Vibe coding is the act of prompting a specialized Large Language Model (LLM) designed to help with software development. Instead of coding something manually, the LLM generates software for a user to then test and refine through continued prompting.
There are other methods of AI-assisted coding, but vibe coding has a lot of buzz because it can be done easily by people with little or no technical expertise. There are people with programming backgrounds who are vibe coding as well, but the accessibility means it’s happening at a large scale right now.
Vibe coding is great for prototyping and creating a proof-of-concept. It also gives experienced developers a great tool to help with architecture and planning for future software and learning new frameworks or techniques. Basically, vibe coding is best suited at the starting line of a project.
Another way in which vibe coding is best used is to test ideas before committing the resources necessary to build it out. Instead of having to fully build something out and then change it all the next day, vibe coding lets everyone get on the same page before large-scale production begins.
If you’re someone without technical experience, vibe coding helps bridge the gap between you and a team of people with programming backgrounds. You can feel much more prepared to talk about what the tool should do when you make a mockup in an LLM first.
One other place where you can get the most out of vibe coding is building internal-facing tools. If your team finds that they need small workflow automation or integration but no one has the time or know-how to create it themselves, vibe coding can help.
Vibe coding is good for starting and ideating, but it has its shortcomings. Vibe-coded software often comes with security concerns, meaning you don’t want to use a vibe-coded tool to manage people’s sensitive data.
Vibe coding should also never be the end goal for your organization. While the short-term benefits are nice, any software you plan to implement as a long-term or enterprise-level solution should have a real human reviewing the code before it’s implemented for good.
In short, vibe coding is a good starter tool, but software that’s purely vibe-coded isn’t a final product. If a customer or client is going to interact with it, you’ll want a human to review all the code first.
Use AI as a pair programmer, the best way to do this while coding is to treat it like an intern, let it do some work and take the busy work off your plate but always review everything it does. Here's what to keep in mind when working AI into your development process.
Vibe coding is the most hands-off way to use AI in software development, but it's not the only way. Development teams are using AI at nearly every stage of the process, but successful teams are still relying on human expertise first:
The important part of all of these is that there’s a human making all the final decisions. Where vibe coding hands over most (if not all) control to AI, these other approaches keep human expertise at the forefront of the work.
Vibe coding can be genuinely useful. It's fast, accessible, and a great way to test an idea with minimal investment of resources. But speed isn't the same thing as quality and software needs to hold up for real users, real data, and regulated industries. When something needs to be built for scale, that’s when it’s important to bring in a developer with real expertise and experience.
If you don’t have the time or resources to onboard a software developer but you know you your issue can be solved with software, that’s when it’s best to reach out to a software development partner like Yahara Software. Our team of developers has the experience and know-how that you need and can’t get from AI tools alone.
Is vibe coding safe to use for production software?
Not on its own. Vibe-coded software should go through full developer review, testing, and security checks before it handles any real data.
What's the difference between vibe coding and other AI-assisted coding?
Vibe coding gives AI full control at the start, with the developer reviewing only the product after the fact. Other approaches keep a human more closely involved throughout, with the AI acting as a pair programmer or reviewer.
Can someone with no coding experience build a real app with vibe coding?
They can build a working prototype or mockup, which can be useful for testing ideas. Turning that into production-ready software should always include an experienced developer.
When should I bring in a professional developer instead of vibe coding?
As soon as a project is ready to move from a prototype to something that might touch real data.