LLMs just can't come up with anything they haven't seen in their training data. Try any obscure language, and they will stumble. So for them to become fluent in a new language, you will need a massive corpus of data. Not only do you need to invent a new language, but you also need to create all the sample code for it.
In fifth grade, my father got me a C64. It came with a basic programming book, in English. I read the pages using the dictionary to translate the instructions into my mother tongue.
I made an 8-bit balloon that floated on the screen. It was magical. It is still after decades.
Claude Code with Opus models has definitely reduced our TTM. It took us some time to build processes around it. It freed our resources to focus on tasks such as crafting better user journeys and marketing plans.
One thing I am not sure about is the debt we are accumulating by allowing AI agents to write and maintain the code. In the short term, it is boosting our speed, but in the long run, we may suffer.
But the product works well, and our users are happy with the experience.
I have been a programmer for three long decades, so I have mixed feelings about this. But some days I see the writing on the wall.