Yeah FOMO feels like the worst way to learn new tools

Especially when they get easier to use over time

TanStack Start seems like it’d be a good alternative

Love how you constructed all of it with divs and gradients.

You definitely got an eye for shading and lighting, it looks great! I definitely wouldn’t have thought of doing some of these 3D transforms to make it look right

Just got your course for my wife and I – excited to dig into it 😀

Love the hidden synth on your landing page! 🎹

Try better-t-stack! Truly the best way to create a React app

I can only imagine how shitty it must be to be an iOS dev now 😕

Just updated to iOS 26. It’s really weird now how there are two variants of every UI

You get beautiful Liquid Glass in native apps

Then you open an app like Bluesky, and it still looks like iOS18: buttons, keyboards, modals

The fact that there are two system keyboard designs really messes with me

Update to this: having built two apps with it I think TanStack Router + Convex is a beautiful combination

What a simple yet powerful stack. Works great with LLMs and easy for humans to grasp

what’ll it do?

Postgres setup and deployment aside

I just watched the quickstart walkthrough and loved how easy it was to actually use on the client-side

Query and mutate almost like its synchronous state!

Feels worth it to go through the setup for that ease of use

The Postgres setup and deployment of the cache server seem tricky

Also not sure how much this will all cost at the outset or what it takes to scale gracefully

But I think it’s worth it to get going in dev for now.

Rocicorp’s Zero is pretty amazing from what I can see.

It’s in alpha so I was a bit cautious to use it but I’m very tempted now

It would replace 4 layers of my stack:

Prisma ORM
ZenStack (authorization)
tRPC
TanStack Query

And provide realtime multiplayer for free.

On the other hand I really need to rethink the stack I’m using to build my app (that’s authenticated, so I don’t need SEO features).

Maybe TanStack Start?

I’m currently using the T3 Stack with Prisma, ZenStack, Clerk, and Inngest.

Need to figure out how to get it working with all those pieces.

Okay, been a few months since this post.

Ended up going with TinaCMS. Pairs well with Next.js App Router.

I hated working with the App Router when trying to build an app (slowed me down so much), but building a content site with it is such a breeze.

Had so much fun building with this stack.

Sounds like a Facebook Page or Group from the early 2010s

AI will make it so we can organize around purposes more easily, because you don’t need to be an expert to operate these tools when an AI model can assist you.

Maybe this is too idealistic, but I think humans specializing around the ends and not the means leads to more meaningful work.

I don’t think AI will replace jobs. I think it will likely change the way specializations are re-organized

For example, in tech, specializations develop around different tooling expertise (UI designer, React developer)

But humans tend to organize around purposes (marketing, R&D, ops)

Much decision-making is tacit or qualitative. Making our OODA loops more legible is the first step towards observability & steerability. AI systems might help us codify this nebulous process. But how will it be trained to do this, and on what data? We don’t have good primitives or tooling for this.

Yeah I agree with you there: dialogue is important. What I want is dialogue that’s contextualized with the actions I’m taking.

A lot of what we do tacitly imply what we mean. If these tacit decisions and ideas aren’t made explicit, it’s impossible for an agent to really understand you well enough.

Current “AI agents” aren’t like this at all. They do things on your behalf in ways that their developers decided they should do.

An AI agent should instead do things exactly how I would do them.

Do as I do, not as I say.

Like my personal apprentice.

Just like training an apprentice, a true AI agent should amplify your abilities to the limits of how much compute you can buy, so that you can do a lot more with the same amount of time (which is true productivity).

*understand

I don’t really want to prompt an AI system.

Instead I want it to passively watch what I do as I do things, talk to me to understand what I’m thinking as I do them, and progressively learn from me.

Over time, it should understands tacitly what it’s like to make certain decisions, and then do them.

Statistical prediction of the sort that deep learning models do (where past data predict future data well, i.e. ergodic) isn’t quite the same as predicting socioeconomic developments, though.

The latter is non-ergodic.

The other thing is that the nature of said upside is more “downside protection”. You don’t really gain anything. Instead it prevents losses.

And the nature of this prevention almost always probabilistic.

In many ways it’s similar to insurance.

Which is hard for people to grasp.

The issue is that the upside is collective at the population level (which is hard to intuit) and the downside is at the personal level (which is more easy to imagine)

It’s a smaller quantized model (q2_k). The bigger ones don’t work on my computer.

Mostly I just want to see if I can use it for local coding. I have Perplexity Pro for chat, already

Managed to get it to work with @continue.dev (using @lmstudio-ai.bsky.social). Will use it more and see how it goes

Sadly I don’t have a beefy enough computer (which is an M4 Pro MacBook Pro with 24GB RAM) to run Llama-3.3-70b-Instruct.

But I was surprised it was beefy enough to run Qwen2.5-Coder-32B-Instruct at an acceptable speed!

9 tokens per second isn’t as fast as ChatGPT, but usable.

Not familiar with it!

What does it help you do and how have you found it so far?

Oh this is a neat one!

I do a similar thing with my hand drawn notes (on an e-ink tablet) and turn it into text.

I find scribbling notes on a freeform page much more conducive to creative thinking than typing

but text is more easily searchable and readable, so this closes the gap