More work location flexibility is certainly something I would appreciate. The company I work for is hybrid and with the looming economy mess I’ve been putting off job hunting. I would much rather be somewhere with a network should things go sideways.

Noise cancelling headphones and background music helps a ton when I’m in the office. Stupid open office…

White collar professionals who spend their days developing and deploying software or working on compute infrastructure? Sure, some of them have been on Linux for decades. Although many big corpos love Windows and Microsoft products, so at best you’re going to have a foot in both worlds if you work at one of these companies.

Some admin jobs that don’t require bespoke software (ie very little beyond say an office suite) have started making the jump recently to save $$.

Basically every other white professional that needs to work on a computer with industry specific software like people in medical, engineers, business? Odds are they use windows since the software they use for their job is probably only built for Windows and maybe Mac if they’re lucky. Very few employers are going to mass deploy Linux to run applications via Wine. These employers have support contracts for the major software products their employees use and they won’t get support if they’re not running software on its native OS.

Straight up vibe coding is a horrible idea, but I’ll happily take tools to reduce mundane tasks.

The project I’m currently working on leans on Temporal for durable execution. We define the activities and workflows in protobufs and utilize codegen for all the boring boiler plate stuff. The project hasa number of http endpoints that are again defined in protos, along with their inputs and outputs. Again, lots of code gen. Is code gen making me less creative or degrading my skills? I don’t think so. It sure makes the output more consistent and reduces the opportunity for errors.

If I engage gen AI during development, which isn’t very often, my prompts are very targeted and the scope is narrow. However, I’ve found that gen AI is great for writing and modifying tests and with a little prompting you can get pretty solid unit test coverage for a verity of different scenarios. In the case of the software I write at work the creativity is in the actual code and the unit tests are often pretty repetitive (happy path, bad input 1…n, no result, mock an error at this step, etc). Once you know how to do that there’s no reason not to offload it IMO.