Programming languages like Python, which have remained one of the most used for a long time, had never received a change as shocking as the one made by artificial intelligence.
This technology represents a significant advance in many areas, but one of the most affected is the field of developers. Now you can ask ChatGPT, DeepSeek or Claude to generate code and yes, they make things easier and faster, but you can’t forget something.
Guido van Rossum has shared his perspective on the influence that AI brings to the programming industry and remembers that professionals should not adapt to itbut “the other way around.” Virtual assistants are what they are and you have to be careful with that.
Getting used to this tool that enhances skills in the wrong way could only bring more problems and go against the principles of popular languages and programmers.
Python creator warns that AI in programming is only good if used with control
In an official interview with GitHub, Dutch computer scientist Guido van Rossum, known for creating Python, has been talking about the growth of the aforementioned programming language and the way in which it has adapted to new technologies each year.
One of the reasons why in 2025 it will continue to be one of the most used is because it has a easy implementation with artificial intelligence. At the same time, many developers are starting to create projects together with tools such as GitHub Copilot, Tabnine, Amazon Q Developer or Codeium.
Well, the comments are mainly due to the fact that the platform has revealed the Octoverse data for 2025, an analysis that shows how much languages have grown or declinedas well as the relevance they have had in the last year.
“I was very surprised by that number” is what he said despite noting that TypeScript surpassed Python for the “most used” title. However, he speaks this way because Their language has grown 49% “year after year” and that is an achievement that not everyone has.
These are figures that show that it continues to be essential for AI, science and education projects. But something peculiar has been commented on this technology of the LLM models and the influence they have on professionals.
“I don’t think we should panic and start doing a bunch of things that could make things easier for AI.”
To this he adds that the robust ecosystem with tools like NumPy or PyTorch has been the key to making it relevant in the use of artificial intelligence. Furthermore, this is considered an “avalanche of new software” due to the infrastructure of virtual assistants.
Although it is something that provides many benefits and improves speed, productivity and effectiveness of employees“AI should adapt to us, not the other way around.” The clarification is because many believe that there needs to be “stricter writing.”
The creator believes that as it is is “enough” and that if the models require changes, they should be adapted, not making the developers and languages have to be modified only for their AI use, since this implies that they go out of the way of the project that has been being built for years.