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mooxie

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mooxie
·3 เดือนที่ผ่านมา·discuss
I think the dynamic pricing algo is on to us - I see $13.99 at Amazon and clicked on a Google Play Books link for $1.99 that then became $13.99 magically, same for Apple Books.
mooxie
·6 เดือนที่ผ่านมา·discuss
Agreed. While I really value HN's commitment to not becoming Reddit, the intersection of politics and tech (and their effects on our lives) is indisputable. If we can't talk about the government's use of technology as a tool of the state without it being considered a 'hot button' topic - especially considering the relevance that politics have always had to 'hackers' - then this is really just a site for discussions about technology fluff.
mooxie
·10 เดือนที่ผ่านมา·discuss
An enormous part of safe driving is maintaining a mental map of the vehicles around you and what your options are if you need to make sudden changes. If you are not able to react to changing conditions without being unsafe, you are driving unsafely already.
mooxie
·10 เดือนที่ผ่านมา·discuss
That's laughable. Any human who couldn't avoid a large, clearly-visible object in the middle of an empty, well-lit road should not be operating a vehicle.

That's not to say that there aren't many drivers who shouldn't be driving, so both can be true at once, but this is certainly not a bar against which to gauge autonomous driving.
mooxie
·10 เดือนที่ผ่านมา·discuss
Agreed. I work for a tiny startup where I wear multiple hats, and one of them is DevOps. I manage our cloud infra with Terraform, and anyone who's scaled cloud infrastructure out of the <10 head count company to a successful 500+ company knows how critical it can be to get a wrangle on the infrastructure early. It's basically now or never.

It used to take me days or even multiple sprints to complete large-scale infrastructure projects, largely because of having to repeatedly reference Terraform cloud provider docs for every step along the way.

Now I use Claude Code daily. I use an .md to describe what I want in as much detail as possible and with whatever idiosyncrasies or caveats I know are important from a career of doing this stuff, and then I go make coffee and come back to 99% working code (sometimes there are syntax errors due to provider / API updates).

I love learning, and I love coding. But I am hired to get things done, and to succeed (both personally and in my role, which is directly tied to our organization's security, compliance, and scalability) I can't spend two weeks on my pet projects for self-edification. I also have to worry about the million things that Claude CAN'T do for me yet, so whatever it can take off of my plate is priceless.

I say the same things to my non-tech friends: don't worry about it 'coming for your job' yet - just consider that your output and perceived worth as an employee could benefit greatly from it. If it comes down to two awesome people but one can produce even 2x the amount of work using AI, the choice is obvious.