I can't take that software line seriously. While it's not 'solved' (if it ever could be, given it is a human endeavor), the degree to which software development has been transformed in the last 6-12mo is absolutely astounding. If we weren't so quick to adapt to new realities and find flaws, it would scarcely be believable.
… and on the other hand, it feels like everything I use has become way buggier and unstable in a similar time frame. Websites, apps, iOS, the only exception is offline open source tools which run locally. (And to be fair, many of those have slower development cycles and I am likely using older versions.) This is just my experience, so inherently anecdotal, but it really feels pervasive across a ton of different things.
Obvious bugs and low quality software are nothing new, but something feels new about it. Occam’s razor says LLM coding is a likely culprit, but it could also be management style encouraging this sort of carelessness from the top down.
He also didn't say it would be "solved". He said in 2025 it would be writing almost all the code "in 12 months", but that it would also still need programmers to guide and manage it at that point. People always leave off the end of his quote.
Edit: Boris Cherny, the lead of Claude Code did say on a podcast that programming seemed "largely solved" "for the kind of programming I do" (writing harnesses I presume). Maybe that's what they were confusing it for.
> He also didn't say it would be "solved". He said in 2025 it would be writing almost all the code "in 12 months", but that it would also still need programmers to guide and manage it at that point. People always leave off the end of his quote.
It's crazy to me that people will misquote him then claim AI hasn't complete changed software development. Even just the last 6 months. Like look around! It would literally have been magic 5 years ago!
I think this is the definition of a polarising topic. It's very hard to hold a sensible middle ground without everyone wanting to take it to extremes of either "AI is just useless autocomplete" or "AI has solved software engineering".
Your argument was you've argued your whole career for native. The article argues only very recently the cost equation has changed. Your argument reads like you are not taking into account the broader context or the passage of time.
I'll put it this way, my argument was pro native. And in the context of the article, if a large company had unlimited resources, they would choose native. I'm not discussing the business case for it, but the end result of it being the better option. It can be seen as "Shopify tried Reactive Native and left it behind the second they could after sinking resources into it for 6 years".
Time and progress have overtaken them. At the time they were likely correct but I certainly wouldn’t bother with react native any more when the LLMs have gotten so good
You're making the mistake of comparing a possible future for the present. This is like the most common mistake people in tech make when it comes to education. I've seen it for >15 years and built a whole edtech news organization to try to educate engineers about this kind of fallacy.
The NYC policy is for this school year (now). The link you provide begins with "China aims to build". Not "China is deploying to one of their largest school systems". If its referring to this policy [1], that's a plan for 2035. Apples and oranges.
Tiredness is a signal that the body/brain needs rest so the glymphatic system can go to work. You can lose the signal but still need rest. If your brain doesn't flush metabolic waste periodically you develop brain fog, bad memory, and increased risk of Alzheimer's, and you'll eventually die, as sleep deprivation studies have found.
Are the switching costs of CUDA ecosystem potentially threatened because LLMs are now quite good at transcoding into other languages? In other words, is Nvidia's greatest strength (AI) also potentially its undoing?
They're making the typical journalism mistake of trying to use prose for what would be better expressed in a chart. This is a pretty common issue with journalists who can write but don't know how to create useful and informative charts.
I looked at other posts by this author and they're all sales by month charts, which are totally devoid of context as they lack historic trend data. So you have to read words to find that out, and its a slog.
I have firsthand experience starting a news company and dealing with this...
We'd have to see the data to say wether it was true or bias. Perhaps comparing similar nations where one had Bluetooth contact tracing and the other didn't. I'm skeptical that it made much difference either way compared to the other factors.
The ubiquitous availability of smartphones also limits kids freedom. It creates a very particular style of interaction with peers where quitting means you are left out. That means kids are subject to apps that prey on insecurities, have extremely addictive properties, force feed constant doomerism messaging on them, etc just to stay connected. Another way to look at it is it’s a tax on the joy and freedom of being a kid.
This is a freedom-from / freedom-to distinction. Once you look at kids as a social group rather than as a single individual I think you can come to very different conclusions about what is on balance healthier.
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