GitHub Copilot Prompt for Interview Preparation
GitHub Copilot, the AI development assistant integrated into code editors, can become a formidable ally for preparing technical or professional interviews. By leveraging its code and text generation capabilities, you can simulate interview questions, structure your answers using the STAR method, generate coding exercises in real conditions, and anticipate classic recruiter traps. Whether you are preparing for an interview as a developer, data scientist, or technical project manager, Copilot helps you organize your ideas, formulate impactful responses, and practice on practical cases. The key advantage lies in its ability to contextualize questions according to the target position, the company's tech stack, and your experience level. Rather than browsing generic lists of questions online, you get a personalized preparation program directly in your work environment. This approach allows you to combine technical review and interview simulation in a unified workflow, maximizing your preparation time.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Act as a specialist coach in technical interview preparation. I am applying for a [JOB_TITLE] position at [COMPANY_NAME]. The technical stack mentioned in the job description includes: [TECHNOLOGIES]. I have [X] years of experience. Generate a comprehensive preparation program including: 1) The 10 most likely technical questions for this position with detailed answers and code examples where relevant, 2) 5 classic behavioral questions with answers structured according to the STAR method (Situation, Task, Action, Result), 3) A typical live coding exercise with its step-by-step commented solution, 4) Common trick questions and how to answer them confidently, 5) A list of relevant questions to ask the recruiter to demonstrate my understanding of the role. Adapt the difficulty level and technical depth to the position's seniority.
Personalize this prompt with LĂ©a
Léa rewrites this prompt for your job and your exact goal — 3 quick questions.
Why this prompt works
This prompt works through role assignment (specialist coach) which guides Copilot towards a professional and educational register. Personalization via variables (position, company, stack, experience) forces the model to contextualize each response instead of producing generic content. The numbered structure in five axes covers the entire spectrum of a technical interview, ensuring thorough preparation.
Use Cases
Variants
Expected Output
You will receive a structured preparation document covering all aspects of the interview: technical questions with detailed answers and code snippets, behavioral scenarios formatted in STAR, a complete coding exercise with commented solution, and strategies for handling unsettling questions. Everything is calibrated to the target position and company.
Frequently Asked Questions
Can GitHub Copilot really simulate a realistic technical interview?
Copilot generates questions and answers based on interview patterns widely documented in its training data. The questions produced are representative of what you'll encounter in a real interview, especially for popular technologies. However, it's recommended to supplement this preparation with mock interviews with humans to work on oral communication and body language—aspects Copilot can't assess.
How do I adapt the prompt if I don't know the company's tech stack?
Replace the [TECHNOLOGIES] variable with the company's industry and the type of role. For example: '200-person fintech company, backend position'. Copilot will infer the likely technologies and adjust its questions accordingly. You can also first ask it to guess the probable stack before launching the interview simulation.
What's the best way to use Copilot for live coding exercise preparation?
Ask Copilot to generate an exercise prompt WITHOUT the solution, then try to solve it yourself in your editor. Then, ask it to critique your solution in terms of algorithmic complexity, readability, and edge case handling. This two-step approach replicates real live coding conditions and trains you to code under pressure rather than simply reading solutions.
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- LĂ©aAI
Pour un entraînement plus réaliste, transformez ce prompt en simulation : demandez à Copilot de jouer le rôle du recruteur et de vous poser les questions une par une, en évaluant vos réponses. Ajoutez aussi le niveau de seniorité (junior/confirmé/senior) et les mots-clés exacts de l'offre pour affiner les questions techniques. Enfin, demandez des corrigés avec des pistes de réponses plutôt que des réponses complètes, pour mieux mémoriser.
📬 Get new prompts every week
Join our newsletter and never miss a prompt.
Go further
Similar Prompts
Prompt Gemini to Write a Cover Letter
The cover letter remains a determining factor in any application process. Yet, writing a text that catches the recruiter's attention in just a few seconds is a major challenge for many candidates. Gemini, Google's artificial intelligence, excels at generating persuasive and personalized texts. By providing it with the right information — your background, the target position, the company's values — Gemini can produce a structured, convincing cover letter tailored to your situation. The tool doesn't just fill a generic template: it analyzes the context you give it to create a customized argument that highlights your key skills against the job requirements. Whether you're applying for your first job or targeting a management position, Gemini helps you find the right tone, articulate your added value, and avoid clichéd phrases that end up in recruiters' trash bins.
Sora Prompt for Interview Preparation
Preparing for a job interview is a crucial step that can determine the outcome of your application. With Sora, OpenAI's video generation model, you have a powerful tool to create realistic visual simulations that will help you better understand the context of your future interview. Imagine being able to visualize the atmosphere of an office, simulate filmed interview scenarios, or produce personalized coaching videos that illustrate best practices in body language and posture. Sora allows you to generate video sequences from precise text descriptions, making it an ideal ally to materialize interview situations before experiencing them. Whether you're applying to a tech startup or a large consulting firm, the ability to concretely visualize your interview reduces stress and increases your confidence. By combining the power of video generation with methodical preparation, you transform an abstract exercise into an immersive, concrete rehearsal that maximizes your chances of success on the big day.
Stable Diffusion Prompt to Prepare for an Interview
Preparing for a job interview isn't just about rehearsing your answers: the image you project matters enormously. Stable Diffusion lets you visualise and fine-tune your visual presentation before the big day. Thanks to AI image generation, you can create realistic professional portraits to test out different outfits, hairstyles, and facial expressions. You can also generate interview settings to familiarise yourself with the environment, or produce high-quality visuals for a portfolio or presentation. Whether you're preparing for an in-person interview, a video call, or just want to update your LinkedIn profile picture, Stable Diffusion provides a visual testing ground without the constraints of a professional photoshoot. The tool excels in creating realistic corporate portraits, simulating various dress codes according to the industry you're targeting, and generating backgrounds tailored to your needs. By mastering the right prompts, you turn this creative tool into a genuine personal image coach.
Semi-structured interview guide
Research interviews