Using Chatgpt as Your Co-Pilot: A Fresher’s Guide to assisted AI Coding Interviews

Introduction

For many years, getting ready for a software engineering interview involved writing code, learning algorithms, doing aptitude tests, and praying to God that your interviewer won’t give you an out-of-the-box question.  As AI tools like ChatGPT and GitHub Copilot become a part of routine software development, more and more companies are thinking about changing their approach to coding interviews.

In some cases, the candidate is even encouraged to use AI assistants when solving the problem. The task becomes much more interesting, because now recruiters will test not only your coding speed but also how good you are at using AI, validating its output, and understanding the solution proposed by it.
It’s time for freshers to update their preparation process.

1. Preparing Your Brain Before Getting Help from AI

It is rather easy to get the code with the help of AI; however, it might not be the best way to solve your problem. In certain cases, the code generated by the tool can contain some mistakes and unnecessary complications and even apply only in certain conditions. When interviewing with AI about the code, there is a possibility that you will need to explain the problem and receive the help from the assistant.

Therefore, if the assistant generates the code for solving your problem and produces a sorting function, then you should know the type of algorithm used, the time complexity of this algorithm, and whether it can be used for solving the problem. This does not mean that you should not use AI at all, but it means that you should be able to think on your own and know what to ask for.

2. Be an AI Prompter, But Don’t Be a Copy-Paster

The application of AI would be beneficial for the candidate from the technical point of view. A poorly formulated prompt usually results in a generic answer, while a well-crafted one allows obtaining better results. It would be better to not only ask the AI assistant to do something but also put some restrictions on its actions and specify the programming language, alternatives, and even tests.

For example, asking the assistant to explain the lack of work with the code on the empty input would be more beneficial than getting a new code all the time.
But this would not be enough. The recruiter may need candidates that could control the tool, refute its suggestions, and make it provide better answers. Blindly copying the answers of the tool could bring trouble during the following question of the recruiter.

3. Debugging AI Code

One of the extremely important techniques that is very helpful while preparing for an interview is learning how to find bugs in the solutions produced by AI tools. There always is a chance that some AI tools will not notice something or make a mistake with understanding the task; therefore, one will receive a solution that will be suitable for some data but wrong for other data. The candidate should be able to understand the error messages and apply debugging techniques. A person should be able to explain the reasons why the certain solution is wrong.

Such a person is a real problem solver.

4. Do Not Ignore DSA and CS Basics

In light of AI’s growing usage and implementation, it is very likely that some candidates will consider the study of DSA to be unnecessary. Arrays, strings, trees, graphs, databases, operating systems, and time complexities will help the candidates understand and analyze what AI offers as its output.

It will be relatively easy for them to participate in interviews where they cannot use any kind of AI tool. This should be because the interviewers do not let them use the tool to answer the question and prefer that they solve the question themselves. The best way forward would be to first solve the question and then verify it using the AI tool.

5. Practice Justifying Every Choice

Interviews are way beyond checking whether you can produce functioning code. The employer could be interested in how you deal with unusual tasks, how you justify your choices, and how you manage to overcome difficulties when completing the task. Practice explaining why you chose that particular algorithm, what else you’ve taken into consideration, and how you checked whether it is a correct choice.

Conclusion

Emphasis should be put on the following skills: problem-solving, validation, modification, and usage of technologies correctly. As for freshers who prepare for software engineer positions, the best option would be the following: learn basics, code, try AI, and never accept anything that cannot be explained. Since everyone can have an AI helper these days, the secret is in knowing how to use it correctly.

Frequently Asked Questions

1: How do ai coding interviews shape modern tech hiring?

During technical rounds, recruiters evaluate how candidates leverage AI assistants effectively.

2: Why is proper interview preparation essential for freshers?

Effective interview preparation bridges the gap between modern AI tools and fundamental computer science concepts.

3: What should candidates prioritize during ai coding interviews?

In ai coding interviews, understanding time complexity and algorithmic choices is vital.

4: How does interview preparation change with AI tools?

Thorough interview preparation involves mastering prompt engineering and debugging AI output.

5: Why are ai coding interviews challenging for beginners?

Ai coding interviews test your ability to validate AI suggestions rather than blindly copying them.

6: How does quality interview preparation help in technical rounds?

Good interview preparation ensures you master DSA basics for rounds where AI is banned.

7: What is tested during ai coding interviews?

Ai coding interviews assess your capability to justify every algorithmic choice and debug errors.

8: How can candidates include AI tools in their studies?

Smart study habits use AI as a verifier after solving problems independently.

9: Why avoid blind copying in ai coding interviews?

During ai coding interviews, recruiters ask follow-up questions exposing unverified code.

10: What is the main goal of interview preparation today?

Modern interview preparation combines AI assistance with strong fundamentals to excel in technical evaluations.

Citations & References

[1] S. Newton, “Yes, You Can Use AI in Our Interviews. In Fact, We Insist,” Canva Engineering Blog, Jun. 11, 2025. [Online].
Available:
https://www.canva.dev/blog/engineering/yes-you-can-use-ai-in-our-interviews/⁠.

[2] OpenAI, “Interview Guide.” [Online].
Available:
https://openai.com/interview-guide/⁠.

[3] GitHub, “Best Practices for Using GitHub Copilot.” [Online].
Available:
https://docs.github.com/en/enterprise-cloud@latest/copilot/get-started/best-practices⁠.

[4] HackerRank, “AI-Assisted Interviews,” HackerRank Knowledge Base, updated Sep. 18, 2026. [Online].
Available:
https://support.hackerrank.com/articles/5821380141⁠.

[5] Amazon, “Software Development Interview Topics.” [Online].
Available:
https://amazon.jobs/content/en/how-we-hire/interview-prep/software-development-topics⁠.

[6] Google, “How to Prepare for Technical Interviews,” Google Careers. [Online].
Available:
https://www.google.com/about/careers/applications/interview-tips/⁠.

[7] EvePlacement. [Online].
Available:
https://eveplacement.com/