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 😕

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.

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.

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.

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

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.