They used to dominate the consumer market prior to Ryzen so might have something to do with it but I got no evidence lol
They used to dominate the consumer market prior to Ryzen so might have something to do with it but I got no evidence lol
I don’t own Prusas but I migrated from super slicer to prusaslicer and being able to cut models and add locating pegs easily is such a game changer for larger parts
Me after getting those dumbass Canary cameras that cost $200 a piece then they completely wrecked the free tier then started giving them away for free to get more subscribers.
Wyze cams with wz_mini_hacks firmware offline in a VLAN with Frigate and Home assistant from here on out!
Really depends on the make, you can get Mitchell and AllData prior to the subscription model (takes about a TB of space, from 1980s to 2013) to help with diagrams and disassembly and reassembly. Mitchell’s wiring diagrams really are a lifesaver.
Dealer level software/scanner combo you can get from obdii365, I got a Hyundai scanner from them and it worked well but you want to run the software in a VM or isolate it some other way and probably wouldn’t network it.
Vxdiag is pretty solid as well for the dealer software/scanner and you can usually get via Amazon but again I wouldn’t trust the software. I have their ford one and used it with IDS to set the VIN on an electronic power steering rack.
The software itself you can find via Google if it’s all you need but typically the scanner is very specific to the software for the dealership stuff
Be careful depending on the model, some of those run hot. I managed to kill one in under 2 weeks just by copying a large amount of data to it and had to print a fan shroud for it’s replacement to keep the temps at a reasonable level.
I would imagine you could run into an issue like this building off an M1 or newer Mac and deploying to a Linux based env. We’ve run into a bit of an adjustment with our docker image builds where we need to set the buildarch or else it fails to deploy.
Our build times aren’t blazingly fast, typically around 4 minutes for npm/yarn build for frontend apps and loading the data to the image and any other extras like composer installs. Best time saving for us was doing a base image for all the dependency junk that we do a nightly on