I love my e-bike. It sounds like you bought an electric dirt-bike. I'm not going to call you an idiot: the market is confusing and not well regulated, manufacturers are taking advantage of this. There have been some improvements with regulation to promote safety (both for you, as the unaware rider and for others). It's possible where you live it's not legal to take your new e-bike on the road without a motorcycle license OR on bike paths. Be safe, double check your local laws. If it's not legal: return it.
Having switched to zigbee devices recently I regret trying to start with WiFi. While I'm not sure how it looks under the hood, adding devices with home assistant was miles easier.
I've helped lots of people with home automation Network build outs l; the biggest factor is the RF environment.
If you're fortunate enough to not be battery constrained at most endpoints and can put a high quality Wi-Fi access point in an optimal location than Wi-Fi is incredibly reliable.
The tooling for inspecting all layers of a Wi-Fi network is infinitely more accessible and mature and that certainly helps; I can't go to My local big box store and get a USB thread dongle for 20 bucks that will just work on a Lennox computer and integrate nicely with Wireshark out of the box...
I have a Unifi home network with two Wifi 7 access points and gigabit ethernet. For home automation, I went with ZWave and do not regret it at all. It's been rock solid and I've never felt the need to get a dongle to debug the traffic. I don't want to be working through all of the WiFi baggage with my home automation devices. I recently introduced some Zigbee bulbs (hue and cheapos from Amazon) and they've been mostly "fine", albeit with lower range.
> For home automation, I went with ZWave and do not regret it at all. It's been rock solid and I've never felt the need to get a dongle to debug the traffic.
That's because zwave requires everything go through certification process. You pay more for this, but things generally just work.
It's an entirely different situation in zigbee land though.
I stick with ESPHome and MQTT because I can inspect and modify the behaviors of everything with free and open tools.
Thread is fairly similar to Zigbee, just standardized and doesn't require brand specific hubs. You can actually control thread devices direct from an iphone with no hub at all.
Wifi for anything but cameras is a mistake, it only exists for maximum compatibility since everyone has wifi already.
Cameras that require internet to connect to are a mistake, but cameras that use Wifi for local link are fine (wifi is perfect for this). And, having some way to connect remotely is a requirement, for most everyone.
I think that is more of a directional antenna approach? I’m more talking about triangulation, we used to be able to do it with cell towers and if you had 3 or more in range we could get pretty accurate location (now that seems to be locked down).
Profiling[1] your own repository and tweaking as necessary (possibly
disabling auto-status refresh) will likely yield significant
performance improvements.
I use magit with a very large repository (100k files, millions of
commits) it's still not lightning fast like it is with smaller
repositories, I'm still finding it an improvement over the CLI.
My config notes this saves me ~13 seconds in git-status
I don't know if this figures into the engineering formulas, but an e-bike needs to be stronger due to the higher speeds and power levels. On a human powered bike, if you're hauling 150 pounds, you're probably going pretty slow.
My friends who have e-bikes go through a lot more "consumable" parts such as chains, tires, brakes, cogs, and bearings.
It's a different kind of fatigue, but it's something a felt I got stronger at over time. Beats waiting IMHO, but be sure to give yourself a chance to rest.
really interested in what the brain does when it "loads" the context for something it's familiar with but is currently unloaded from the working memory. Does it mostly try to align some internal state? or more just load memories into fast access
The next step is running an LLM that tries to figure out parts of the project that you aren't working on so it automatically starts coding that while letting you code in peace other stuff manually.