What did you use for visualizing at the top, webgl?

yeah i used webgl specifically @react-tree/fiber and drei

I’m making an iOS app [1] that allows you to track and analyze your life. It’s all local to your device and was created to help me learn more about myself and my habits.

[1] https://apps.apple.com/us/app/reflect-track-anything/id64638...

now to decode the blog post’s hidden message

Thank you for writing this up, it was great to see all of the comparisons. Very well put together!

My experience is that it is much more terse and realistic with its feedback, and more thoughtful generally. I trust its positive acknowledgements of my work more than claude, whose praise I have been trained to be extremely skeptical of.

I’m surprised there was no mention of operational CRDT’s, or CRDT’s generally.

Yeah, I glossed over a bunch of the things we tried near the bottom of the "In-Memory Database" section. One of the things was CRDTs.

We did a few days of CRDT investigation along with the other techniques and decided the juice wasn't worth the squeeze when we found a simpler solution to our problem.

That being said, we've actually retained a CRDT-like implementation in our codebase and have been considering moving shapes (which have a slightly different set of tradeoffs) to that model.

There's no need for CRDTs here because there is always a central authority.

The language you use to describe this is fun, I make an app for self tracking called Reflect and would love your opinion of it, even if it doesnt suit your needs exactly.

https://apps.apple.com/us/app/reflect-track-anything/id64638...

o4-mini-high got it on my first try after 9 seconds

Is installing Rust any different?

https://www.rust-lang.org/tools/install

There are other methods, e.g. it’s probably available in all major distros’ package managers right now, as well as in Homebrew on macOS and Choco on Windows.

And curl|bash alone is probably okay-ish? You’re still running the code ultimately, so you either trust it or not. It’s what I use for my own project (with a twist: you get the chance to read the script before you run it): https://lunni.dev/docs/install/

But combined with the “ai_personal_chef” it really tripped me off. What the hell is that even supposed to mean? Do I pipe a code written by LLM directly into my shell? (Probably not, it would be pretty expensive for them to run that.)

Ahhhh, okay! Looks like I’ve got a bad roll of a dice then. (The `uber_for` is actually hilarious :-)

Maybe move the script to something like ash-hq.org/new?project_name={generated}, so that it’s easier to guess what’s going on? Or break it up into steps, like:

    # Install prerequisites (Elixir and `igniter_new`):
    curl -fsSo 'https://ash-hq.org/install?with=phoenix' | sh

    # Create a new app:
    mix igniter.new {{ generated }} --yes-to-deps --yes --install ""
    cd {{ generated }}

    # Install Ash:
    mix igniter.install ...

(This could also let you eliminate that “Already have an app?” button-link – the users can just skip the steps they’ve already done.)

There are some fun Easter Eggs in there for the truly curious :)

That's a great suggestion, the one-liner is cute but isn't quite as readable and explanatory as your multi-line version.

Not to mention, the one-liner doesn't show off the true power of igniter -- composability and additive AST patching codegen.

Thanks!