The Challenges of Fast Use of AI in the Code
AI technology is constantly evolving and continues to improve its ability to generate HTML code. This seems to be good news for most users who read this message. But there is a specific group of people whose speed can make the problem worse.
Non-technical users, such as developers, marketers and freelancers with little technical experience, need a faster response to be useful. However, the speed of AI can also cause another problem: amplification of errors.
For example, if you use Claude to generate a landing page, it seems to work properly at first glance. But the deployment and implementation process is often ineffective. People tend to wait from one minute to one hour before they can test the page generated by Claude. However, unfortunately, most of the time, this page remains in chat boxes without being usable.
This problem occurs because AI automatically generates a correct HTML code that can be easily deployed. But for non-technological users, the process of improvement and implementation is often more complex. They may not have access to tools such as Netliify or GitHub Pages, as these tools have been designed specifically for technical use.
This problem is not related to artificial intelligence itself or to increased productivity. Rather, it comes from the fact that AI was designed for users with technical skills, not for people who do not know the code or the development.
In addition, there is another crucial aspect of this situation: the impossibility of a process of rapid improvement. Non-technological users tend to generate content quickly with tools like Claude, but are not able to make it work properly over time.
It is important to note that this situation is not due to the effectiveness or productivity of AI itself. This is rather a problem of scale and incorrect use of tools such as deployments, which were designed for technical development.
In short, even if the AI is generating HTML code correctly, this may not be useful for those who cannot quickly modify or implement it.
Source: DEV Community. IA-assisted editorial summary — TechnoExpress.