[emptiestplace]

We've had failed projects since long before LLMs. I think there is a tendency for people to gloss over this (3.) regardless, but working with an LLM it tends to become obvious much more quickly, without investing tens/hundreds of person-hours. I know it's not perfect, but I find a lot of the things people complain about would've been a problem either way - especially when people think they are going to go from 'hello world' to SaaS-billionaire in an hour.

I think mastery of the problem domain is still important, and until we have effectively infinite context windows (that work perfectly), you will need to understand how and when to refactor to maximize quality and relevance of data in context.

[dingnuts]

well according to xianshou's profile they work in finance so it makes sense to me that they would gloss over the hard part of programming when describing how AI is going to improve it

[ziddoap]

Working in one domain does not preclude knowledge of others. I work in cybersec but spent my first working decade in construction estimation for institutional builds. I can talk confidently about firewalls or the hospital you want to build.

No need to make assumptions based on a one-line hacker news profile.