Coding Vibe was recently named Word of the Year 2025 by Collins Dictionary and has become the latest trend in artificial intelligence.
Many companies are jumping on the bandwagon and offering their own Vibe-based workflows, from Vibe Work to Vibe Marketing to Vibe Automation, with varying degrees of success.
‘Vibe’ is increasingly used to describe work processes that are based on intuition and where creativity is of utmost importance.
This is possible for developers thanks to the power of artificial intelligence tools; With vibe coding, developers are guided by ideas and impulses, and thanks to the support of language models, code is created almost on the fly.
It’s not so much about structured programming, as technical complexity takes a back seat.
But what is lost when quality and safety controls are no longer a priority? As vibration coding becomes an integral part of software development, the needs of developers will change dramatically. With artificial intelligence and developers working hand in hand, the future of programming is poised for profound change.
democratize software development
With AI taking on the technical burden, vibe coding opens up new software development opportunities for those without deep programming skills. In addition to the speed and simplicity benefits of AI that we all know now, vibe coding democratizes programming by lowering the barriers to entry.
With minimal manual coding effort, less technical users can easily train an AI assistant, while more experienced developers can spend their time tinkering and experimenting.
Dynamic coding means that the tedious task of writing lines of code is replaced with time spent on brainstorming, experimenting and prioritizing creativity. The developer then takes on a more creative role and has the opportunity to drive innovation for the company.
In addition, ideas can be implemented more quickly with Vibe coding, allowing the organization to benefit from an accelerated development process.
The prize for creativity
Although Vibe Coding is designed to deliver code quickly, it is not designed with security, maintainability, and long-term scalability in mind.
Indeed, studies show that jitter coding can lead to increased complexity and subsequent rework or, at worst, poor quality of “work”. The time saved now will create inefficiencies in the future.
This is especially true when developers distribute AI-generated code without review. However, as AI significantly increases production volume at high speed, manual review of this amount of code becomes a daunting, if not impossible, task.
Without human control, errors go unnoticed and hackers can exploit errors in lines of code. For example, attackers can exploit a typo in a package name to include crafted libraries. If left undetected, the user unknowingly injects malicious code into the company’s system.
Because dependencies are often handled automatically in the Vibe coding environment, an organization’s attack surface increases dramatically. A survey by OutSystems shows that 62% of IT professionals using AI in the development process face increasing security and management challenges.
Because AI-generated code can introduce bugs and new security issues, Vibe encryption requires developers to be stricter than ever. These risks not only compromise the quality of the product; They are redefining what it means to be a developer.
The changing role of the developer
The more automated code generation becomes, the more quality assurance becomes a fundamental responsibility of the developer. Roles in software development are evolving as operational implementation is left to AI and developers spend more time on quality assurance and general structuring.
This requires a nuanced understanding of how to work and advance generative AI, as well as an awareness of its limitations. If vibration coding is the chosen approach, developers should not blindly rely on AI, but rather retain human authority to strategically exploit its strengths and compensate for its weaknesses.
The skills required of a software developer will also change with Vibe coding. Take the AI message as an example. It is important that the developer knows how to design his input to produce stable and repeatable results.
It is also important to consider the developer’s ethical responsibilities when acting on behalf of AI. Who cares about the consequences if AI-generated code violates the license terms? Or does it infringe on intellectual property rights if it is created from publicly available source code?
Furthermore, the boundaries between roles in software development are blurring, with developers taking on more and more tasks that were previously the responsibility of their own products.
By moving from execution to monitoring, the developer becomes the AI strategist, ensuring that the AI-generated code remains as ethical and secure as if it were designed by humans.
Low code solution
Undoubtedly, vibration coding allows creative freedom and faster results; However, this value can only be realized in the long term if it is supported by clear quality standards, technical expertise and awareness of the limitations of generative artificial intelligence systems.
Low-code platforms are the perfect addition because they create structured environments for the safe integration of vibration coding. Low-code platforms ensure that control, scalability and long-term maintainability are prioritized in the design phase. Therefore, vibration coding can provide creative freedom within these parameters.
Companies that choose this hybrid approach can realize the full potential of vibration coding without losing control. The clearly defined processes of an AI-powered low-code platform provide the necessary barriers to vibration coding to ensure long-term reliability.
Vibe coding in its current version is not the future of software development. The next era of development combines AI-powered agility with the structural foundation that businesses need. Developers are evolving from routine programmers to AI enablers, and humans and machines are working side by side to confidently innovate at scale.