Learn Netlify, Remix and Scikit-learn

Remix is a full stack web framework that focuses on web standards and the server/client model so that you can develop the features your users want and need without being bogged down in over-abstractions. When you get good with Remix, you actually get good at the foundations of web development.

remix

Mocking authentication comes down to how it's implemented. With Mock Service Worker, you can mock the "Set-Cookie" response header to emulate a user session, but with Remix you don't even have to. Instead, in this lesson we will intercept only the authorization call to a database, leaving Remix to handle sessions, cookies, and auth state for us. 

Use MSW to Mock Authentication in Remix

An all-in-one workflow that combines global deployment, continuous integration, and automatic HTTPS.

netlify

Serverless Function 4

Serverless Function 3

Serverless Function 2

Update fetchReply

Netlify Serverless Function 1

Netlify CLI

Add Netlify env var

Netlify sign-up

Using a GitHub repo to deploy our application to Vercel, keeps our code and live production site in sync. In this lesson we look at using the [GitHub CLI](https://cli.github.com/) tool to create a public repo, and adding it as a remote origin for our project.

Additionally, we create a new Vercel project from this GitHub repo, add our Supabase environment variables, and deploy. Lastly, we update the Homepage URL in our GitHub OAuth app to be our new Vercel URL, and set our Supabase project's [Authentication Site URL](https://app.supabase.com/project/_/auth/url-configuration) to our new live application URL.

## Extension ideas

- Style the app using Tailwind CSS (or another method of choice)
- Implement the ability for a user to `update` and `delete` their own messages
- Add the option to set a username and display this alongside messages
- Add separate message threads/chat rooms
- Implement private messages/chat rooms

## Resources

- [GitHub CLI](https://cli.github.com/)
- [Vercel docs](https://vercel.com/docs)
- [Deploying Remix app to Vercel](https://vercel.com/guides/deploying-remix-with-vercel)

Deploy a Remix Application to Vercel from a GitHub Repository

To mutate data in Remix, we use an Action function. In this lesson, we look at creating a Remix `<Form />` to submit the content of a message as a `post` request to our `Action` function.

Additionally, we use the server-side Supabase client from the Remix Auth Helpers package to make an authenticated request to Supabase, writing the new message to the `messages` table.

Futhermore, we run into an issue with RLS as we have not yet written a policy for the `insert` action. By setting this to the `authenticated` role and ensuring that the `user_id` column is equal to the value returned by the `auth.uid()` function - a function we get from Supabase to retrieve the ID for the user attempting to insert a new row - we ensure that users can not write a message on someone else's behalf.

Lastly, we use the `auth.uid()` function to set the default value of the `user_id` column to the ID of the user attempting to `insert` the new row in the `messages` table.

## Code Snippets

**Write data to Supabase**

```tsx
export const action = async ({ request }: ActionArgs) => {
  const response = new Response();
  const supabase = createServerSupabase({ request, response });

  const { message } = Object.fromEntries(await request.formData());

  await supabase.from("messages").insert({ content: String(message) });

  return json(null, { headers: response.headers });
};
```

**Form to submit to action**

```tsx
<Form method="post">
  <input type="text" name="message" />
  <button type="submit">Send</button>
</Form>
```

**Add policy for insert**

```sql
create policy "users can insert their own messages" on "public"."messages"
as permissive for insert
to authenticated
wuth check (user_id = auth.uid());
```

> SQL code snippets can be run against your Supabase database by heading over to your project's [SQL Editor](https://app.supabase.com/project/_/sql), pasting them into a new query, and clicking `RUN`.

## Resources

- [Supabase docs - insert](https://supabase.com/docs/reference/javascript/insert)
- [Implement Row Level Security in Supabase (video)](https://www.youtube.com/watch?v=Ow_Uzedfohk)
- [Remix docs - Writing data](https://remix.run/docs/en/v1/guides/data-writes)

Securely Mutate Supabase Data with Remix Actions

The OAuth flow is asynchronous. This means we get redirected to the landing page before GitHub and Supabase have decided that you can be trusted! 👍

Since our Loader functions get called when we first load the page they make a request to Supabase before receiving a valid access token. This causes RLS to deny the request to select data.

Once our session has been correctly set, Supabase is happy but we aren't telling Remix to fetch this data again. In this lesson, we look at combining the `onAuthStateChange` hook from Supabase with the `useRevalidator` hook in Remix to recall any active `loaders` when the state of our user changes, keeping data in sync with mutations.

Therefore, any time the user's session is updated - the auth flow has completed for either signing in or out - Remix will automatically call all loader functions that are active on the current route (this could be many with nested routing), fetching fresh data from Supabase with a valid access token.

## Code Snippets

**onAuthStateChange listener**

```tsx
useEffect(() => {
  const {
    data: { subscription },
  } = supabase.auth.onAuthStateChange((event, session) => {
    if (session?.access_token !== serverAccessToken) {
      revalidator.revalidate()
    }
  });

  return () => {
    subscription.unsubscribe();
  };
}, [supabase, serverAccessToken, revalidator]);
```

## Resources

- [Supabase docs - onAuthStateChange](https://supabase.com/docs/reference/javascript/auth-onauthstatechange)
- [Reactor Router docs - useRevalidator](https://reactrouter.com/en/main/hooks/use-revalidator)

Keep Data in Sync with Mutations Using Active Remix Loader Functions

Remix Loaders allow us to fetch data server-side, before rendering a component. This works great if you are implementing your authorization rules for data fetching in the loader function, however, Supabase allows us to use Row Level Security policies to write access policies alongside the data in the database.

By default, `supabase-js` stores session data in `localStorage`, which exists only within the user's browser. If we want this session to be available within Loader or Action functions in Remix, we need to store the session in a cookie. Cookies are automatically sent with every request to the server.

In this lesson, we look at using the Supabase Auth Helpers package for Remix to automate this process, and swap out the storage mechanism for the Supabase client, to use cookies to store session data.

Additionally, we refactor our application to use the new `createServerClient` and `createBrowserClient` functions, making cookies the single source of truth about the user's current session, across the server and client-side of our Remix app.

## Code Snippets

**Install Remix Auth Helpers**

```bash
npm i @supabase/auth-helpers-remix
```

**Create server-side Supabase client**

```tsx
import { createServerClient } from "@supabase/auth-helpers-remix";

import type { Database } from "db_types";

export default ({
  request,
  response,
}: {
  request: Request;
  response: Response;
}) =>
  createServerClient<Database>(
    process.env.SUPABASE_URL!,
    process.env.SUPABASE_ANON_KEY!,
    { request, response }
  );
```

**Create client-side Supabase client (simplified)**

```tsx
import { useState } from "react";
import { createBrowserClient } from "@supabase/auth-helpers-remix";

export const loader = async ({ request }: LoaderArgs) => {
  const env = {
    SUPABASE_URL: process.env.SUPABASE_URL!,
    SUPABASE_ANON_KEY: process.env.SUPABASE_ANON_KEY!,
  };

  return json({ env });
};

const { env, session } = useLoaderData<typeof loader>();

const [supabase] = useState(() =>
  createBrowserClient<Database>(env.SUPABASE_URL, env.SUPABASE_ANON_KEY)
);

return <Outlet context={{ supabase }} />;
```

**Use Supabase in a loader**

```tsx
export const loader = async ({ request }: LoaderArgs) => {
  const response = new Response();
  const supabase = createServerSupabase({ request, response });

  const { data } = await supabase.from("messages").select();

  return json({ data }, { headers: response.headers });
};
```

**Use Supabase in an action**

```tsx
export const action = async ({ request }: ActionArgs) => {
  const response = new Response();
  const supabase = createServerSupabase({ request, response });

  const { data } = await supabase.from("messages").insert({ content: "hello" });

  return json({ data }, { headers: response.headers });
};
```

**Use Supabase in a component**

```tsx
import { useOutletContext } from "@remix-run/react";

import type { SupabaseOutletContext } from "~/root";

export default function Login() {
  const { supabase } = useOutletContext<SupabaseOutletContext>();

  const handleLogin = async () => {
    await supabase.auth.signInWithOAuth({
      provider: "github",
    });
  };

  return <button onClick={handleLogin}>Login</button>;
}
```

## Resources

- [Supabase docs - Remix Auth Helpers](https://supabase.com/docs/guides/auth/auth-helpers/remix)

Make Cookies the User Session Single Source of Truth with Supabase Auth Helpers

The [supabase-js](https://supabase.com/docs/reference/javascript) package allows us to connect to our Supabase project, and easily query and mutate data. In this lesson, we install `supabase-js`, set up environment variables for `SUPABASE_URL` and `SUPABASE_ANON_KEY`, and create a Supabase client to use across our application.

Additionally, we look at writing an RLS policy to enable `read` access to our `messages` table, use our Supabase client to select all messages, and display them in our Remix app on load.

## Code Snippets

**Install supabase-js**

```bash
npm i @supabase/supabase-js
```

**Use a Loader function to fetch data**

```tsx
export const loader = async () => {
  return null;
};
```

**Fetch data with Supabase Client**

```tsx
const { data } = await supabase.from("messages").select();
```

**Full component**

```tsx
import { useLoaderData } from "@remix-run/react";
import supabase from "utils/supabase";

export const loader = async ({}) => {
  const { data } = await supabase.from("messages").select();
  return { data };
};

export default function Index() {
  const { data } = useLoaderData();
  return <pre>{JSON.stringify(data, null, 2)}</pre>;
}
```

**Enable read access with RLS policy**

```sql
create policy "users can read messages" ON "public"."messages"
as permissive for select
to public
using (true);
```

> SQL code snippets can be run against your Supabase database by heading over to your project's [SQL Editor](https://app.supabase.com/project/_/sql), pasting them into a new query, and clicking `RUN`.

## Resources

- [Supabase-js docs](https://supabase.com/docs/reference/javascript)
- [Implement Row Level Security in Supabase (video)](https://www.youtube.com/watch?v=Ow_Uzedfohk)
- [Auto-generated project docs](https://app.supabase.com/project/_/api)

Query Supabase Data with Remix Loaders

[Remix](https://remix.run) is a web application framework built on top of React, that gives you sprinkles of server when you need it - fetching data on page load, mutating values in a db etc. In this lesson, we use the `create-remix` package to setup our new app. Additionally, we run the project is development mode with `npm run dev` and update the content on our `index` route.

## Code Snippets

**Create a Remix app**

```bash
npx create-remix <name-of-project>
```

## Resources

- [Remix docs](https://remix.run/docs/en/v1)

Setting Up a Remix Project

[Supabase](http://supabase.com?utm_source=egghead&utm_campaign=remix) is a collection of open-source tools that wrap around a PostgreSQL database. In this course, we look at building a realtime chat application with Remix, using Supabase for db hosting, authentication, authorization and subscribe to realtime db events - updating the UI as the database changes.

We will learn about:

- loaders and actions in Remix
- querying and mutating data with Supabase
- authentication with GitHub
- authorization with RLS
- merging client and server state with realtime events
- deploying a Remix app to Vercel

This course is 100% TypeScript, however, don't stress if you don't have any experience with TS, as Supabase does most of the heavy lifting here! 🎉

TypeScript is a typed superset of JavaScript that compiles to plain JavaScript.

typescript

Build a Realtime Chat App with Remix and Supabase

In your pnpm monorepo, you can easily create new applications under your apps folder. 

Here, you'll create a new Remix app by running the command `pnpx create-remix@latest`. The app you generate functions just like any other full featured Remix app!

Add a Remix App to a pnpm Workspace Monorepo

Learn Remix by Building a Social Media Platform with TypeScript and Prisma

In lesson 08, [Deploy a Remix Application](https://egghead.io/lessons/egghead-deploy-a-remix-application-with-production-database-to-the-internet-through-vercel), we said that the app was MVP status. This isn’t quite true for many applications. You will inevitably need users on your site to make it useful for your customers (or even for yourself).

To get started adding users, you will update Prisma with a user model and associate it to Posts. From there you’ll update your posts to display user information. You’ll see how to migrate a Prisma schema in PlanetScale as you deploy these changes.

One nice tid bit you will pick up along the way is a TypeScript 4.5 feature, Awaited. Awaited will unwrap a promise type for you so that you don’t have to do it yourself which is a big relief.

Create and Utilize a User Model with Prisma in Remix

Finally, you want to associate users to the posts that they make. To do this you will grab the user data from authenticator.isAuthenticated API to pass to the post creation. This data does not need to be validated because it’s coming from the session storage which has already been validated.

Add User Data to a Post Creation in Remix

Currently the only way to know if you are logged in is if you check the cookie that is set in the browser. This isn’t super user friendly. You want to add a visual cue as well as a log out button to the nav.   To accomplish this, you can check if a user exists with the isAuthenticated function that was created in the auth service. If there is a user you will display their email, loaded up from the isAuthenticated check, as well as a log out button.

The log out button will post to a resource route. This route will log out the user and redirect them to the log in page. 

Finally, you will lock up the index page so only logged in users can see and add posts.

Implement Log out Functionality and Only Allow Logged in Users to See Posts

In this lesson, you'll learn how to enhance the accuracy of components generated by Cursor Composer by aligning your project's package.json with Cursor's rules. We'll guide you through extracting the list of installed packages from your package.json and incorporating them into your .cursorrules file, along with brief descriptions of their functionalities. By providing Cursor with this contextual information, you'll enable it to generate components that are more precise and functional on the first attempt. The lesson includes demonstrations of component generation both with and without these enhancements, highlighting the improvements in accuracy and efficiency.

Boost Cursor Composer Accuracy: Integrating package.json with Cursor Rules

Speed up your bug-fixing process dramatically with Cursors Composer. Take a warning from your logs, search for relevant terms, then seamlessly import both the warning and search results into Composer. Add documentation and apply fixes to all search results in one go. This streamlined workflow resolves multiple issues rapidly, saving valuable development time.

Batch Fix Every File in Search Results with Cursor's Composer

 We map over the initial set of results then use `Promise.all` to efficiently fetch the details of each pokemon rendered in the table. This allows us to add more columns to our pokemon table.

Fetch and display row details with Promise.all in Tanstack Table

map over the initial set of results then use `Promise.all` to efficiently fetch the details of each pokemon rendered in the tanstack table

Create a custom hook to fetch remote data by passing a promise to the React 19 `use` hook. Then render this data in Tanstack Table by memoizing the results and passing them to `useReactTable`.

Render remote data in a Tanstack Table with React 19's use hook and a promise

Create a custom hook using React 19’s use to fetch data with a promise. Render it in a Tanstack Table by memoizing and using useReactTable.

You know when you're deep in the code trenches and need someone to challenge your assumptions? That's exactly what this is about.

Instead of waiting for someone to poke holes in your master plan, you can paste that strategy straight into AI Studio and let it pressure test your ideas. We're talking about using this tool to validate everything from your feature proposals to your ambitious refactoring strategies.

The real magic happens when you hit that microphone button. Now you're in a real-time verbal sparring match. It's like rubber duck debugging but the duck actually pushes back and makes you defend every architectural decision you've made.

Here's the workflow:
1. Drop your master plan into the system instructions
2. Tell the AI to challenge every assumption
3. Hit that mic and defend your choices like you mean it
4. Watch your plan either emerge stronger or get rightfully dismantled

This approach is perfect when you're:
- Stuck in your own head with a complex problem
- Need to validate if your approach holds water
- Want to catch edge cases before they catch you
- Looking for opportunities you might have missed because you're too close to the code

It's like having a senior dev on call 24/7, ready to challenge your ideas and push you to think deeper about your solutions.

Now go forth and get your ideas challenged. Your projects will thank you for it.


An Uncomfortable and Challenging Conversation with AI Studio

In this lesson, you'll learn how to effectively brainstorm your project ideas before working with AI agents. We'll cover:

1. The importance of having a clear plan before starting work with AI agents
2. Using traditional brainstorming techniques to gather your thoughts
3. Leveraging video recording to capture your brainstorming session
4. How to review and analyze websites for inspiration
5. Documenting likes, dislikes, and potential features for your project
6. Using AI tools (like AI Studio) to organize and process your recorded brainstorming session

The lesson emphasizes a modern approach to brainstorming that combines traditional techniques with video recording, making it easier to later process your ideas through AI tools. This method helps ensure that no ideas are lost and that your thoughts can be effectively organized by AI for future reference.

How to Brainstorm Your Project Features to Prepare for AI Agents

fast-check allows us to create composite generators that suit our testing needs. We'll generate two numbers to create a point simulating an X and Y and assert that the distance should always be greater than or equal to 0.

Generate composite objects with fast-check fc.record

Just using fast-check by itself can make you tests verbose and tough to read. Lucky for us there are many integrations with fast-check such as the `@fast-check/jest` package that will help remove some boilerplate from our test.

Tidy up your test with @fast-check/jest

Many people share .cursorrules files, but trying to craft your own from scratch is a huge pain. Instead, this lesson shows you how to grab ALL community-created .cursorrules files to build a custom rule set for your projects. We'll use Gitingest and Google AI Studio to gather these examples and generate an awesome starting point customized to your specific project.

Generate Custom .cursorrules for Your Project Based on Community Examples

The GitHub CLI allows you to search issues and filter on different criteria like amount of comments. This allows you to search for real-world situations and pains/solutions people have using different technology. 

With the GitHub CLI in hand we'll drop 100s of issues as context in Googles AI Studio and have Gemini determine the 10 most frequently asked questions. This will give us a sense of how people use a library and where people get hung up.