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Google Search used to essentially be this, then they had to tack on finnicky AI systems to handling the parsing of unstructured queries, and that was a cost/time sink that swung the pendulum over to fully AI-native search. This is the pendulum swinging back the other way with a new generation of UX designers. And it'll swing back eventually, too.

I think the presentation may fail to land because, on the surface, it is nearly wholly AI-generated, but also after reading through many of the entries, everything besides the Agent section seems to clearly communicate solid web hygiene and I wouldn't mind sending this to a burgeoning web developer.

It is ironic though that the site itself fails to employ even its own "required" practices, but that's more of an aside.


> Compression (gzip, brotli, zstd): required

> cache-control: required

It's slop all the way man


> Every time someone has any idea it's accompanied by a multi page "Clauded" memo explaining why it's a great idea and what exactly should be done (about 20% of which is useful).

we're in the same boat, and currently trying to fix that 20% problem because it's the biggest hindrance to shipping things quickly

there is a ton of learned ceremony that we have to undue gracefully because it's extremely tempting to vibe code a problem spec as opposed to just... talking to users directly and understanding what the actual problem is


There are still several avenues for this, and I imagine they'll continue to exist even in a mostly-AI-enhanced world. You'll need to dedicate time to finding them.

For example, Battle of the Bits [0] is a community all about chiptune music. I'm sure you _could_ use AI to help you learn and produce some things, but the community is mostly about sharing ideas about what works at the electronic level, so even if AI became super capable, it wouldn't help you engage with the community in any meaningful way. There are several such communities across different domains and I imagine they aren't going anywhere anytime soon, regardless of how much improvement happens w.r.t. AI, since the focus is on "what you learned" and not so much "what you did".

Similarly, I have seen communities focused entirely on Silicon Graphics workstations, or pc-98 internals. Human passion-based communities aren't going anywhere, Google just makes it incredibly hard to find them outside of word-of-mouth.

[0] https://battleofthebits.com


Tower of Babylon

it's brilliant


> writing code was never the bottleneck

This is overly dismissive, there are many things that are possible now that weren't before because writing the code is no longer the bottleneck, like porting parts of the codebase from managed to unmanaged for teams with limited capacity. Writing code is about 1/3rd of the job. Another 1/3rd is analysis, which also benefits from AI allowing people who aren't very good at it to outperform. The final 1/3rd is-

> the effort to carefully design and implement correct solutions to real-world problems.

That's problem-solving - that part doesn't get sped up, and likely never will, reliably.


Given some intelligent system, an AI that perfectly reproduces any sequence that system could produce must encode the patterns that superset that intelligence.


this was a pleasant blog post to read, i enjoyed the jiggling cat


I never advocated for Windows, but I always used it because it "just worked". At a certain point, I realized - as OP had - that I was spending just as much time configuring Windows as I would be spending configuring Linux.

I've moved to Kubuntu and haven't looked back. Proton support is amazing, and Claude Code fixes the doc-diving problem that used to plague Linux. In fact, with Claude, I was able to get such a buttery smooth setup on Kubuntu - Wezterm auto-saving and restorable sessions (even with multiple windows), a working fading background switcher with history, automounting drives and vhdx images on startup - and these are all relatively simple things, but they were near-frictionless to set up and they don't break on a random Tuesday. I love it and would recommend anyone who is on Windows to reconsider.


One thing I had fun doing last year was having Claude parse some gamebook PDFs I got on archive.org, split them out into sections, and build a wrapper for presenting the sections with possible choices and just watching it play through the books by itself. You can do this with some D&D adventures as well, Claude Code has gotten good enough to run ToEE pretty well.


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