Popular Lesson

1.2 – Get To Know the Top AI Coding Tools Lesson

Discover the three main types of AI coding tools—AI chatbots, AI app builders, and AI code editors—and learn how to pick the right one for your next project idea. Watch the video for hands-on examples and detailed explanation.

What you'll learn

  • Identify the three primary categories of AI coding tools and their core features

  • Distinguish when to use an AI chatbot, an AI app builder, or an AI code editor

  • Compare the strengths and limitations of each tool category

  • Recognize popular products in each category, like ChatGPT, Replit, Lovable, and Cursor

  • Understand how these tools can support different stages or styles of software building

  • Learn what skills or experience levels are ideal for each tool

Lesson Overview

This lesson introduces the top categories of AI tools for coding: AI chatbots, AI app builders, and AI code editors. For anyone with an idea—whether you want to quickly prototype a solution or develop a full-scale product—it can be challenging to navigate the wide selection of available tools. This lesson breaks down what makes each category unique, so you can select the right tool for your needs.

We’ll discuss popular products in each category: ChatGPT, Claude, and Grok for chatbots; Lovable, Bolt.new, Replit, and v0 for app builders; and Cursor, Windsurf, and VS Code with GitHub Copilot for code editors. You'll learn where each shines, where their limitations are, and how their design targets different types of users—from beginners to those with some coding experience.

Understanding these differences is valuable in real scenarios. If you’re trying to build a quick demo or automate a mundane task, using an AI chatbot might suffice. For those aiming to launch a more robust product or collaborate with other tools, app builders and code editors provide more depth. By the end of the video, you’ll have a clear overview of the tool landscape and be ready to start building with confidence.

Who This Is For

This lesson is designed for anyone interested in using AI tools to build digital products, no matter their experience level. It is especially useful for:

  • Entrepreneurs with product ideas but limited coding background
  • Marketers or business professionals seeking automated solutions or rapid prototyping
  • Educators and students exploring practical uses of AI in programming
  • Startup founders evaluating cost-effective ways to build apps
  • Anyone curious about the differences between leading AI coding platforms
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Where This Fits in a Workflow

Selecting the right AI coding tool is one of the first decisions you’ll make when starting a digital project. This lesson shows how tool choice impacts your entire workflow—from brainstorming to launching your finished product.

For example, if you just need a quick tool for testing ideas or sharing prototypes, an AI chatbot like ChatGPT could be your go-to. If your project requires backend integration, authentication, or scalability, moving up to an AI app builder or code editor is more suitable. This understanding helps you avoid mismatches, like trying to force a complex app through a simple chatbot, or overcomplicating a prototype by jumping straight to professional code editors.

Knowing when and why to use each type of tool will save you time, reduce frustration, and help you bring your ideas to life more smoothly.

Technical & Workflow Benefits

Before AI coding tools, building even simple software meant learning the basics of programming, setting up development environments, and managing files manually. Here, you’ll see how today’s AI tools change this process completely.

AI chatbots let anyone generate code snippets or small apps instantly without installing anything, making early experimentation and communication easy. AI app builders strike a balance: they simplify development for non-coders, allow iteration over multiple sessions, and often streamline deployment or integration with outside services. AI code editors, while having a steeper learning curve, offer flexibility for custom solutions and can scale up with your project’s needs—ideal for growing products and teams.

For a solo entrepreneur building a tool from scratch, these advances mean getting your first version out faster, spending less, and focusing your effort on testing the core idea. For small teams, picking the right tool enhances collaboration and lets you divide tasks based on comfort level or expertise.

Practice Exercise

Apply what you’ve learned by outlining a simple product idea and mapping it to one of the three AI tool categories:

  • Think of an app or tool you’d like to build (for example, a cost estimator or a data formatting utility).
  • Decide which category of AI tool—chatbot, app builder, or code editor—would be the best fit to start building it, and write a sentence explaining your reasoning.
  • List one potential limitation you might face with your chosen tool.

Reflect: Was your first instinct to choose a more advanced tool, or do you see how starting with a simpler solution might work? What would make you switch to a different tool as your idea grows?

Course Context Recap

This lesson builds a foundation by helping you understand the range of AI tools available for coding, setting you up to make smart choices as you start actual development. Previously, you learned why AI coding is an attractive skill for entrepreneurs. Next, you’ll get hands-on by using ChatGPT’s Canvas feature to build your first practical tool. Continue with the course to see these concepts come alive in real projects and develop your own skillset step by step.