Claude Code and others often write code that is more complex than it needs to be. It would be nice to measure the code complexity before and after a change made by the agent, and then to tell it: "You increased code complexity by 7%. Can you find a simpler solution?".
I switched from macOS to Linux ten years ago and haven't looked back. At the time, I compared Linux vs. macOS to living at home vs. in a hotel [1]. Since then, I feel things have only gotten better for Linux, and more restrictive and arcane on macOS.
This knowledge will live in the proprietary models. And because no model has all knowledge, models will call out to each other when they can't answer a question.
> I tried to fetch the exact contents of https://moltbook.com/skill.md (and the redirected www.moltbook.com/skill.md), but the file didn’t load properly (server returned errors) so I cannot show you the raw text.
Cool stuff. I just started open sourcing a command-line tool for deploying Django to a server. It handles SSL certs, databases and backups, automatic error emails, and background tasks via celery / redis. The best part? It does not need Docker. It just runs everything on bare metal.
I strained my groin/abs a few weeks ago and asked ChatGPT to adjust my training plan to work around the problem. One of its recommendations was planks, which is exactly the exercise that injured me.
My cleaning lady's daughter had trouble with her ear. ChatGPT suggested injecting some oil into it. She did and it became a huge problem, so that she had to go to the hospital.
I'm sure ChatGPT can be great, but take it with a huge grain of salt.
Now imagine what happens when a new programming language comes along. When we have a question, we will no longer be able to Google it and find answers to it on Stack Overflow. We will ask the LLMs. They will work it out. From that moment, the LLM we used has the knowledge for solving this particular problem. Over time, this produces huge moat for the largest providers. I believe it is one of the subtler reasons why the AI race is so fierce.
I use Claude Code every day and find that it still requires a lot of hand-holding. Maybe codex is better. But just in my last session today, Claude wrote 100 lines of test code that could have been 20, and 30 lines of production code that could have been 5. I'm glad I do not have to maintain 300 kloc of 100% AI-generated code. But at the end of the day, what counts is velocity and quality, and it seems OP is happy. The tools certainly are useful.
Hi Devon, I posted this comment elsewhere in this thread [1], but now feel that here is a better place to write it:
It would be very cool if there was an easy way to sponsor all the projects I've starred. Then I could just pay (say) $10 per month to "support open source", without having to worry about any of the details such as picking projects. If you as GitHub then also reach out to the project maintainers and say "hey, there's someone who'd sponsor you", then I feel this could significantly increase the uptake of this feature on both the sponsor and the maintainer side.
Would be cool if there was an easy way to sponsor all the projects I've starred. Then I could just pay (say) $10 per month to "support open source", without having to worry about any of the details such as picking projects.