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Early-stage Startup·Software Engineer·Onsite - Coding / Algorithms·Intermediate

Intermediate
Jul 2026

Summary

AI-assisted coding round where you build a small API using their proprietary tool, then walk the interviewer through what the generated code actually does. The interviewer was visibly impatient any time I tried to ask clarifying questions, kept pointing me back to the docs.

Questions Asked (1)

Q1

Use the provided AI coding tool to build a small API, then explain your understanding of the code it generated.

API & IntegrationsTechnical Trade-offs
Author's notes

The tool did most of the heavy lifting which sounds great until you realize they're actually testing whether you can read and reason about code you didn't write.

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AI HintsAI Generated

Suggested Approach

Start by briefly describing the API you built with the AI tool, focusing on its purpose and key endpoints. Then, walk through the generated code, explaining each part in your own words to demonstrate comprehension. Finally, discuss any trade-offs or improvements you would make, showing critical thinking.

Pro tip: Don't just explain what the code does—highlight why the AI made certain choices and where you would deviate, showing you can critically evaluate AI output rather than blindly accept it.

1. Set the Context

Briefly state the API's purpose, the AI tool used, and the main functionality you aimed to achieve. Keep it concise to focus on the code explanation.

2. Walk Through the Code Structure

Give a high-level overview of the generated code's architecture: files, main components, and how they interact. This shows you understand the big picture.

3. Explain Key Sections in Detail

Pick 2-3 critical parts (e.g., routing, data validation, error handling) and explain what they do and why they matter. Use plain language to demonstrate true understanding.

4. Evaluate Trade-offs and Improvements

Discuss any limitations, potential bugs, or trade-offs in the AI-generated code. Suggest specific improvements or alternative approaches, showing engineering judgment.

5. Summarize Learnings

Conclude with what you learned from using the AI tool and how you would approach similar tasks in the future, emphasizing efficiency and code quality.

Key Points to Mention

  • API design principles (RESTful conventions, status codes, versioning)
  • Code readability and maintainability (naming, structure, comments)
  • Error handling and input validation
  • Security considerations (authentication, rate limiting, data sanitization)
  • Testing strategy (unit tests, integration tests)
  • Trade-offs between AI-generated code and manual coding (speed vs. control, potential biases)

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.