.jpg)
The emergence of generative artificial intelligence has transformed the way we produce code, but it has also brought with it a dynamic that strongly resembles what we experienced with social media: the cost of generating content has dropped dramatically, while the cost of evaluating, maintaining, and debugging that content has shifted to those downstream in the value chain. In software development, this translates into a notable increase in the volume of code generated by AI for businesses, but also into growing pressure on review and maintenance teams. It is not just that there is more code; it is that this code arrives with a superficial finish that deceives reviewers, hiding a lack of deep thought that previously manifested itself in obvious errors or visible bad practices.
The similarities with the explosion of content on social media are unsettling. Publishing something became almost free more than a decade ago, and the cost of filtering signal from noise fell on users. Now, generating code with AI assistants is equally cheap, and the cost of separating the useful from the disposable is paid by development teams, architects, and, in the long run, the entire organization. A recent study by GitClear analyzed 211 million lines of code between 2020 and 2024 and found that the proportion of copied and pasted code has grown steadily, while refactored and reused code has decreased. In 2024, for the first time, there was more copying than reuse. This is not just an interesting fact: it is evidence that production without immediate cost is shifting attention backward, toward review and maintenance.
Unlike a social media post, which disappears in hours, code generated and merged into a repository remains for years. Every bad decision becomes technical debt that accumulates and must be paid with interest. This is where companies need a strategic approach that combines the power of artificial intelligence with solid quality and governance processes. At Q2BSTUDIO, we understand that AI adoption cannot happen without a framework that ensures software integrity. That is why we offer custom applications that integrate AI modules in a controlled manner, ensuring that each line of code responds to a real need and can be maintained efficiently.
But the solution does not lie solely in development. Cybersecurity, observability, and business intelligence are fundamental pillars to ensure that generated code does not become a risk. Our AI for business services include the implementation of specialized AI agents, capable of automating repetitive tasks without compromising quality. Additionally, we support organizations in adopting AWS and Azure cloud services to scale their applications securely, and in integrating Power BI and other business intelligence service tools so that teams make decisions based on real data about code performance and processes.
The challenge is not to abandon AI, but to learn to manage the cost shift it introduces. The companies that will succeed are those that invest in custom software designed with a long-term vision, with automated reviews supervised by humans, and with a culture that values maintainability as much as immediate productivity. At Q2BSTUDIO, we combine expertise in development, artificial intelligence, and cybersecurity to help our clients navigate this new paradigm without falling into the trap of generating code that only looks good on the surface. Because in the end, what is not maintained, rots.
