Collins Dictionary recently awarded its 2025 Word of the Year.coding has become the latest trend in artificial intelligence.
Many organizations are joining this initiative with varying degrees of success and offering their own atmosphere-based workflows, from atmosphere and marketing to automation.
RVP for UKI in OutSystems.
The word “Vibe” is increasingly being used to describe workplace processes that are based on intuition and put creativity first.
This became possible for developers thanks to the capabilities Artificial Intelligence Tools; With vibe coding, developers are driven by ideas and impulses, and support for language models means that code appears almost randomly.
It's not so much about structured programming as technical complexity fades into the background.
However, what is lost when quality and safety Is control no longer a priority? Additionally, if vibe coding becomes the core of software development, the requirements of developers will fundamentally change. With AI and developers working side by side, the future of coding is poised for profound changes.
Democratizing Software Development
As AI takes on the technical burden, vibration coding opens up new possibilities. software development opportunities for people without deep programming knowledge. Beyond the benefits of speed and AI simplicity that we're all already familiar with, vibe coding democratizes programming by lowering the barrier to entry.
Minimal manual programming means less technical users can simply call up the AI assistant, while more experienced developers can spend their time fine-tuning and experimenting.
Vibe coding means the time-consuming task of writing lines of code is replaced with time to brainstorm, experiment, and prioritize creativity. This way, the developer takes on a more creative role and has the opportunity to lead innovation in the company.
Moreover, with vibe coding, ideas can be implemented faster, so the organization benefits from a faster development process.
Cost of creativity
However, while vibe coding was designed for fast code delivery, it was not designed with long-term security, maintenance, and scalability in mind.
In fact, research shows that vibe coding can lead to increased complexity and repeated work later on, or in the worst case, poor quality “work.” Thus, time saved now leads to inefficiency later.
This is especially true when developers implement AI-generated code without review. However, as AI significantly increases the volume of output, manually reviewing this amount of code becomes difficult or perhaps even impossible.
Without human review, errors go undetected and errors in lines of code can be exploited by hackers. For example, attackers can use a typo in the package name to inject manipulated libraries. Then, if it is not detected, the user unknowingly introduces malicious code into the company's systems.
Because dependencies are often automatically managed in a vibe coding environment, the enterprise's attack surface increases significantly. An OutSystems study found that 62% of IT professionals using AI in their development process face increasing security and governance challenges.
Because AI-generated code can introduce bugs and new security vulnerabilities, Vibe coding requires developers to be more rigorous than ever before. These risks not only threaten product quality; they redefine 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 key developer responsibility. Roles in software development are changing as operational implementation remains with AI and developers spend more time on quality assurance and overall structuring.
This requires a nuanced understanding of how to work with and manage generative AI, as well as awareness of its limitations. If the Vibe coding approach is chosen, developers should not blindly rely on AI, but should retain their human authority to strategically leverage its strengths and compensate for its weaknesses.
The skills required by a software developer will also change due to Vibe coding. Let's take AI suggestions as an example; It becomes imperative that the designer knows how to shape his inputs in such a way as to produce stable and repeatable results.
It is also important to consider the ethical responsibilities that fall on the developer acting on behalf of the AI. Who deals with the consequences if AI-generated code violates license terms? Or infringes intellectual property if it was trained using publicly available source code?
Moreover, the boundaries between software development roles are blurring, with developers increasingly taking on tasks that were previously the product's remit.
The developer moves from execution to oversight, becoming an AI strategist who ensures that AI-generated code remains as ethical and safe as if it were developed by humans.
Low code solution
Vibe coding certainly gives creative freedom and speeds up work; however, this value is only experienced in the long term if it is backed by clear quality standards, technical expertise, and awareness of the limitations of generative AI systems.
Low-code platforms are an ideal complement as they provide a structured environment for secure vibe coding integration. Low-code platforms ensure that governance, scalability and long-term maintenance are a priority in the design. Vibration coding can then provide creative freedom within these parameters.
Companies that take this hybrid approach can harness the full potential of vibe coding without losing control. The AI-powered low-code platform's clearly defined processes provide the necessary guardrails for vibe 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-driven agility with the structural foundations of enterprise needs. Developers are evolving from routine programmers to AI facilitators, and humans and machines work side by side to confidently innovate at scale.
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