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_the_inflatortoday at 3:05 PM1 replyview on HN

"They don’t know what skills they lack. They don’t even know what skills are required because they haven’t put the effort in."

This is it.

Evolving into a developer role was more or less directly proportional to the effort you put in. Before AI I used to ask applicants to the department I oversaw whether they have a GitHub Account with a project to show, and bonus, which they are immensely proud of, no matter what.

You had to grind and hustle, no shortcuts, and no amount of stackoverflow.com copy and paste could save you.

And that leads me to two problems for the disguise of one: effort. This not only means reading and redoing simple exercises to complex projects, but committing to it instead of doom scrolling or TikTok frenzy.

I reserved weekends for certain technical books and was frustrated, that there was so few time and so much book left.

AI gave instant gratification a new dimension. It is horrible until AI gets as good as a perfect project from a prompt or we need to abandon it.

Poor young guys, the joy of tuning out is over either by design or habit.

And make no mistake. I don't blame them. We are all victims and perpetrators at the same time but on a different level.


Replies

machiawelicznytoday at 3:49 PM

> It is horrible until AI gets as good as a perfect project from a prompt or we need to abandon it.

Getting close to it with my recent test of cursor cloud workflow.

I've spent 300M tokens in a day and it achieved what I wanted. Manually would take me a month instead of day so it's not 2x it's 20x faster but project was quite simple rewrite of 20k lines of C++ and there was reference implementation. It also improved on original implementation perf wise.

The problem is with fuzzy ideas for new development and with catching up with comprehension when working on something new - I guess we need better visualization tools for code. Product manager work seems like bottleneck currently and monitoring because coding can move quite fast.