frog_brawler

Funny enough, the AI shift is really just covering for the over-hiring mistakes in 2021. They can’t admit they fucked up in hiring too many people during Covid, so they’re using AI as the scapegoat. We all know it’s not able to actually replace people yet; but that’s happening anyway.

There won’t be any immediate ramifications, we’ll start to see that in probably 12-18 months or so. It’s just another form of kicking the can down the road.

How are they at debugging? In a silo, they’re shit.

I’ve been using one LLM to debug the other this past week for a personal project, and it can be a bit tedious sometimes, but it eventually does a decent enough job. I’m pretty much vibe coding things that are a bit out of my immediate knowledge and skill set, but I know how they’re supposed to work. For example, I’ve got some python scripts using rekognition to scan photos for porn or other explicit stuff before they get sent to an s3 bucket. After that happens, there’s now a dashboard that’s going to give me results on how many images were scanned and then marked as either acceptable or flagged as inappropriate. After a threshold of too many inappropriate images being sent in, it’ll shadowban them from sending any more dick pics in.

For someone that’s never taken a coding course, I’m relatively happy with the results I’m getting so far. Granted, this may be small potatoes for someone with an actual development background; but as someone that’s been working adjacent to those folks for several years, I’m happy with the output.

I’m not a “software engineer” but a lot of people that don’t work within tech would probably call me one.

I’m in Cloud Engineering, but came from the sys/network admin and ops side of things rather than starting off in dev or anything like that.

Up until about 5 years ago, I really only knew Powershell and a little bit of bash. I’ve gotten up to speed in a lot of things but never officially learned python, js, go or any other real development language that would be useful to me. I’ve spent way more time focusing on getting good with IaC, and probably more of the SRE type stuff.

In my particular situation, LLMs are incredibly useful. It’s fair to say that I use them daily now. I’ve had it convert bash scripts to python for me very quickly. I don’t know python but now that I’m able to look at a python script next to my bash; I’m picking up on stuff a lot faster. I’m using Lambda way more often as a result.

Also, there’s a lot of mundane filling out forms shit that I delegate to an LLM. I don’t want to spend my time filling out a form that I know no one is actually going to read. F it, I’ll have the AI write a report for an AI. It’s dumb as shit, but that’s the world today.

You’re making a great analogy with the 3D printing of a house.

However, if we consider the 3D printed house scenario; that skilled craftsman is now able to do things on his own that he would have needed a team for in the past. Most, if not all, of the less skilled members of that team are not getting any experience within the craft at that point. They’re no longer necessary when one skilled person can now do things on their own.

What happens when the skilled and highly experienced craftsmen that use AI as a supplemental tool (and subsequently earn all the work) eventually retire, and there’s been no juniors or mid-levels for a while? No one is really going to be qualified without having had exposure to the trade for several years.

Glad to see someone that thinks similarly to me. The more goons, the more potential holes!

So just figure out who’s on the security team. They can have their minds changed.

I deleted my Facebook account in 2009. I started an IG account in 2021 that was 100% for comic book stuff. Deleted that one last night.