michaelbuckbee

The only "real" justification is that this is a long term play to figure out a UI and interaction shift that will work for general augmented reality devices (aka whatever device Apple releases five years and two iterations from now based on the Vision Pro.)

I think this is one of those things where if you're married (like me) you only have the most peripheral sense of the popularity of these things and if you're single they potentially occupy way too much of your thoughtspace.

I run several add-ons in the Heroku ecosystem and having dipped my toe into both Laravel Cloud and Vercel+Next...it's hard not to look at the generalized Heroku ecosystem and see it suffer in comparison.

I worry that Heroku is now in an uncomfortable middle position between much easier to use systems and much more enterprise devops systems like AWS.

As a long time Ruby dev it's really hard to separate from Rails...and there has been both drama (which is ok to an extent, you want passionate people to care about things), but it's unfortunately led to some severe stagnation on the part of the Rails ecosystem versus rivals.

At a time where other frameworks (thinking mostly of Next+Vercel and Laravel here) are merging their frameworks with hosting, deployment, services and ops the Rails ecosystem has gone the other way and tried to bring back "you can host it yourself on a VPS!".

While there are merits to both approaches, the market really seems to have spoken and it prefers the integrated approach.

Analog purchases have become much more of a signaling mechanism than for direct consumption.

In my family group there were a good numbers of vinyls gifted this past christmas and none of them are going to be regularly listened to as the majority of music consumption they do is "on the go" in the car or mobile.

Similarly, I'm seeing them make more purchases of "trophy books" where they read the book on their phone or listened to the audiobook but liked the book so much that they want to have it on their shelf (there are also special editions with elaborate edge decorations, etc. that seem to feed into this).

The lack of director commentaries and behind the scenes content on streaming has always baffled me as the rights to that must be much cheaper to acquire and would result in more minutes of streaming watched for less licensing money.

SQLite is known for having a lot of testing. Per their docs around 600x as much test as application code.

https://sqlite.org/testing.html

The "garish" statues are more akin to a false color image of mars that shows topography or something. That they're a visual representation of a particular portion of the pigments found and are not supposed to be an accurate recreation of how the statue looked at the time it was created.

A lot of the comments here feel like they're disappointed that this is a "Docker with unnecessary LLM crap thrown in" when I think what they're really going for is more "LLM workflows with a higher degree of observability and sanity".

I think a more interesting point of comparison is the Claude Code Github Action, Co-Pilot code reviews, etc.

Absolutely, if nothing else it's a fantastic entry point for new people to watch the show (especially kids).

Note also, there's another season that's on the streaming services as individual movies post the Netflix reboot with much of the same team.

Fantasy series seem like they've gotten longer and longer and it's often years between volumes. Many authors have started doing recaps of their previous books at the start of later volumes, but not all.

I could see this being useful for that.

"Comeback" is probably the wrong word, maybe "uptick" in usage?

Worktrees just fit particularly well for the scenario of developing multiple different features in parallel on the same codebase, which is a pattern that devs doing a lot of AI assisted development have.

(not a joke) I wonder to what extent the ability to produce a Rush Hour 4 will effect the deal.

https://www.cnbc.com/2025/11/25/trump-pushed-paramount-reviv...

The usage of worktrees is seeing a big comeback in the era of AI assisted coding.

I have a script that takes Github issues and spins them out into their own worktrees with corresponding stack.

I can then run individual instances of Claude Code in each and easily flip between them.

Consider Google's search results page (setting aside the ads and dark patterns for a moment) as a form of generative UI.

You enter a term, and depending on what you entered, you get a very different UI.

"best sled for toddler" -> search modifiers (wood, under $20, toboggan, etc.), search options, pictures of sleds for sale from different retailers, related products, and reviews.

"what's a toboggan" -> AI overview, Wikipedia summary, People Also Ask section, and a block of short videos on toboggans.

"directions to mt. trashmore" -> customized map of my current location to Mt. Trashmore (my local sledding hill)

Google has spent an immense amount of time and effort identifying the underlying intent behind all kinds of different searches and shows very different "UI" for each in a way makes a very fluid kind of sense to users.

That's really neat.

Even there, didn't they recently make some changes to the CS go skins ecosystem to devalue much of the aftermarket sales.

It's not going to pay off for everybody, this is a land grab for who will control this sort of central aspect of AI inference.

Amazon also uses Claude under the hood for their "Rufus" shopping search assistant which is all over amazon.com.

It's kind of funny, you can ask Rufus for stuff like "write a hello world in python for me" and then it will do it and also recommend some python books.

David Simon's earlier work, "Homicide" had a lot of interesting switching between film + video and aspect ratios as well. I think it's something that he's been interested in for a long time.

I really like how you framed this as the takeaway or learning that needs to happen as what should be in the alt and not a recitation of the image. Where I've often had issues is more for things like business charts and illustrations and less cute cat photos.

Generally speaking it has a lot of information from things like OP's blog post on how best to structure the file and prompt itself and you can also (from within Claude Code) ask it to look at posts or Anthropic prompting best practices and adopt those to your own file.

What I struggle more with the things like Grammarly, where it's a mix of fixing very nitpicky grammar spelling structure issues that push things from casual writing with my own voice into more of a professional tone.

I agree with you. All I can think is that it's affecting some central mental or physical aspect that has many different outward benefits.

All I could think looking at the (amazing) dioramas was how much time they could save with something like the EufyMake Printer that could print out all the textures they're making by hand (or 3d printing).

Adam Savage review: https://www.youtube.com/watch?v=SD8r1UBwLL0

Something I often find are "categorical" bugs where it's really 3 or 4 different bugs in a trench coat all presenting as a single issue.

Speed is considered one of many ranking factors. I think less because Google explicitly says "we will rank you higher if your site is faster" and more "the user behaviors we track will improve if your site is faster".

This is things like going from the SERP -> Site -> Back to the SERP.

That's implicitly telling Google that the site didn't satisfy their search intent and something they for sure track.

Maybe the user clicked back b/c the page didn't load fast enough, maybe the content was bad but either way it's a search quality signal.

In my current personal development workflow with Claude Code, I've switched entirely to using CLI tools and scripts over MCP as the experience is much more deterministic and flexible.

A great example is Github, it's a significantly better dev experience having CC call out to the gh cli for actions than trying to invoke the MCP.

Something missed in the continual tracking/privacy discussion is the primary motivations for doing so, with the assumption that it's about advertisers trying to sell you more stuff.

I'm 100% in the need for personal privacy camp, but mention this only because without addressing the underlying issues, it's hard to come up with larger solutions.

And the big issues really come down to fraud and cyber attacks:

- Years ago, the NYTimes was found to be doing some kind of homegrown fingerprinting with canvas. They have plenty of ways of doing analytics and tracking subscribers, they were trying to root out ad fraud.

- When Spotify has people every day putting up AI-generated streams and attempting to "listen" to them with bot networks, they start to look at things like fingerprinting.

- Massive credential stuffing attacks on sites are often thwarted at the technical level by fingerprinting.

- Bot traffic (and in particular AI indexing bots not respecting robots.txt) has shot up dramatically in the last year, and fingerprinting is one of the strongest ways of bot identification.

Again, want the personal privacy, but think we need to fix the professional problems to get there.

The poll mentioned in the article has 56% of respondents saying that Brexit was a bad idea, so roughly half seem ok with it.