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Entry-level jobs down by a third since launch of ChatGPT

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119 points lsharkey602 | 1 comments | 30 Jun 25 11:38 UTC | HN request time: 0.203s | source
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reedf1 ◴[30 Jun 25 13:47 UTC] No.44423223[source]▶
I think it is possible that the widespread introduction of ChatGPT will cause a brief hiatus on hiring due to the inelasticity of demand. For the sake of argument, imagine that ChatGPT makes your average developer 4x more productive. It will take a while before the expectation becomes that 4x more work is delivered. That 4x more work is scheduled in sprints. That 4x more features are developed. That 4x more projects are sold to clients/users. When the demand eventually catches up (if it exists), the hiring will begin again.
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TSiege ◴[30 Jun 25 14:04 UTC] No.44423440[source]▶
I am not asking this as a gotcha, but a genuine curiosity for you or other people who find AI is helping them in terms of multiples. What is your workflow like? Where do you lean on AI vs not? Is it agentic stuff is tab by cursor?

I find AI helpful but no where near a multiplier in my day to day development experience. Converting a csv to json or vis-versa great, but AI writing code for me has been less helpful. Beyond boiler plate, it introduces subtle bugs that are a pain in the ass to deal with. For complicated things, it struggles and does too much and because I didn't write it I don't know where the bad spots are. And AI code review often gets hung up on nits and misses real mistakes.

So what are you doing and what are the resources you'd recommend?

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1. alyandon ◴[30 Jun 25 14:27 UTC] No.44423749[source]▶
I lean a bit on LLMs now for initial research/prototype work and it is quite a productivity boost vs random searches on the web. I generally do not commit the code they generate because they tend to miss subtle corner cases unless the prompts I give them are extremely detailed which is not super useful to me. If an LLM does produce something of sufficient quality to get committed I clearly mark it as (at least partially) LLM generated and fully reviewed by myself before I mash the commit button and put my name on it.

Basically, I treat LLMs like a fairly competent unpaid intern and extend about the same level of trust to the output they produce.