See thats the thing. A human is slower but doesnt need all this handholding.
The idea of AI being able to "code" is that it is able to do all this planning and architectural work. It cant. But its sold as though it is. Thats where the bubble is
See thats the thing. A human is slower but doesnt need all this handholding.
The idea of AI being able to "code" is that it is able to do all this planning and architectural work. It cant. But its sold as though it is. Thats where the bubble is
Because when human comes to the team they already have internal repository with skills. They may need to update them on-the-job or create new ones but they never start fresh. LLM in the other hand starts clean, they are literally blank slates and it’s your job to equip them with the right skills and knowledge. As programmers we must transition from being coders to being trainers/managers if we want to still have premium paid jobs in this brave new world
My counter argument is that thay manual training, while beneficial, wont lead to the scaling factors being thrown around. It wont lead to the single person unicorn that keeps being talked about excitedly.
For that, the model needs to learn all this architecture and structure itself from the huge repositories of human knowledge like the internet
Until then, reality will be below expectations, and the bubble will head towards popping
There are no premium paid jobs for prompting in a brave new world.
AI can plan and do architectural work - just not amazingly well. Treat it as an intern or a new grad at best. Though this capability has been increasing pretty rapidly, so who knows where we'll be in a few years.