I seem to remember using one called AGT (adventure game toolkit) that I'd obtained from some sort of mail away floppy shareware service or something. It's wild to think of how much has changed in the last few decades!
I've used a very similar library (valtio) to achieve this in a number of fairly large projects over the last few years. I believe both state management libraries are written by the same guy, actually
I am very sad to hear this. Greg was my mentor during my first internship at the Arctic Region Supercomputing Center in Fairbanks Alaska back in the very early 2000s.
I would also like to know this. I've only very briefly looked into Claude code and I may just not understand how I'm supposed to be using it.
I currently use cursor with Claude 4 Sonnet (thinking) in agent mode and it is absolutely crushing it.
Last night i had it refactor some Django / react / vite / Postgres code for me to speed up data loading over websocket and it managed to:
- add binary websocket support via a custom hook
- added missing indexes to the model
- clean up the data structure of the payload
- add messagepack and gzip compression
- document everything it did
- add caching
- write tests
- write and use scripts while doing the optimizations to verify that the approaches it was attempting actually sped up the transfer
All entirely unattended. I just walked away for 10 minutes and had a sandwich.
The best part is that the code it wrote is concise, clean, and even stylistically similar to the existing codebase.
If claude code can improve on that I would love to know what I am missing!
My best comparison is that it's like MacBooks/iPhones etc.
Apple builds both the hardware and the software so it feels harmonious and well optimized.
Anthropic build the model and the tool and it just works, although sonnet 4 in cursor is good too but if you've got the 20$ plan often you're crippled on context size (not sure if that's true with sonnet 4 specifically).
I had actually heard about the OpenAI Codex CLI before Claude Code and had the same thought initially, not understanding the appeal.
Give it a shot and maybe you'll change your mind, I just tried because of the hype and the hype was right for once.
We do statistical processing and breakdown of options sweep data, and generate realtime alerts that people can use to copy trade big Wall Street traders. We also have a strategy playground you can use to test different strategies that could be used for a trading bot.
Check out the docs section or any of the YouTube videos.
And yes, I'm pretty proud of our backtesting tool (it's called strategy playground) that lets you set some bot parameters and filters for what alerts you want to trade based on (it has access to all the alerts we've generated historically, as well as symbol and option prices for all tracked options) and then does a full tick by tick simulation run and generates charts
I wonder if there might be a way to exploit this effect to flux-pump a high temperature superconductor. Sort of like how the temperature/magnetic permeability curve of Prussian blue can be used to repeatedly ratchet up the trapped flux.
I've made YBCO superconductors in my garage many times and the solid state synthesis method in the paper is very similar to that used by hobbyists. In fact, it seems to not require the usual careful slow annealing under flowing oxygen.
I wouldn't be at all surprised if even simpler methods are feasible.
For instance, there's a rapid synthesis method for YBCO that uses a small alumina boat, some glass wool, a residential 800w microwave oven, and slightly modified mixture of precursors to allow free oxygen to be liberated in the mixture during heating and trapped in the wool around the sample so you don't need to rig an oxygen concentrator up. IIRC it only takes about 15 minutes to prepare a sample.
This is extremely exciting! I've read hundreds of papers on superconductor manufacture and testing over the years and this has all the hallmarks of legitimacy, at least from my citizen-mad-scientist perspective.
