GitHub Copilot Prompt for Generating Exercises

GitHub Copilot, the AI-powered coding assistant from GitHub, proves to be a remarkable tool for generating educational exercises suitable for all levels. Whether you are a development trainer, computer science teacher, or educational content creator, Copilot can produce structured, progressive, and immediately usable exercises. By formulating a precise prompt directly in your code editor, you obtain complete statements with context, constraints, hints, and commented solutions. The major advantage lies in Copilot's ability to generate exercises grounded in real code, with correct syntax and relevant test cases. Unlike a generic generator, Copilot understands the context of your project, the language used, and common patterns, resulting in technically coherent exercises. This prompt has been designed to fully exploit these capabilities by guiding Copilot towards structured, progressive educational output directly usable in training or self-study.

The prompt

GitHub Copilot

Generate a series of 5 programming exercises on [TOPIC/CONCEPT] in [LANGUAGE]. For each exercise, provide: a clear title, a difficulty level (easy/medium/hard), a detailed statement with business context, the technical constraints to respect, a starting code skeleton with TODO comments, 3 test cases with inputs and expected outputs, progressive hints (3 levels of help), and the complete solution commented line by line. The exercises must follow a logical progression where each exercise reuses concepts from previous ones. Add an introduction listing the required prerequisites and a conclusion with a mini integrative project that combines all the concepts covered.

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Why it works

This prompt is effective because it imposes a precise pedagogical structure that Copilot faithfully follows thanks to its structured generation capabilities. The demand for logical progression between exercises leverages Copilot's contextual understanding to create narrative coherence. The multiple elements (skeleton, tests, hints, solution) force exhaustive generation covering all needs of a learner.

Expected result

You will obtain a complete series of 5 progressive exercises with detailed statements, starting code, testable test cases, three-level hints, and commented solutions. The whole will be structured coherently with prerequisites in the introduction and an integrative project in the conclusion, ready to be used in a training context.

Variants by level

FAQ

Can GitHub Copilot generate exercises in any programming language?

Yes, GitHub Copilot supports the vast majority of common programming languages (Python, JavaScript, Java, C++, Go, Rust, etc.) and can generate exercises adapted to the syntactic and idiomatic specifics of each. For best results, open a file in the target language before submitting your prompt, as Copilot uses the context of the active file to adjust its generation. The most popular languages typically yield richer results because the model has been trained on more examples.

How can I ensure the generated exercises are progressive and pedagogically coherent?

The key is to explicitly specify the desired progression in your prompt. Mention that each exercise should reuse concepts from previous ones and indicate the expected difficulty levels. You can also provide an ordered list of concepts to cover to guide the progression. After generation, verify that the difficulty curve is smooth and that the prerequisites for each exercise are indeed covered by earlier exercises. Feel free to iterate by asking Copilot to adjust the level of a specific exercise.

Are the solutions generated by Copilot reliable and usable directly in training?

The generated solutions are generally syntactically correct and functional, but it is essential to check them before use in training. Systematically run the generated code and validate the proposed test cases. Copilot may sometimes produce suboptimal solutions or miss edge cases. Consider the generation as a solid first draft that saves you 70 to 80% of creation time, but which requires expert review before distribution to learners.

How to use this prompt

Copy the prompt with the button above.
Paste it into ChatGPT, Claude or your favorite AI assistant.
Replace the bracketed variables with your details, then refine the result.

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