection: Whereas Cursor AI effectively identifies frequent bugs, it struggles with advanced points requiring deep understanding of the codebase or domain-specific information. Builders should manually intervene to resolve such issues.
• Code High quality Issues: AI-generated code might lack the precision of human experience, doubtlessly introducing inefficiencies, safety dangers, or compliance points. That is notably regarding in regulated domains like healthcare or finance.
• Scalability Challenges: As tasks develop, AI instruments like Cursor might wrestle to handle bigger codebases or intricate system architectures. Human intervention stays essential for scalability and maintainability.

Want for Human Experience

• Oversight and High quality Assurance: Builders should evaluation AI-generated code to make sure it meets undertaking requirements, avoids safety vulnerabilities, and maintains excessive reliability.
• Dealing with Complicated Enterprise Logic: AI instruments usually fall quick in understanding intricate enterprise necessities. Builders want to offer specific directions and intervene to align the code with undertaking wants.
• Moral Issues: AI fashions can introduce biases or errors as a result of limitations of their coaching information. Human oversight is crucial to make sure moral and accountable coding practices.
• Complementing Creativity and Drawback-Fixing: Whereas AI excels at automating repetitive duties, it lacks human creativity and strategic pondering. Builders stay indispensable for innovation and sophisticated problem-solving.

My Closing Ideas

Utilizing Cursor AI felt like I used to be copy-pasting my concepts straight into working code. It was quick, intuitive, and genuinely enjoyable. Whereas it’s not good and nonetheless wants human oversight, the best way it simplifies coding is game-changing. In case you’re a developer, you need to give vibe coding a strive; it’d simply change the best way you’re employed!

Conclusion

Cursor AI makes coding really feel easy, turning concepts into useful purposes with minimal effort. Whereas it isn’t flawless and requires human intervention for advanced logic and bug fixing, its capacity to streamline improvement is simple. It empowers builders to give attention to creativity as a substitute of repetitive coding duties. Whether or not you’re a newbie or an skilled programmer, vibe coding with Cursor AI presents a glimpse into the way forward for software program improvement—the place innovation, velocity, and effectivity take heart stage.

Continuously Requested Questions