Internship Project Deep Dive with Challenge, Feedback, Collaboration and AI Questions

In a hiring-manager interview for a new-grad frontend engineering role, scheduled for about 30 minutes, the manager covers three things: a deep dive into one of your internship projects with questions about its implementation details, standard behavioral questions about a challenge, feedback and collaboration, and your view on AI. Prepare an answer for each part below. ### Clarifying Questions - Should the project walkthrough be pitched at a general engineering audience, or go straight into technical depth? - When the interviewer asks for your view on AI, do they mean AI tools in your own engineering work, AI features in products, or the industry outlook? - Is it acceptable to draw the behavioral stories from school projects as well as the internship? ### Part 1 — Internship project deep dive Walk through one project from your internship, then answer detailed questions about how you implemented it. ```hint Pick a project you can defend Choose a project in which you made implementation decisions yourself, so that you can answer two or three levels of "why" about each of them. ``` #### What This Part Should Cover - The problem, your specific contribution and the result, with a measurable outcome where one exists - Frontend implementation detail: component structure, state, data flow, the API contract, testing and performance - Alternatives you considered, why you rejected them, and what you would change now ### Part 2 — Challenge, feedback and collaboration Answer three behavioral questions: tell me about a challenge you faced, about a time you received feedback, and about a time you collaborated with others. ```hint One story per question Prepare a different story for each question, and make sure your own actions, not the team's, are at the centre of each one. ``` #### What This Part Should Cover - A clear situation, your actions and a concrete result for each story - For feedback: how you responded and what changed afterwards - For collaboration: how you handled a disagreement or a dependency on other people ### Part 3 — Your view on AI Give your view on AI when the interviewer asks for it. ```hint Be concrete Ground the opinion in specific ways you have used, or chosen not to use, AI tools, rather than in general statements about the future. ``` #### What This Part Should Cover - A balanced position supported by concrete examples from your own work - How you check AI-generated output, and where you would not rely on it - How the view relates to building user-facing frontend features ### What a Strong Answer Covers - Concise, well-structured answers that fit a short round - Depth on the internship project that shows real ownership of implementation decisions - Distinct, specific behavioral stories with results and reflection - A considered, concrete view on AI rather than hype or dismissal - Reading the interviewer: offering detail on request and adjusting the depth ### Follow-up Questions - If you rebuilt the internship project today, what would you change in its architecture, and why? - Tell me about feedback you disagreed with. What did you do? - How would you review a teammate's pull request that was mostly generated by an AI tool?