The comparison everyone wants to make
The rise of vibecoding has raised a fundamental question: is it really better than traditional development? The answer is nuanced and depends on your project, team, and objectives. In this article, we compare both approaches based on concrete measurements from our projects at Breathbase, so you can make an informed choice.
Let us be honest: vibecoding is not the solution for every problem, and traditional development is not outdated. The reality is that both approaches have their strengths and weaknesses, and the smartest teams combine them based on the situation.
Development speed
Prototyping and MVP
When building prototypes and MVPs, vibecoding is unmatched in speed. What traditionally takes two to four weeks, we realize with AI tools in three to five days. A fully working dashboard with authentication, database integration, and basic API can be standing in a day. The speed gain is greatest with standard web applications using known patterns.
Complex enterprise applications
With complex applications involving extensive business logic, strict compliance requirements, and integrations with legacy systems, the difference is smaller. Vibecoding still accelerates by 30-50% here, but the time savings are partially offset by the additional review and testing required. Architecture decisions still require human expertise.
Vibecoding does not replace expertise — it amplifies it. The greatest productivity gain is seen with experienced developers who know exactly what they want to build and use AI to accelerate the execution work.
Cost analysis
The cost savings of vibecoding are substantial but vary by project type. For a typical web application project, we see the following breakdown: traditional development costs an average of 40,000 to 80,000 euros for a medium-sized project. With vibecoding, we reduce this to 20,000 to 45,000 euros — a saving of 40-50%.
The cost reduction comes from three sources: fewer development hours due to faster code generation, less boilerplate code that needs to be written manually, and faster iteration cycles requiring fewer revision rounds. The tools themselves cost relatively little: Cursor costs around 20 dollars per month per developer, and Claude Code is comparable.
Hidden costs
There are also hidden costs with vibecoding. AI-generated code requires more thorough review, which takes extra time. Developers need to be trained in effective prompt engineering. And sometimes AI generates code that introduces technical debt that is expensive to resolve later. A good AI consultancy partner helps you avoid these pitfalls.
Quality and scalability
The quality of vibecoded applications strongly depends on the team's experience. In the hands of an experienced developer, vibecoding produces code that is qualitatively comparable to handwritten code. The AI follows the patterns and standards the developer directs. In the hands of an inexperienced user, quality may be lower because suboptimal patterns are not recognized.
Scalability is a point of attention. AI generates code that works for current requirements but does not always think ahead to future growth. Architecture decisions about caching strategies, database sharding, and microservices require human expertise. In full-stack AI projects, we therefore always combine AI speed with human architectural insight.
When to choose what?
Choose vibecoding for: prototypes, MVPs, standard web applications, internal tools, and projects with tight deadlines. Choose traditional development (or a hybrid approach) for: safety-critical systems, applications with complex algorithms, projects with strict regulations, and systems requiring extreme performance. The best results are achieved by strategically deploying AI development where it offers the most value, and using traditional methods where precision and control take priority.
