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Watch us build a *truly* full-stack app in just 9 minutes w/ Wasp & ChatGPT πŸš€Β πŸ€―


There’s a lot of hype around ChatGPT at the moment, and for good reason. It’s amazing. But there’s also some very valid criticism: that it’s simply taking the grunt work out of programming by writing boilerplate for us, which we as developers have to maintain!

Paul Graham's tweet

PG is totally right in his remark above, but what he doesn’t realize is that there are languages out there that attempt to overcome this very problem, and Wasp is one of them.

What makes Wasp unique is that it’s a framework that uses a super simple language to help you build your web app: front-end, server, and deployment. But it’s not a complicated language like Java or Python, it’s more similar to SQL or JSON, so the learning curve is really quick (technically, it’s a Domain Specific Langauge or DSL).

Check it out for yourself:

/* main.wasp */

app todoApp {
  title: "ToDo App",/* visible in tab */

  auth: {/* full-stack auth out-of-the-box */
    userEntity: User,
    externalAuthEntity: SocialLogin,
    methods: {
      usernameAndPassword: {},
      google: {}
    }
  }
}

route RootRoute { path: "/", to: MainPage }
page MainPage {
    /* import your React code */
  component: import Main from "@client/Main.js"
}
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With this simple file above, Wasp will continually compile a truly full-stack web app for you, with a React front-end, and an ExpressJS server. You’re free to then build out the important features yourself with React, NodeJS, Prisma, and react-query.

The great part is, you can probably understand the Wasp syntax without even referencing the docs. Which means AI can probably work with it easily as well. So rather than having AI create a ton of boilerplate for us, we thought β€œcan ChatGPT write Wasp?” If it can, all we need is to have it create that one file, and then the power of Wasp will take care of the rest. No more endless boilerplate!

So that’s exactly what we set to find out in the video above. The results? Well let’s just say they speak for themselves.

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