We use Azure Devops at my current gig. It works pretty well for our setup. I’ve used GHA before; it definitely didn’t “spark joy”. I wastedspent way too many hours in the “update yaml file, commit, push, wait 5 minutes for it to fail again” spiral of despairfeedback loop.
Nice thing with ADO is its release dashboard – you get a really nice summary of recent builds and where they went:
$project - dev - test - prod
I didn’t see anything similar for GHA.
Are you a programmer?
Hudson? Man, that’s a blast from the past.
Yeah, it’s fairly clever but not actually magical. Sometimes you have to go in and take a look.
Actually, the real magic is that it works out mostly ok most of the time. Much better than older systems where you would have to “check out” a file to work on it which would lock others out. I’ve heard older programmers talk about needing to go find someone who had a file checked out and have them check it back in to enable them to do some work.
Roughly equal parts “git is clever” and “once in a while, someone has to take some time to figure it out”.
Say the code is split into two files. You and I both make changes, but you’re working on file A and I’m in file B. No problem!
Now we both make changes in file A. Sometimes Git can just “figure it out”, like if all your changes are in the beginning of the file, and all my changes are at the end.
But sometimes we both change the same section. Git can’t figure that part out, so one of us has to sit down and reconcile the changes. Sometimes this is pretty simple, other times…not so much.
Put it all together, and it works out pretty well most of the time.
Privacy may be dead as you suggest, but that doesn’t compel me to dance on its grave.
Eh, I don’t think it’s an outright scam, rather “just” a bad investment / overhype. The language model programs do have some real uses, after all.
I fail to see how AI can replace any given entry-level SE
You don’t “get it”?
AI is making senior software engineers more productive so they don’t need to hire more devs
Yes, I think you do.
I largely look at this as leadership using AI hype as an excuse to cut staff regardless of actual productivity. The house of cards hasn’t come down quite yet.
It doesn’t have to be a good implementation, it only has to be good enough for a demo to get the C-suite saying “Oh, slap a chatbot on there and then fire half the department that handles this now”.
AI isn’t destroying any jobs. Greedy “leaders” in the C-suite are cutting jobs using AI as an excuse.
It’s a sick joke at our expense.
Joke’s on them, my phone only cost $300
People at my office have a bot attend meetings. AFAIK it does speech recognition and generates notes from the meeting. Sembly maybe? I’d have to look again to be sure.
Seems logical. Glue, gluant, sticky.
I hadn’t expected a dictionary search to come up empty, though.
What is gluant? I couldn’t find it in the dictionary.
The technology isn’t there to accurately assess damage. It’s there to give Hertz an excuse to charge you extra money. It’s working exactly as the ghouls in the C-suite like.
It’s less about technology and more about evading accountability, I’d say. This would be a sort of cyberpunk version of “How dare you accuse the baron’s son of tipping your cows?! He’s a fine upstanding young man, so of course these accusations are groundless.”
It makes me super uneasy. I can easily see this type of model being expanded and applied to more and more things.
Call for a refund because something you ordered never showed up? Wrong trust chain, you’re automatically lying, refund denied.
Report someone for T-boning you? Wrong trust chain, you’re now arrested for hitting them.
Etc…
90ies
I can’t help but “hear” this as “Ninety eez”.
That’s a great idea if it’s possible, but I want to say it wouldn’t have helped with our environment at the time.
I almost wish I could look back at that repo and share the yaml file here, maybe I was missing something back then. I’m certainly more proficient with yaml now.
I do recall wishing there was a way to simulate the execution locally. I think I remember hearing about a local runner, but it had too many caveats to help.