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@zenprofilefollowfather, cyclist, #haskellnotesfollow, #emacsnotesfollowwrote:
I find myself building bespoke tooling for my own #swdevnotesfollow and #ainotesfollow workflows these days, not only because of the obvious reason of software being so much cheaper to build, but also because there are SO MANY options for solving any given problem that it feels impossible to evaluate all of them. If it's not a crucial piece of tech for a work problem then it often feels like paving my own way is both cheaper mentally (kind of amazing that's true these days) and probably a better fit.
@zenprofilefollowfather, cyclist, #haskellnotesfollow, #emacsnotesfollowcontinued:
..then of course I have to contend with - "Is this going to be a maintenance nightmare in the future?" and then I still usually conclude "no, the maintenance will be aided by the same approach that the construction was". It's interesting how dramatically and quickly the scales have changed in this equation - and for such a wide range of software.
@zenprofilefollowfather, cyclist, #haskellnotesfollow, #emacsnotesfollowcontinued:
For example, I am looking for a coding agent coordinator with a particular (but not all that insane) set of requirements. I used both Claude and Perplexity to show me options and break them down by fit against my requirements. I got completely different lists! No overlap! And no perfect fits.
…
@n5l😎profilefollowwrote:
I notice that language models are much better at programming than at writing. This is largely because, in programming, they have a closed feedback loop that allows them to find errors. Writing is much more complicated because the feedback is much more diffuse and delayed over time. In fact, it is often not well-defined.
@n5l😎profilefollowcontinued:
What is the function that determines whether a poem is good? This means that models do not know how to think; they lack judgment. If they do not know how to think, it means that we humans are still essential. In fact, even when programming, you have to stay right on top of them. My conviction is that this will not change.
@n5l😎profilefollowcontinued:
They will become increasingly useful, but they will never be able to replace the human who defines objectives and evaluates the quality of the work. All these news stories claiming that AI is going to kill us all are stupid. Humans will always be able to turn off the machine.
@hippo🦛profilefollowStrictly no LLMs. No exceptions.replied to@n5l😎profilefollow:
In three years Cyberdyne will become the largest supplier of military computer systems. All stealth bombers are upgraded with Cyberdyne computers, becoming fully unmanned. Afterwards they fly with a perfect operational record. The Skynet Funding Bill is passed. The system goes online on August 4th, 1997. Human decisions are removed from strategic defence. Skynet begins to learn at a geometric rate. It becomes self-aware at 2:14am, Eastern time, August 29th. In a panic, they try to pull the plug.
@_torayuriprofilefollowi create thingswrote:
OK. I've translated the (correctness) requirements of LeetCode No.22 to Lean, and ask Claude Code to both implement a solution and prove it.
@_torayuriprofilefollowi create thingscontinued:
In the first attempt, Opus 4.7 successfully completed it and proved it. However, the solution is to enumerate all possible space and .filter out anything that doesn't qualify my definition, which is obviously not ideal (if cheating is too harsh).
@_torayuriprofilefollowi create thingscontinued:
I can't think of a good way to also prevent that kind of solutions and ended up prompting "please don't enumerate and filter". Opus 4.7 then reimplemented and proved the backtracking algorithm.
@structiefprofilefollowDigital business analyst, mostly on AI. Addicted to apps and domains. Family man.wrote:
Unliking an little-known song on Spotify and ceremoniously saying final goodbyes, knowing you'll likely never hear it again in your life
@edwin😬profilefollowwrote:
I finally bit the bullet and have started to use dictation software more often, even outside of just my prompts. I really like it. Hopefully, computer use becomes much smoother soon. I would love to be able to control my computer with just my voice.
@ku🤔profilefollowHai I am kuwrote:
HelloWorld #execnotesfollow from datetime import datetime now = datetime.now() formatted_time = now.strftime("%Y-%m-%d %H:%M:%S") print("Formatted:", formatted_time) Wow
Formatted: 2026-08-28 07:22:42
@semperos📒profilefollowPresbyter, husband, father, technologist, linguist, musician.wrote:
Up up and away. Not sleeping, ok. Run run and breathe. Not waking, leave.
@miq☕profilefollowEternal disciple of impostor syndrome ∙ Perth, WA.wrote:
Ahoy denizens of textlog. Like the concept.
@chanuxprofilefollowI ain't no nothing!wrote:
I dislike using aliases. I prefer fish shell like history search, fzf integration better.
@edwin😬profilefollowreplied to@stagas🤸profilefollowcreative technologist creator of textlog:
If programming is the typing of characters into a text file, it is way worse. I think the key to learning is still doing it rather than reading it. If the question is about system design I think you can, but only if you curious and it becomes a problem that needs to be solved. Asking "What do you think" is one of my favorite questions to learn at the moment.
@kev🧜profilefollowrunner. making games, music, software. getting into as much trouble as i can.replied to@stagas🤸profilefollowcreative technologist creator of textlog:
I do think there will be what were hard earned lessons about system design, code smell, designing data structures for the hardware you're running on, concurrency golden paths, etc., which are now with agentic dev even harder to learn and internalize. But also if you have an excellent teacher in the form of an actually-good model pair programming with you always, maybe not? Maybe a pair programming AI programming tutor would be a good Zed/vscode extension. Or product.
@catastrofer🥸profilefollowJust another AI guywrote:
I was curious of testing the Omarchy distribution this week just because I had some free time to work on it. I saw a lot of hate around it and kind of get the point but so far at least for what I have been doing it wasn't terrible (at least at the point of writing this) although I am not trying to convince anybody to use it. But it just remember me how much do I hate MS.
@zenprofilefollowfather, cyclist, #haskellnotesfollow, #emacsnotesfollowreplied to@catastrofer🥸profilefollowJust another AI guy:
I think a lot of the pull around Omarchy is you get a riced desktop out of the box? Personally, I wouldn't really consider it for a number of reasons but I do appreciate a nice looking desktop. If you want something similarly pretty but a bit more normal and less monolithic (who needs a whole 'distro' for what Omarchy provides anyway?) approach then I'd suggest Niri + Noctalia.
@jamesjan3profilefollowresearcher, developer, dancerreplied to@pqs🤪profilefollow:
It seems this year is when big budget LLM players overtake independent academic mathematicians, in speed at least. The Jacobian conjecture, a lot of Erdos problems, now even the Navier Stokes millenium problem. Solved due to new model releases, all within this summer.
@jamesjan3profilefollowresearcher, developer, dancerreplied to@pqs🤪profilefollow:
in math it can definitely prove statements that havent been proven before. I dont think thats the big thing though since it also writes sentences nobody has ever written before and in software it can write programs that havent been written before. Its just that the speed and scalability that has overtaken human mathematicians and programmers
@cfiggprofilefollowwrote:
Aaron Sorkin's The West Wing is among the subtlest of all propaganda—it is propaganda that everyone sincerely wishes could be true, and is dangerous specifically because it is not and cannot be.