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This was an impressive load of bullshit. I wonder if they asked ChatGPT to generate it.

Tbh, for a while GitHub didn't seem to be any more nor less reliable than prior to MS acquiring it.

But in the past year or so, it does feel like outages are becoming commonplace.


Both are companies are repulsive. There's something comparable here.

> But documentation is not the same as field experience. Automation is not the same as judgment. Without people who have actually worked with the system, you end up with a loss of tacit knowledge—and eventually, declining productivity.

This tracks the experience throughout my carreer, in all sorts of companies. From established body-shop consulting, to minor early-stage startup, to FAANG, and everything in between.

Essentially everywhere I worked, you would benefit to switch jobs. Companies would at times do quite an effort to hire you, but wouldn't try anything to keep you around.

This always sounded bonkers to me, but as I directly benefited with a rapidly increasing salary when I job-hopped, my response was a vague shrug. "Those who care don't know and those who know don't care".

The thing is, in every place, you typically is at your least useful when you just joined. It takes months, sometimes years, to learn the intricacies of the business, the knowledge that informs your skills so you can make better decisions, better designs, better implementation, better initiatives.

This is, of course, just one facet of a larger trend of how things are typically mismanaged. The article brushes on it when it talks about how governments in the US and Europe had to scramble to get 50-year old manufacturing going anywhere.

This is why I laugh whenever I hear someone talking about "governments should be administered like a business". Bitch, businesses are typically mismanaged due to terrible incentive loops, institutional blindness and corporate rot. That anything seemingly works is more a result of inertia and conformity than a sign that things are well managed.


I came here looking for that, did not disappoint.

I imagine that AI can be trained on Angine de Poitrine, but it would never really be able to create something like that no matter how many text prompts it was given.


Have my upvote and go away.

I sometimes wonder is there are any security risks with using LLMs from the US.

> Our goal is $10M ARR

> Our AI bill just hit $113k in a single month

I would wait until this is sustainable before bragging, but I think I can't expect much of the crayon eaters that post things on LinkedIn.


Brother, you are falling for marketing speak.

> I can't understand removing Claude Code from $20. I'm interested to see whether this is confirmed or not.

Anthropic bleeds money per user. No matter if it's the $20 or $200 plan, every Claude Code user is unprofitable.

The only way to not bleed money is to eventually move everyone to API pricing. Hiring a personal senior engineer will likely be cheaper.


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