It's like saying "robots are replacing civil engineers". Asphalt laying is about 10%? of the work required in commissioning a road. The deciding whether to build a road at all, the costs, where to build it, the math all need to be done by a civil engineer.
The bulk of Software Engineering is feasibility study, requirements gathering, detailed design (architecture) then finally the implementation phase where AI comes in.
Those stages are in order of importance. Getting it wrong in especially the first two results in a high quality shiny white elephant at best.
The implementation phase is at most 20% but on average 10% of the work required to commission reliable maintainable software.
I’ve been using Django several years now. It works. Some things could be more straightforward, but once they work, they’re stable. I’ll keep an open mind though.
> Python can be ahead in the performance race. We just need to get real.
Completely agree, and Instagram did it, and they have been reaping the benefits for it. Now they've open-sourced the runtime, so we can all benefit now too.