Learn Cursor, Greensock and Grep

**Note:** This course is being actively developed and more lessons will be added in the future.

Cursor is an AI-enhnaced code editor that allows you to call upon the robots to refactor or stub out functions for you with natural language. 

In this course, John will show you workflows that will save you time and effort by utilizing the features such as its mult-line editing and context.

In particular, by giving Cursor's AI the proper context, whether that's lines of code or multiple files, you'll get better output when trying to extend or refactor logic that's present.


Bite-size video tutorials for badass web developers.

egghead

Productive Developer Workflows with AI Enhanced Cursor IDE

Ultra high-performance, professional-grade HTML5 animation for the modern web

greensock

The `gsap.set()` tween (or animation container) is a zero-duration tween that instantly applies a property to an HTML element. In addition, there is a subtle but important difference between `opacity` and Greensock's `autoAlpha` properties. You will learn how to hide a menu on page load and also how to prevent the element from flashing on page load. This lesson contains Greensock's basic building blocks that are used to create advanced animations with UI elements.

To add the latest Greensock library to your project, go to [Greensock's website](https://greensock.com/). Fun fact: GSAP stands for Greensock Animation Platform, and their current latest version is GSAP 3!

A common programming convention for Greensock I like to follow is, if you're going to animate a property with Greensock, keep it in Greensock, otherwise, if you are not going to animate a property, keep it in your CSS.

Hide a Menu with GSAP3's set() Tween and autoAlpha Property

GreenSock supports all of the CSS3 3d properties, so you can freely rotate around X, Y, and Z axises with rotationX, rotationY, and rotationZ. Once that's set up, you can tweak the perspective of the element with transformPerspective.

Spin Elements in 3d with GreenSock

By default, elements use their own perspective, so if you rotate multiple elements on the page the perspective will seem a bit off for each of them. The solution is to set the perspective on the container element, then each child element will follow the parents' perspective.

Control the Shared 3d Perspective of Multiple Elements with GreenSock

Sometimes you want to leave an animation looping without any user interaction. This is done using the "repeat" and "yoyo" properties combined to keep the tween moving back and forth from the start properties to the end properties.

Loop a Tween Forever Using Yoyo and Repeat with GreenSock

Modern development requires modern tooling. Rather than adding GreenSock as a script to an HTML page, we're going to install GreenSock using Yarn and set up our development environment using Parcel. This will allow us to quickly iterate and test out our animation ideas. GreenSock is abbreviated as `gsap` when importing.

Setup GreenSock as a Module with Parcel

Animating an element to a click event is as simple as passing the x and y coordinates of the click event to the properties of the `TweenMax.to` call. To be able to center the element where the mouse clicks, you also need to adjust the special xPercent and yPercent properties so the element is properly offset.

Animate and Center an Element to a Click Event with GreenSock

Rotating an element with GreenSock is as simple as changing the `rotation` property using `TweenMax`. But there's also a hugely convenient trick using the `+=` or `-+` syntax as a string that allows you to adjust based on the previous value of the rotation.

Rotate an Element Based on Previous Values with GreenSock

Animations often have multiple steps. GreenSock makes this simple with the concept of a timeline where you code each point you want your element to move to. This lesson will show you how to set up a timeline as well as pause and resume the timeline animation.

Create Animation Steps with GreenSock's Timeline

You often need to pause or resume an animation based on whether or not the current animation running. The `isActive()` getter returns a boolean that provides you with that information (the opposite information can be found with using the `paused()` getter).

Pause or Resume an Animation by Checking isActive with GreenSock

GreenSock also supports the ability to animate `from` a variable point to the current point. If you think `to` starts at a static point and moves to a variable point then `from` essentially does the opposite. `fromTo` supports the scenario where both points are variables and requires passing in a "from" set of properties and a "to" set of properties.

Animate From a Variable Point with from and fromTo in GreenSock

Each animation can be moved to a specific point in time based on the `progress` setting between 0 and 1 (0% and 100%). This lesson shows how to control the progress using the scroll wheel of the mouse which can easily fast-forward or rewind through the timeline.

Manually Control the Animation with progress in GreenSock

Any GreenSock animation can accept an array of dom elements. This lesson shows you how to easily create and tween 100 divs to the same point.

Control an Array of Elements with the Same Animation in GreenSock

There are many reasons you'd want to stop an animation from running. `TweenMax` provides ways to stop a tween of a specific element or every tween currently running, we are going to look at two of them, `killTweensOf` and `killAll`. This lesson walks you through stopping a tween by clicking on a specific element or stopping every tween and forcing them all to complete.

Stop Animations with killTweensOf and killAll in GreenSock

Animations attract the eye and add a higher level of engagement for your users. But they’re not easy to set up, and they don’t always look the way they should on every browser. 

Greensock is the best platform available for creating performant, highly-customizable animations. This course will walk you through the features of Greensock, including how to:

- animate an element
- manually control an animation
- animate between CSS classes

…and more, with cross-browser support to ensure your animations look sharp everywhere.

Create Amazing Animations with GreenSock

“a11y” stands for “accessibility.” It is a numeronym, with 11 representing the count of letters between the letter a and the letter y.

Accessibility is broken down into 4 categories of disability: visual, cognitive, auditory, motor. 

Regardless of the category of disability, accessibilities aim in web development is to make applications and websites usable for everyone.

a11y

In this lesson, we'll apply our `jq` skills and write a script that gets a list of dependencies from package.json and greps for usages of every package. If a package is unused, it's marked for removal. 

Use jq and grep to Find Unused Dependencies in a Project

A Unix command used to search files for the occurrence of a string of characters that matches a specified pattern.

grep

When you have a bunch of text to sift through, standard Unix command line utilities like `grep`, `sed`, `awk`, `cut`, `sort`, and `uniq` can help extract the information you want. For example, with a git log for a project, you might want to group commits by day in order to see which days you're most productive, or find out how many commits you made last year. In this lesson, you'll learn how to combine these commands with the pipe operator to extract this data from git logs.

Analyze Git Logs with the Command Line

GreenSock enables you to animate between classes defined in your stylesheets using the `className` syntax in your tween properties. This lesson walks you through using the `mouseover`/`mouseout` and `mousedown`/`mouseup` events to add and remove css classes based on the specific event.

Animate Between CSS Classes with GreenSock

In this lesson, we’ll use `grep` to find text patterns. We’ll also go over some of the flags that `grep` has that can be combined together to make it more powerful and easier to read.

Search for Text with `grep`

In this lesson, we will look at Greensock's Draggable API. We will implement a scrollable `<div>` container and explore some options available.

Create scrollable DOM elements with Greensock

By grouping your searches with parentheses, you can create even more complex searches. Grouping lets you separate out different parts of your regular expression, and apply special characters like +, ?, and * to groups of search terms.

Search with groups using grep

 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

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.

Search 100s of Issues with GitHub CLI as Context for AI Studio

I often find myself wondering how to use certain APIs in certain situations, and I have a couple of keywords that I try and search up on Google. 

What you can do in this situation is turn to GitHub and see how other people have actually used this code on public projects. The GitHub CLI enables us to run searches like this, and we can take the results and work on them programmatically.

Inside of Cursor with their Composer AI agent, we can search for the files we want, tell the agent to download them, and inspect them for better understanding of how those things work together.

Search All of GitHub's Code and Pass the Results to AI Agents in Cursor

Implement virtual scrolling to handle large datasets in an HTML table. Start with a basic table that renders 10,000 rows of data. The browser can struggle with this amount of DOM nodes to render at one time, especially on low end devices. 

We implement tanstack react virtual to render only the necessary amount of rows the user is viewing. The implementation includes proper column sizing, accessibility considerations, and convenient scroll controls, resulting in a smooth and performant table experience regardless of the dataset size.

Create a row virtualized HTML table with Tanstack Virtual

Learn how to implement virtual scrolling in React tables using TanStack Table and Tanstack Virtual with the useWindowVirtualizer React hook.

The most difficult tasks will require the strongest AI models. And those models simply aren't available as AI agents inside of your tooling. So the best workflows are to drag and drop the files you need to be changed and analyzed inside of a reasoning model such as OpenAI's O1 Pro, then letting it create a giant plan for your dumber AI agents to work on. The key here is that instead of just copying and pasting the entire plan into Cursors Composer or your AI agent, it's to create a file inside of your project and ask your agent to tackle the plan one step at a time. This allows you ample opportunity between each step to test and verify the micro steps along the way. Otherwise, as I've experienced many times, a session can go way off track and you burn a lot of time and burn a lot of AI requests Cursors Composer and it starts churning through a plan Cursors Composer and making lots of unwanted changes. Cursors Composer and it's to guide an AI agent to hold its hand along the way, especially through the most complex tasks. Cursors Composer and the most complex tasks Cursors Composer and the most complex tasks require a step-by-step plan.

Planning AI Agent Sessions with Reasoning Models

AI agents will inevitably make mistakes—it's just a matter of when. A key tool in your toolbox, once they do make mistakes after working on a problem for a while, is to use **git diff** to capture all of the changes they've made. 

Once you have those changes in a text file, you have a portable document that you can test against other AI models. This allows you to move the problem into smarter reasoning models with smaller context windows, helping you isolate and focus on the issue at hand.

**git diff** has been invaluable when working with AI agents because they'll often make many good changes but also slip in one tiny error. Finding that one small mistake is **git diff**’s superpower.

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