I don't think reducing via attrition is better for the company, for the employees 100%, but attrition would be your people moving to other companies and retirement. It means that you are effectively bleeding your people with options (usually above average) and those with the most experience in favor of "the rest".

Large orchestration package without any tests that relies on a bunch of microservices to work? Claude Code will be as confused as our SDEs.

This in turns lead to broader effort to refactor our antiquated packages in the name of "making it compatible with AI" which actually means compatible with humans.

They seemed genuinely confused when I told them I was not going to fill compliance form and make patching commitments for free. Really makes you wonder how many maintainers are letting themselves be taken advantage of.

The reality is that chat apps nowadays have little moat, blocking the worst offenders for sovereignty's sake it perfectly logical.

In general for those tasks though the question is more "How would a human do it". If it's impossible for a human because your tooling is so bad you can't even get the logs across services for a single ID, that seems like a pretty serious design issue.

In general looking at the prompt though, this is also not very representative. You don't have an SOP that you can share with your agent? How do you expect new hires to onboard?

Is that really a thing though? I feel like arguing for quality is a strong argument, but between walking between small shops at the end of my work day and just doing one supermarket feels more efficient.

Finding stuff within a supermarket is also not hard once you've been once or twice.

Canada was supposed to have a large (historically large) conservative government 3 months before the latest elections, but with Trump in the white house people suddenly want to move away from the right, it's a very interesting effect.

https://www.nytimes.com/2025/05/04/world/canada/global-elect...

It's not impossible that we will see something similar happen across Europe.

The logical next step is to use metal, but that's outside of my hobby tools. I found that JLCPCB offered sheet metal fabrication but I had no experience with sheet metal designs. I went to ChatGPT and was actually really impressed by how well it was able to guide me from design to final model file. I received the adapters last week and was really impressed by how nice they turned out.

All of that to say, AI-assisted design is actually lowering the bar of entry for a whole lot of problems and I am quite happy about it.

Modeling software in general greatly reduced the ability of engineers to compute 3rd, 4th and 5th order derivatives by hand when working on projects and also broke their ability to create technical drawing by hand. Both of those were arguably proof of a master engineer in their field, yet today this would be mostly irrelevant when hiring.

Are they lesser engineers for it? Or was it never really about derivatives and drawings, and all about building bridges, engines, software that works?

They could get us to ban DJI for sure but I'd assume it'd be more through carrot than stick, because at this point we've been pretty consistently beaten for the last year.

Recently needed an 4 adapters in sheet metal for a project, two fabrication shops near me quoted >100$. Got JLCPCB to do them all for 12$ with 20$ of shipping. Got them in less than 2 weeks.