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Top 10 AI Tools for Teaching Programming (2025)

AI tools have made coding faster and easier than ever before.

They act as smart assistants that do more than just code completion; they understand what you’re trying to build and offer useful suggestions to improve your code, saving significant development time.

This powerful technology is now transforming programming education, giving teachers new ways to help students learn.

AI-powered teaching assistants can generate new practice problems, explain code in simple language, and guide learners step-by-step through coding challenges.

They adjust to each student’s pace and understanding, providing personalized exercises and tracking their progress.

This means you can spend less time on repetitive grading and more time explaining complex concepts and mentoring your students.

However, with so many options available, choosing the right tool can be difficult.

This guide solves that problem by giving you a clear list of the top 10 AI tools for teaching programming, from AI assistants that integrate directly into your coding environment to full platforms that manage the entire learning journey.

We have handpicked these tools specifically for their ability to support educators in creating a more effective learning experience for their students.

Let’s get started.

10 Best AI Tools For Teaching Programming

Here are the top AI tools for programming, including their standout features, best use cases, and pricing.

Cursor

Cursor

Cursor is an AI-powered code editor that helps you write, understand, and debug code.

It’s an excellent tool for both professional development and teaching programming, as it functions like an intelligent assistant that can explain its actions.

It is based on Visual Studio Code, so it will feel familiar if you’ve used that environment.

For teaching, you can task it with demonstrating concepts, generating exercises, or explaining code blocks using powerful LLM models like OpenAI, Gemini, and Claude.

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Snappify

Snappify

Do you want to help your students better understand technical concepts?

Creating teaching materials that highlight the most important parts of a code example can be time-consuming.

Snappify makes it easy for developers and educators to create visually engaging presentations and infographics to present code in a way that is engaging and easy for students to follow.

It provides first-class support for code snippets within a powerful design editor, helping you to create technical presentations, educational content, and social media graphics in a beautifully formatted way.

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Eraser

Eraser

Teaching programming involves explaining complex concepts, logic flows, and system architectures.

Eraser is an AI-powered diagramming and documentation tool that helps you create and maintain technical designs. It is a great tool for visualizing system architecture and documenting code-based projects.

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Replit

Replit

Replit is an AI-powered IDE that allows you to write, run, and deploy code without any setup.

It provides a cloud-based coding environment accessible from any device with a web browser, allowing students and educators to save time and start coding right away, without installing or configuring complex development environments.

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GitHub Copilot

GitHub Copilot

GitHub Copilot is an AI coding assistant that acts as a pair programmer, helping you write code faster.

It integrates directly into your IDE and provides code suggestions and answers to questions as you work, making it a powerful tool for creating dynamic learning experiences and for illustrating coding concepts in real time.

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Gradescope

Gradescope

Manually checking code quality and providing feedback for each student can take hours.

Gradescope is an online assessment platform that makes grading coding assignments easier. It combines AI-assisted grading tools with dynamic rubrics to help teachers grade more quickly and consistently.

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Pricing: Available on request.

Khanmigo

Khanmigo is an AI-powered tutor and teaching assistant developed by the Khan Academy. It is specifically designed for educational use and helps students develop problem-solving skills and a deeper understanding of coding concepts.

You can use it to quickly generate lesson plans, create practice exercises, and even differentiate materials for students at various skill levels.

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Canva for Education

Canva for Education

With Canva for Education, you can create clear and interactive visuals to explain coding concepts and complex problems.

It offers an AI-powered tool called Canva Code that allows you to generate custom games, interactive maps, and timelines simply by describing what you need. This is a great way to show students how to think logically and plan projects without writing code from scratch.

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Pricing: Free

CodePen

CodePen is an online code editor for front-end web technologies like HTML, CSS, and JavaScript.

It simplifies the learning process by allowing students to write code and see results instantly. The platform is also a social network where users can follow each other, comment on Pens (code projects), and find inspiration.

CodePen doesn’t have built-in AI features, but you can use a tool like Pieces for Developers to automatically save and recall your CodePen snippets, entire projects, and related resources.

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ChatGPT

ChatGPT can be adapted for programming education. It can act as a teaching assistant for educators, addressing challenges such as explaining core concepts, providing timely and personalized feedback to each student, and helping them debug their code.

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Best Use cases:

Pricing: Free for basic use.

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Final Words

This concludes our list of the best AI tools you can use to teach coding and explain technical concepts.

Choosing the right tools can help you create a more efficient and supportive classroom where everyone can focus on truly understanding the software development process.

For further reading, check out best practices for teaching programming effectively.

FAQs:

Which AI tools are best for teaching object-oriented or functional programming?

AI-powered IDEs like Cursor or JetBrains AI Assistant are particularly effective for this. They can analyze multiple files and explain how classes, objects, and functions interact within a full project.

How can I prevent my students from becoming over-reliant on AI coding tools?

You can define clear AI use guidelines, such as allowing it for generating comments, debugging, or explaining concepts, while prohibiting its use for writing core algorithm logic.

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