These days, AI can do much more than "Cranking out boilerplate and scaffolding, Automating repetitive routines". That was last year. With the right instructions, Claude Sonnet 4 can easily write over 99% of most business applications. You need to be specific in your instructions, though. Like "implement this table, add these fields, look at this and this implementation for reference, don't forget to do this and consider that." Mention examples or name algorithms and design patterns it should use. And it still doesn't always do what you want on the first attempt, and you need to correct it (which is why I prefer Claude Code over Copilot, makes it easier). But AI can write pretty much all code for a developer who knows what the code should look like. And that's the point: junior developers typically don't know this, so they won't be able to get good results.

Most of the time, the only reason for typing code manually these days is that typing instructions for the LLM is sometimes more work than doing the change yourself.

my dear guy, where is the shovelware https://mikelovesrobots.substack.com/p/wheres-the-shovelware... Where's the Shovelware? Why AI Coding Claims Don't Add Up

> But AI can write pretty much all code for a developer who knows what the code should look like.

> the only reason for typing code manually these days is that typing instructions for the LLM is sometimes more work than doing the change yourself.

So the AI is merely an input device like a keyboard and a slow one at that?

Right, and where, if I may ask, are all those business applications that write themselves? Because all I see is a clown party, massive wasted resources and disruption to society because of your lies.