That made me think - are there any depictions of Markdown in movies and tv shows? I've seen a fair share of C, Java, HTML, and (in newer works) JavaScript and Python. And Perl in The Social Network.
Agreed. If Tailwind could give you a paid subscription to a service that plugs into your agent and will recommend component compositions, styles, etc. (basically how those web app generators companies work but targeted at experienced devs) they have a chance to survive the transition.
Presumably the MCP could also be aware of the commercial products, which ought to coax the agent to apply those patterns. That'd be more useful than actually have the library.
This isn't novel either. Expo offers an MCP with its paid subscription, for instance. It's helpful. In fact, I wish the tamagui crew would get on that...
One concern is those less experienced engineers might never become experienced if they’re using AI from the start. Not that everyone needs to be good at coding. But I wonder what new grads are like these days. I suspect few people can fight the temptation to make their lives a little easier and skip learning some lessons.
I have this suspicion that the people who say they have 10x productivity gains from AI might largely see improvements from a workflow change which fixes their executive dysfunction. Back in the day I never had any issue just sitting down and coding something out for 4 hours straight. So I don’t think LLMs feel quite as big for me. But I can see the feeling of offloading effort to a computer when you have trouble getting started on a sub-task being a good trick to keep your brain engaged.
I’ve personally seen LLMs be huge time savers on specific bugs, for writing tests, and writing boilerplate code. They’re huge for working in new frameworks that roughly map to one you already know. But for the nitty gritty that ends up being most of the work on a mature product where all of the easy stuff is already done they don’t provide as big of a multiplier.
LLMs as a body double for executive dysfunction is a great insight. I see chronic examples of corporate-sponsored executive dysfunction: striped calendars, constant pings and interruptions, emergency busywork, fire drills. It's likely that LLMs aren't creating productivity as much as they're removing starting inhibition and helping to maintain the thread through context switching. What's presented as a magical tool, which LLMs can be in the areas you mentioned, is also presented as a panacea for situations that simply don't promote good programming hygiene.
I went from "ugh I don't want to write e2e tests" to "well I'll at least have the LLM write some". 50% coverage is way better than 0%! I'm very strict about the runtime code, but let the LLM take the reins on writing tests (of course still reviewing the code).
It's funny how on one side you have people using AI to write worse code than ever, and on the other side people use AI as an extension of their engineering discipline.
All the 'Small' language models and the 'TinyML' scene in general tend to bottom out at a million parameters, hence I though 'micro' is more apt at ~150k params.
I think the Deck's capability to be relevant for years into the future depends entirely on whether PC game developers target it as a platform. Many of the top best selling video games from the past few years struggle on the deck even on low settings (Baldur's Gate 3, Oblivion Remastered are a couple I've tried with rough results). Of course there's still a massive PC backlog and ample lower spec games released each year.
Is anyone here aware of whether developers are using the Deck as a minimum spec and thus their technical constraints?
It's my target spec and the platform I test the most on for my outside of work stuff. The steam deployment app works so well it makes testing on the steam deck just as easy as testing on my dev machine with a gamepad.
At work it depends on the title but we've definitely used it as a test target. Usually in the minspec range
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