I work in civil engineering and tinker with computers as a hobby. I found Alexander’s work delightful. It really helped me think about my profession and my hobby and how they tie together.
He also talks about community in a city, so it walks across all scales in the build world.
That really helped me think about ”scale” and what phenomena emerges at different scales. I haven’t seen those thoughts about community when I have read about patterns in SWE.
Patterns mostly revolves around solving specific problem in programming, but I haven’t yet found something that uses the same thoughts on a larger scale explicitly. I believe there are patterns for how to architect multiple softwares, but what’s beyond that scale? Say how to integrate different SWE communities.
I did Nand2Tetris and then I understod why I need to vectorize. You get a view from nand-gate to software and get to see all the interfaces. Its a wonderful course.
This. I managed to run Gemma 4 31B on AMD MI250X for CPT and SFT with Claude. And I have ZERO experience and knowledge of how to train and work with GPU:s. The training didn’t go where I wanted. But I manage to direct the AI to build it. It’s crazy. I am excited and scared.
I have tried that and it works well for me.
I can also recommend using a Visual Studio plugin called Markco that lets you comment a markdown file. It’s resembles words commenting feature. I use it to comment LLM generated markdown.
I have a ML project. I usually set up a team of agents, where I have a leader, archivist, research assistant, researcher, developer and tester. The team generates hypothesis based on papers, test it, and iterate over that. Everything is documented using a lab notebook. It burns tokens but I have found some promising strategies that I am testing.
Nice, I am going to this for Swedish law!
Any suggestions on how one can model parliament voting when a law passes using GitHub? Or all the work that preceded a law, that’s like a feature request or a bug report.
Now with AI I wonder if it’s possible to just let agents build a perfect emulation of the game. It reminds me of fuzzers. You let the agent go loose on the game and it brute forces every possible state. Then recreates the code. It’s very inefficient- but it probably works.
I dunno. I just let Claude build a python script that calls Claude code though subprocess.run().
I recently made a sort of Autoresearch with that approach. The script calls Claude Code to create a hyphotesis, then code based on that, evaluate- rinse and repeat. I am still trying to figure out if I am actually on to something or just burning tokens. Jury is still out.
Has anyone tried to set up a container and let prompt Claude to escape and se what happens? And maybe set some sort of autoresearch thing to help it not get stuck in a loop.
I want this the other way around as a plugin in Chrome. So I can easily spot the bullshit. And I would prefer that it translated LinkedIn to something salty, maybe pirate speak?