I've had very good results with Claude Code using this workflow.
17 karma · joined August 16, 2012
I've had very good results with Claude Code using this workflow.
Having built systems that process billions of events and displayed results, triggered notifications, etc in real time (not RTOS level, I'm talking 1 or 2 seconds of latency) you absolutely need to separate reads and writes. And if you can trust db replication to be fast and reliable, you can indeed skip distributed locks and stay on the right side of the CAP theorem.
Event sourcing is how every write ahead log works. Which powers basically every db.
Is the concern on this thread that they preoptimized? I thought they walked through their decision making process pretty clearly.
Good luck out there!
- Jit optimizations - Less error checking code paths leading to smaller footprints - Smaller footprints leading to smaller vulnerability surface area - less useful: refactorability
Don't get me wrong, I love the flexibility of JavaScript. But you shouldn't rely on it to handle your poorly written code.
In a world where the average work is the first to be displaced (due to training data availability), the last to be replaced are the ones furthest from distribution mean...
As someone who loves svelte and whose been writing a fairly large svelte app but has been jealous of the react ecosystem, I'd love to hear your rationale.
Just wanted to say I think this is awesome and I love what you're doing here! :D
And to the author, I'd love to chat - drop me a line at cory@rollbar.com
(Ps. I'm one of the founders :)
I personally love this style even though it makes you write more boiler-plate code, it forces you to write exception-safe code from the start. Also, it forces a structure on all of your code that you can instantly recognize as missing if someone forgets to check for err in the callback.
If you can stick with the style, it's fairly difficult to write code that doesn't deal with errors gracefully.