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Cake day: June 10th, 2023

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  • tias@discuss.tchncs.detoTechnology@lemmy.world*Permanently Deleted*
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    1 day ago

    Kagi has good search results and they are presented well. It also has some useful features like forbidding certain sites and prioritizing others. I like that by paying I’m the customer and not the product. And their “small web” initiative is commendable.

    That said, I’ve been a customer for nine months on an annual subscription, and I will not be renewing. The first reason is that I find them just too expensive for what they do. The second is that, even being that expensive, they’re not breaking even. That undermines my trust in their future as a search engine and makes me less interested in paying a little extra for a good cause.


  • It’s wild that they are not breaking even with these prices. I’ve had an annual subscription since January and made nearly 5000 searches. Extrapolating to a year, I will have been paying about $0.17 per search. If that would go to the electricity bill then it corresponds to about 1 kWh of energy per search, enough to run a 50-watt laptop PC for 20 hours.






  • tias@discuss.tchncs.detoTechnology@lemmy.world*Permanently Deleted*
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    14 days ago

    Only because bugs are defined as errors in implementation details. You can still have errors in your design (sometimes referred to as design bugs).

    It’s not about “entrusting” to AI any more than I would be entrusting important code to a junior developer to just go off and push to production on his own. We still have code review, pair programming etc. As I said, I read the output code, point out issues with it, and in the end make manual adjustments to fit what I want. It’s just a way of building up the bulk of the code more quickly and then you refine it.


  • tias@discuss.tchncs.detoTechnology@lemmy.world*Permanently Deleted*
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    14 days ago

    I’ll confess I only skimmed the article, but it seems like just a bunch of unsubstantiated opinions and I don’t buy it.

    Using AI generated code is like pair programming with a junior programmer. You tell the junior what to do and then you correct their mistakes by telling them how to do better. In my experience, explaining things to someone else makes you better at your craft. Typically this cycle includes me changing the code manually at the end, and then possibly feeding it back to ChatGPT for another cycle of changes.

    Apart from letting me realize and test my ideas quicker, this allows me to raise the abstraction level of my thinking. I can spend more time on architecture and on seeing the bigger picture, and less time being blinded by the nitty gritty details. I would say it makes me both a faster and a better programmer.













  • I can’t imagine how you think it’s incredibly simple. These things are hell to explain to pretty much any normal person who needs to know why there’s no picture on the monitor or why their laptop/phone is not charging, or why the keyboard isn’t working in BIOS (no USB 3 support so you gotta switch to a USB 2 port). Add to that the combinatorial complexity of different cables and hubs supporting different things, and no tools for troubleshooting what feature is missing (and where in the chain) or what is suboptimal.

    Worse, sometimes it’s my boss who thinks they can cheap out and get a USBC dock instead of a proper dock, forcing me to run at non-native lower resolutions or unable to use a second screen.