import { unstable_noStore as noStore } from "next/cache"; import Link from "next/link"; import { CreatePost } from "~/app/_components/create-post"; import { getServerAuthSession } from "~/server/auth"; import { api } from "~/trpc/server"; export default async function Home() { noStore(); const hello = await api.post.hello.query({ text: "from tRPC" }); const session = await getServerAuthSession(); return (

Create T3span> App h1>

First Steps →h3>

Just the basics - Everything you need to know to set up your database and authentication. div> Link>

Documentation →h3>

Learn more about Create T3 App, the libraries it uses, and how to deploy it.div> Link> div>

{hello ? hello.greeting : "Loading tRPC query..."}p>

{session && Logged in as {session.user?.email}span>} p> {session ? "Sign out" : "Sign in"} Link> div> div> div> main> ); } async function CrudShowcase() { const session = await getServerAuthSession(); if (!session?.user) return null; const latestPost = await api.post.getLatest.query(); return (

{latestPost ? (

Your most recent post: {latestPost.name}p> ) : (

You have no posts yet.p> )} div> ); }

I thought he was making stuff up - "t3 stack vs t4 stack". But about 2 minutes in, I realized that I'd heard of a few things that he's talking about so I looked it up and they're real!

I think it's possible everything he's saying is true, more or less. LOL

t3: https://create.t3.gg

t4: https://t4stack.com

We start with a project that was bootstrapped with create-t3-app. For internationalization we use next-intl and set it up as described in the getting started guide. With this initial project setup we can jump into implementing localized error messages.

I used create-t3-app to scaffold the Next.js app, with TypeScript, Prisma, and "app router" enabled in the options. You can also use create-next-app for the job and install Prisma manually.

I agree that the quantity of publicly available code isn't the most reliable indicator of someone's seniority.

My issue with this individual arises from the discrepancy between his public claims of significant expertise in the content he produces. He positions himself as a highly experienced developer, attracting a large following of junior developers who take his advice at face value.

I am trying to collect data points supporting his claims of seniority. For instance, his website prominently features a statement that he is the creator of the T3 Stack. However, a review of the contributor statistics for the T3 Stack (https://github.com/t3-oss/create-t3-app/graphs/contributors)... minimal contributions from him, which raises questions about the validity of his claims.

I would recommend - https://create.t3.gg/

It uses the following, which as of late are pretty well know and common, so you can punch in your problems to stackoverflow, google, or chatgpt and get some pretty good answers.

It uses:

Nextjs (React), typescript, trpc (typescript rpc), auth, tailwind, and Prisma (ORM)

Though of course these could go out of fashion tomorrow, but I don't think the essential idea behind these libs and frameworks are that wacky, unique or unordinary.

Prisma ORM, is a little opinionated, and you could swap it out for Drizzle, which is basically typescript side sugared SQL.

TRPC might be also be a little sticky because it is tied to typescript, this is the tradeoff for the buttery smooth coupling for the fullstack experience. I think there exists a typed-rest solution out there, but haven't used it.

Personal anecdata, I used this stack for a little hobby project and it was FUN.

Open SaaS was built with Typescript, and because it’s a full-stack app, type safety from the back-end to the front-end can be a real lifesaver. I mean, some opinionated stacks have gotten hugely popular on this basis.

Let's start by creating a Next.js application. We will use the T3 stack (TypeScript, TailwindCSS, and Prisma ORM) for this tutorial to skip installing and configuring all the dependencies which is out of the scope of this article. You can find more information about the T3 stack.

https://github.com/t3-oss/create-t3-app

You still would need to add Stripe but there are so many examples publicly available that it should be straight forward

[Zod Documentation](https://zod.dev/) [Zod Error Handling](https://zod.dev/ERROR_HANDLING?id=error-handling-in-zod) [React-Hook-Form Documentation](https://react-hook-form.com/get-started) [Hookform Resolvers](https://www.npmjs.com/package/@hookform/resolvers)

This is a very fair comment, and you seem open to understanding why types are useful.

"problems that are due to typing" is a very difficult thing to unpack because types can mean _so_ many things.

Static types are absolutely useless (and, really, a net negative) if you're not using them well.

Types don't help if you don't spend the time modeling with the type system. You can use the type system to your advantage to prevent invalid states from being represented _at all_.

As an example, consider a music player that keeps track of the current song and the current position in the song.

If you model this naively you might do something like: https://gist.github.com/shepherdjerred/d0f57c99bfd69cf9eada4...

In the example above you _are_ using types. It might not be obvious that some of these issues can be solved with stronger types, that is, you might say that "You rarely see problems that are due to typing".

Here's an example where the type system can give you a lot more safety: https://gist.github.com/shepherdjerred/0976bc9d86f0a19a75757...

You'll notice that this kind of safety is pretty limited. If you're going to write a music app, you'll probably need API calls, local storage, URL routes, etc.

TypeScript's typechecking ends at the "boundaries" of the type system, e.g. it cannot automatically typecheck your fetch or localStorage calls return the correct types. If you're casting, you're bypassing the type systems and making it worthless. Runtime type checking libraries like Zod [0] can take care of this for you and are able to typecheck at the boundaries of your app so that the type system can work _extremely_ well.

[0]: https://zod.dev/ note: I mentioned Zod because I like it. There are _many_ similar libraries.

Zod is an open-source schema declaration and validation library that emphasizes TypeScript. It can refer to any data type, from simple to complex. Zod eliminates duplicative type declarations by inferring static TypeScript types and allows easy composition of complex data structures from simpler ones. It has no dependencies, is compatible with Node.js and modern browsers, and has a concise, chainable interface. Zod is lightweight (8kb when zipped), immutable, with methods returning new instances. It encourages parsing over validation and is not limited to TypeScript but works well with JavaScript as well.

Zod is a TypeScript-first schema declaration and validation library. It helps create schemas for any data type and is very developer-friendly. Zod has the functional approach of "parse, don't validate." It supports coercion in all primitive types.

Link: https://zod.dev/

You can check out their documentation here.

You can learn more about Zod on their website here.

In JS, it's a good idea anyway to use some JSON parsing library instead of JSON.parse.

With Zod, you can use z.bigint() parser. If you take the "parse any JSON" snippet https://zod.dev/?id=json-type and change z.number() to z.bigint(), it should do what you are looking for.

We will validate our input using client-side zod. Zod handles TypeScript-first schema validation with static type inference. This means that it will not only validate your fields, it will also set types on validated fields.