If you’ve been following startup news, you’ve probably seen the meteoric rise of Lovable, the Swedish AI coding platform that has become Europe’s fastest-growing unicorn. In less than a year, the company has raised a $200M Series A at a $1.8B valuation and attracted more than 2.3 million active users.
Indeed, vibe coding has quickly become one of the hottest corners of AI. What began with hobbyists experimenting for fun has spread into businesses that want to build faster, reduce costs, and create with more freedom.
So what is vibe coding, how does it work, and how can teams use it responsibly? Let’s break it down.
Coined by OpenAI cofounder Andrej Karpathy in early 2025, vibe coding describes a style of software development where you “give in to the vibes”.
In practice, this means telling AI tools what you want, accepting their code suggestions wholesale, and nudging them toward a finished product.
Unlike traditional coding, where developers meticulously inspect and modify every line, vibe coders often accept what their AI assistant (such as Cursor, GitHub Copilot, or Claude Code) produces and only intervene when something breaks. Lovable’s appeal is straightforward. It helps people with little or no coding experience build apps and websites, a style that cofounder Anton Osika calls part of the new wave of “vibe coding.” explains, it’s less about syntax and more about interacting with your project conversationally, “see stuff, say stuff, run stuff, copy-paste stuff.”
It’s important to note that vibe coding isn’t just another no-code/low-code variant. With no-code tools, the blocks you drag are the specification. In vibe coding, the generated code itself becomes part of the spec. That makes it incredibly fast, but it also means without the right guardrails, the project can quickly collapse into what engineers call “write-only” code, software that works now but is hard to maintain later.
The vibe coding approach isn’t magic, but it’s timely.
Here’s a quick example: a customer support leader tells an AI system, “Greet users, answer shipping and refund questions from our help center, and escalate billing disputes to humans.”
Then, the system proposes a flow, connects to your knowledge base, and drafts escalation rules; you test with real tickets and nudge the behavior until resolution rates climb.
Platforms like Voiceflow make this cycle easier by giving product managers, designers, and engineers a shared canvas to test and refine conversational or agent-driven workflows, so you’re not just vibing code into existence, you’re shaping it into something production-grade.
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Vibe coding isn’t just weekend toy projects anymore; with the right guardrails, companies are pushing it into production. Here’s what a reliable loop looks like:
For businesses, though, refinement matters. A BCG report estimates that AI can cut customer interaction costs by up to 90%, but only if workflows are carefully integrated with existing systems. That’s why vibe coding tools built for collaboration (like Voiceflow) matter: they let product managers, engineers, and designers refine AI-generated logic together, avoiding the siloed “throw code over the wall” problem.
Vibe coding a web app is an iterative and collaborative process between the developer and AI. Here’s a general framework to get you started:
Before writing a single prompt, clearly articulate the purpose and feeling of your web app. Ask yourself:
Map out the user's journey through your application. This can be a simple text-based description. For example:
The right tools are crucial for a successful vibe coding experience. You'll likely need a combination of platforms that can handle different aspects of development, from UI generation to backend logic.
As you build out different components, you'll need to ensure they work together seamlessly. Test the application from a user's perspective to identify any awkward flows or bugs.
The ecosystem of AI-powered development tools is rapidly evolving. Here are some of the top platforms and services to consider for vibe coding your web app in 2025, categorized by their primary strengths:
One of the most striking shifts is the way vibe coding hands creative power to young people. Just as social media flipped creative control from professionals to amateurs, vibe coding is enabling students, hobbyists, and early-career builders to produce apps and tools on their own terms. This youth-driven wave suggests software may soon be shaped by cultural trends in the same way TikTok and YouTube reshaped entertainment.
Another emerging trend is the move toward visual design interfaces. Instead of relying solely on text prompts, tomorrow’s tools may allow users to sketch or drag elements on a canvas while AI fills in the code behind the scenes. That evolution will blur the line between design and development, making software creation even more intuitive.
Finally, as building becomes easier, the real bottlenecks shift. In a world where anyone can spin up a working prototype in a weekend, success will depend less on technical ability and more on creativity, distribution, and the ability to consistently generate fresh ideas.
Of course, vibe coding comes with real challenges. Many of today’s projects still feel blocky or buggy, not unlike the rough edges of early social media content. They can be fun experiments, but often fall short of production quality.
There are also serious concerns around edge cases and security. Authentication, privacy, and system architecture remain complex problems that require experienced engineers. Without seasoned supervision, even a simple prototype can expose vulnerabilities or break under real-world use.
For junior developers, the risks are different. While AI can accelerate their work, it can also mask subtle flaws that less-experienced coders may not catch. That gap makes oversight even more critical. The code may work today, but without proper reviews and testing, it can become brittle over time.
Lovable’s rise shows how quickly vibe coding has gone from internet meme to billion-dollar business. But for every flashy demo, the real story is about making these tools work at scale. Critics are right: vibe coding isn’t ready to power rockets or banks on its own. Yet for prototypes, internal tools, and even customer-facing copilots, it’s already changing how teams build.
The opportunity now is to combine the speed of vibes with the structure of platforms like Voiceflow. That’s where companies like Trilogy and Sanlam have proven the model, shipping faster, saving costs, and delivering reliable AI experiences.
For builders, the best next step is simple: experiment. Try vibe coding your first agent on Voiceflow for free and see how quickly your ideas can go from sketch to production.
Want to explore how Voiceflow can be a valuable resource for you? Let's talk.
