I think I set a personal record this weekend. Over two days, I ported several key apps from Windows to Linux, then also completely rebuilt my document processing pipeline for handling the massive corpus of documents we continue to index for our knowledge reference system that powers our numerous AI platforms.
Doing the math in my head, I replaced about EIGHTEEN MONTHS OF TWO FULL-TIME PROGRAMMERS in just one weekend, using nothing but local open source AI.
That's at least $250K of programming value, replicated in just two days for the cost of electricity (plus one-time cost of the GPUs, which admittedly is substantial).
Notably, my open source data center uses deployment recipes published by Mia AI Labs, and I also have several boxes running the new TensorFold inference engine, along with of course a mixture of SGlang and vLLM depending on the model being served.
Everything in production is 100% Linux. Ubuntu is the flavor I use for all production boxes. GPUs are a mixture of AMD and Nvidia. I've been so busy deploying things, I have a brand new Spark box sitting unopened that I need to get into the fleet. More GPUs are coming this week, and I'm readying the workstations to handle them.
Notably, I haven't looked at a single line of code for at least a year. I no longer need to.
The only person I know who surpasses this level of coding productivity is Zach Vorhies, a former Google engineer and whistleblower who is currently re-writing the entire OBS studio software suite in Rust, to make it not suck.
Nobody needs to "learn to code" any longer. Instead, you need to OWN YOUR AI INFRASTRUCTURE so you aren't a slave to the cloud. And then, for the cost of electricity, you can do amazing things without permission.