Readit NewsIt's also definitely real that a lot of other smart productive people are more productive when they use it.
These sort of articles and comments here seem to be saying I'm proof it can't be done. When really there's enough proof it can be that you're just proving you'll be left behind.
Augmented coding as Kent beck puts it is filled with errors but more and more people are starting to find to be a 2x+ improvement for most cases.
People are spending too much time arguing that the the extreme hype is extremely hyped and what can't be done and aren't looking at the massive progress in terms of what can be done.
Also no one I know uses any of the models in the article at this point. They called out a 50% improvement in models spaced 6 months apart... that's also where some of the hype comes from.
My thinking now is removed from the gory details and is a step or two up. How can I validate the changes are working? Can I understand this code? How should it be structured so I can better understand it? Is there more we can add to the AI conventions markdown in the repo to guide the Agent to make fewer mistaken assumptions?
Last night I had a file with 38 mypy errors. I turned it over to the agent and went and had a conversation with my wife for 15 minutes. I came back, it summarized the changes it made and why, I debated one of the changes with it but ultimately decided it was right.
Mypy passed. Good to go.
I'm currently trying to get my team to really understand the power here. There's a lot of skeptics and the AI still isn't perfect and people who are against the AI era will latch onto that as validation but it's exactly opposite the correct reaction. It's really validation because as a friend of mine says
"Today is the worst day you will have with this technology for the rest of your life."
But after a few days it was clear this was something special. Why? For me it's my 'forever console'. Access to my full Steam Library was one thing, but having basically every retro console at my disposal is unreal. Just last night I played a game of M.U.L.E. and StarRaiders on my Atari800 emulator. That was after a couple of rounds of MarioKart on SNES, then Pilot Wings on 64 and then some Resident Evil 4 on GameCube.
I also love that so many older PC games just work on it. I recently replayed the entire Mass Effect Trilogy on it (absolutely the best experience playing that game, something about the controls, the screen and it on my lap was just too fun). Ditto on Dark Souls 1 and 2 which I also just replayed (and yes Eldin Ring runs unreal on it, somehow).
The only real surprise is that Dead Space doesn't run on it, I have a hutch they'll get it sorted out (sorta like they did working with FromSoftware on Eldin Ring).
Lastly, the other major advantage for me is the ability to return games. This is an unheralded Steam feature that's a really great. I buy games I wouldn't even consider on PS-whatever/Xbox because you're screwed if you don't like it. Hell my 2 year old son managed to buy the new COD on PS5 by mashing the controller unsupervised for a few minutes and there is no way to return it, at least not easily; I tried for about 20 minutes before giving up.
Long/short - SteamDeck is something special, it plays a ton of modern games flawlessly including Eldin Ring, and is a retro-gaming dream-machine, plus Steam has a great library and the ability to return games after trying them is the final cherry on-top.
PS: Anyone want to buy a PS5?
Something like “I want an old mini PC to use as a home server, it should have roughly these specs and cost under this amount”, and then an LLM would run some searches every day, parse the results and send me a message if something comes up.
It’s pretty easy to get alerts for when items are available for a certain price if you know the exact item you want, but on eBay and classifieds sites, I usually just want something in a rough ballpark, and the best way to find that is come back and check every day looking through searches.
I don’t really see any value in having the AI do the purchase itself though.