That’s how I used to deal with L4, except codex codes much faster (but sometimes in the wrong direction)
1. I like being hands on keyboard and picking up a slice of work I can do by myself with a clean interface that others can use - a ticket taking code monkey.
2. I like being a team lead /architect where my vision can be larger than what I can do in 40 hours a week even if I hate the communication and coordination overhead of dealing with two or three other people
3. I love being able to do large projects by myself including dealing with the customer where the AI can do the grunt work I use to have to depend on ticket taking code monkeys to do.
Moral of the story: if you are a ticket taking “I codez real gud” developer - you are going to be screwed no matter how many b trees you can reverse on the whiteboard
Each and everyone of us is able to write their own story, and come up with their own 'Moral'.
Settling for less (if AI is a productivity booster, which is debatable) doesn't equal being screwed. There is wisdom in reaching your 'enough' point.
By definition, this is the worse AI coding will ever be and it’s pretty good now.
From all the data I have seen, the software industry is poised for a lot more growth in the foreseeable future.
I wonder if we are experiencing a local minima, on a longer upward trend.
Those that do find a job in a few days aren't online to write about it, so based on what is online we are lead to believe that it's all doom and gloom.
We also come out of a silly growth period where anyone who could sort a list and build a button in React would get hired.
My point is not that AI-coding is to be avoided at all costs, it's more about taming the fear-mongering of "you must use AI or will fall behind". I believe it's unfounded - use it as much or as little as you feel the need to.
P.S.: I do think that for juniors it's currently harder and require intentional efforts to land that first job - but that is the case in many other industries. It's not impossible, but it won't come on a silver plate like it did 5-7 years ago.
Anyone who hires can tell you one open req gets hundreds of applicants within 24 hours. LinkedIn easy apply backs that up.
I have two anecdotes from both sides. I applied for 200 jobs for a bog standard “C#/Python/Typescript” enterprise developer who had AWS experience. I heard crickets and every application had hundreds of applicants - LinkedIn shows you.
Did I mention according to my resume (I only went back 10 years) I had 10 years of experience as a developer including 2.5 leading AWS architecture at a startup and 3.5 actually working at AWS (ProServe)?
I had 8 jobs since 1996 and I’ve always been able to throw my resume up in the air and by the time it landed I would have three offers. LinkedIn showed that my application had hardly been viewed and my resume only downloaded twice.
Well everything I said above is true. But it was really just an experiment while I was waiting for my plan A outreach to work - targeting companies in a niche in AWS where at the time I could reasonably one of the industry experts with major open source contributions to a popular official “AWS Solution” and leaning on my network of directors, CTOs etc that I had established over the years.
None of them were looking for “human LLM code monkeys” that are a dime a dozen.
On the other hand, I’m in the hiring loop at my company. Last year we had over 6000 applicants and a 4% offer rate.
Who is going to absorb or need a bunch of mid level ticket takers in the future with AI improving? Or at least enough to absorb all of the ones who are currently being laid off and the ones coming in?
This may be true, but it's not necessarily true, and certainly not by definition. For example, formal verification by deductive methods has improved over the past four decades, and yet, by the most important measures, it's got worse. That's because the size of software it can be used to verify affordably has grown, but significantly slower than the growth in the size of the average software project. I.e. it can be used on a smaller portion of software than it could be used on decades ago.
Perhaps ironically, some people believe that the solution to this problem is AI coding agents that will write correctness proofs, but that is based on the hope that their fate will be different, i.e. that their improvement will outpace the growth in software size.
Indeed, it's possible that AI coding will make some kinds of software so cheap that their value will drop to close to zero, and the primary software creation activity by professionals will shift precisely to those programs that agents can't (yet) write.
The 2000 dot com bust wasn’t because all of the ideas were bad most weren’t. They were too soon and before high speed internet was ubiquitous at home let alone in everyone’s pocket.
Incidentally, back then I was a regular old Windows enterprise developer in Atlanta and there were plenty of jobs available at boring companies.
In 2008 was a general shit show for everone. But for tech, the what we now know as the BigTech companies were hiring like crazy and growing old crazy. Just based on the law of large numbers, they aren’t going to grow over the next decade like they grew over the last decade.
They have proven that they can keep going and keep dominating with less people. AI is already started automating the jobs of mid level ticket takers and it’s only going go get worse. Just like factory jobs aren’t coming back.