Comment by simonw
Except if you spend quality time with coding agents you realize that's not actually true.
They're equally useful for novel tasks because they don't work by copying large scale patterns from their training data - the recent models can break down virtually any programming task to a bunch of functions and components and cobble together working code.
If you can clearly define the task, they can work towards a solution with you.
The main benefit of concepts already in the training data is that it lets you slack off on clearly defining the task. At that point it's not the model "cheating", it's you.
Good long lived software is not a bunch of functions and components cobbled together.
You need to see the big picture and visions of the future state in order to ensure what is being built will be able to grow and breathe into that. This requires an engineer. An agent doesn’t think much about the future, they think about right now.
This browser toy built by the agent, it has NO future. Once it has written the code, the story is over.