Earlier quoted context omitted.
In my experience, AI really lowered the bar for bad code in the name of delivering faster. I have seen people write highly complex code where all the complexity was not necessary. Think: deep unnecessary branching, pointless error handling and retries which make no sense in our context, hand-coded parsing using regexps, haphazard data flow, functions which seem purely computational but slyly make API calls, pointless…
> In my experience, AI really lowered the bar for bad code in the name of delivering faster. I would've believed that 6 months ago, but not now. If you have a good codebase with proper rails, hygiene and architecture, AI will produce better code than most engineers out there. People forget that 90% of the field has always been charlatans barely able to implement a fizz buzz or go much beyond trial and error googling.…
This is what I’m seeing, anyways. Junior engineers are being rewarded for shipping so much code, it’s impossible to evaluate it all, and subtle changes in existing patterns are slipping through. Eventually all those subtle changes transform the rails.