"Was it faster than doing it solo?
Probably yes, on the order of 3–5× for the work captured in these transcripts, with the speedup concentrated in:
Mass refactor / rename work (10× or more — Claude can rename a function and update 200 call sites in minutes).
Code review breadth (subagent fan-out reads more files per hour than any human can).
Performance analysis writeups (the “table of metrics + paragraph of prose” format is something Claude is genuinely good at and is tedious for humans)."
Jellyfin is so much ahead when it comes to hardware acceleration on different platforms that it is actually sad to see how Plex has not made any improvements in years
So today I found out the cheapest E27 smart bulb that is 1500lm bright and >90cri is actually an Ikea Kajplats Matter over Thread bulb that costs 9.99€
And it has one trick up its sleeve:
▶ If you turn it off and on 12x times it switches to a zigbee mode so I was able to integrate it into my existing HomeAssistant setup even easier
In the past you had to run the benchmark via an x86 translation layer like Fex / Box64 to get the Vulkan GPU benchmark. This was not reliable and led to crashes on some platforms. Thankfully we can run it native now
I stumbled upon the VChance SU13 (here the SU13TO for the touch enabled variant) which advertises 100% P3, 4K resolution and a maximum brightness of 500 nits and this AliExpress find got me intrigued.
In the review I take a deep dive into calibrating this monitor and figuring out if it can keep its promise (spoiler it can but you have to know how).