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When aiming to land a technical role—be it in software development, data science, or engineering—preparation is key.
Beyond brushing up on your coding knowledge, you’ll also want to rehearse answering questions in a way that showcases both your expertise and problem-solving approach.
And ChatGPT can help you simulate a wide range of coding tests, interview questions, bug fixes, and potential interview scenarios so you walk into your interviews feeling confident and prepared.
Technical interviews often involve live coding challenges or whiteboard sessions. Practicing in a realistic environment helps you stay calm under pressure and articulate your thinking process clearly.
Set the Context
Provide ChatGPT with details about the language or problem type you want to tackle.
Prompt Example:
“Act as a hiring manager for a junior Python developer role. Give me a coding challenge that involves basic data structures, like lists or dictionaries, with a difficulty suitable for a 30-minute interview.”
Focus on Core Topics
Data structures (arrays, stacks, queues, trees, graphs)
Algorithms (sorting, searching, dynamic programming)
Common coding patterns (two-pointer, sliding window, recursion)
Prompt Example:
“Create a tree-based question for a mid-level developer, focusing on DFS (Depth-First Search). Include a sample input and what the expected output should be.”
Bug Fixes and Debugging
Ask ChatGPT to provide a snippet with an intentional error, then fix it or explain what went wrong.
Prompt Example:
“Give me a small, buggy JavaScript function for summing array elements. I want to practice debugging it step by step, and then get the corrected version.”
Iterate and Discuss
After solving the problem, discuss the solution with ChatGPT. Ask for alternative methods, time complexity, or space complexity trade-offs.
Prompt Example:
“Explain a more efficient approach to this problem with O(n log n) complexity, and compare it to my initial O(n^2) solution.”
Technical interviews aren’t just about solving code problems.
Interviewers often pose hypothetical situations to judge how you’d handle real-world issues, such as scaling a service or optimizing database queries. Practicing these scenarios improves your ability to think on your feet.
Role-Playing with ChatGPT
Ask ChatGPT to act as an interviewer, posing scenario-based questions.
Prompt Example:
“Act as a senior software architect interviewing me for a back-end developer position. Present me with a scaling challenge for a web application that’s receiving sudden spikes in traffic.”
Explore Different Angles
Cover topics like system design, database optimization, or API rate limiting.
Prompt Example:
“Describe a scenario where my REST API is running slowly. Ask me how I’d identify the bottleneck and optimize the performance.”
Evaluate Soft Skills
Technical roles also require communication, teamwork, and problem-solving skills. Ask ChatGPT for behavioral questions intertwined with the technical scenario.
Prompt Example:
“During the scaling challenge conversation, occasionally interject with queries about how I’d communicate changes to a non-technical team.”
Set a timer (e.g., 30 minutes) for coding challenges to mimic the interview’s time pressure.
Keep track of how you handle stress or new requirements added mid-problem.
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