We used to write code line by line, thinking through every function from scratch. But in 2025, something new is emerging — a workflow developers are calling “vibe coding.” It’s not just a catchy term. It’s a real shift in how we build software with the help of AI.
Let’s talk about what vibe coding actually is, how it works in practice, and why it's becoming a thing.
🧠 What is Vibe Coding?
At its core, vibe coding is about building software through intent, not syntax. You describe what you want, the AI suggests how to build it, and you guide it until it feels right.
You don’t start with,
“I need a function that does X.”
You start with,
“I’m building a page that helps users find nearby events. It should be clean, fast, and mobile-first.”
🎧 Why “Vibe” Matters
This approach mirrors how product and design teams work. You start with vision, not implementation. The code becomes a creative medium, not a static outcome.
Vibe coding means:
- You spend more time in feedback loops than on boilerplate
- You “converse” with your code instead of dictating it
- You work faster because the AI understands your intention
- It’s collaborative. Experimental. And yeah, kind of fun.
⚠️ This shift means developers are moving from writing code to directing it. It’s not about replacing skill — it’s about amplifying creativity and speed.
👉 What’s your take on vibe coding? Because we have thought the same way about AI...
Top comments (11)
This resonates with my experience. I describe the goal, AI offers options, I choose or refine. It's collaborative and much faster than traditional coding
Yes. Whether you're only studying how to code or already using it in your daily routine, it's a great way to optimize everything.
1 hour to make an web app and 100 hours to debug that and add new functionality.
I can see your concerns. Still, it should be utilized correctly and properly.
The best part? The progress. A couple of years ago we all laughed about how AI generates video. Now, it's a different situation.
Of course, you can build static websites and applications with AI, but when it comes to something complex, the AI just messes everything up.
It gives you individual solutions, and you work with large code with many dependencies.
I know a person who built a web app with AI (purely AI). After deploying, when the client told him to change it or remove it, the web app broke. You can code with AI only when you know what you are really doing. Of course you will get the AI in the future who will do everything, then everyone will be the dev.
It's an interesting point of view from personal experience. Indeed, we should be very careful with that. Thank you for sharing. Yeah, time will tell, so all we have to do is spectate.
In fact, we shared an article back in 2023 about the relevant AI topic. At that time, many AI tools were in early stages. The issue is in its core as well. Many of them are built by developers for developers. To make the workflow easier and faster. So, why try to make the coding process pleasant and intuitive for the developers when they can be replaced with AI? The answer is easy - developers will be essential for many, many years.
Really love this perspective on vibe coding! The shift from syntax to intent is exactly where AI shines — it's exciting to see how this will reshape the developer experience.
Already reshaping, and it's the best part. We're in the middle of many things coming soon.
Alok Gupta I understand your concerns about AI coding with complex applications, but I'd like to share a different experience. I've successfully built and continue to develop a fairly complex application using AI assistance. Currently participating in the Postmark Challenge competition with it.
MailMap
The key for me has been treating AI as a collaborative partner rather than doing "purely AI" development. I describe what I need, AI suggests solutions, and I guide the process based on my understanding of the architecture. When clients request changes, I can implement them successfully because I understand the codebase structure and dependencies.
I think the difference is in the approach - using AI to accelerate development while maintaining control over the overall design and decision-making process. It's definitely possible to build and maintain complex applications this way, but you're right that you need to know what you're doing
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We have many interesting topics there as well. Thank you!
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