← Series B+ Startup Interview Insights

Series B+ Startup·Software Engineer·Executive / Final Round·Intermediate

IntermediatePending
Apr 2026Remote

Summary

Fifth and final round with the CTO of a medium-sized AI-first company in the creative/entertainment space. The conversation got uncomfortable fast once the topic of AI-generated code came up, and I left genuinely unsure whether I handled it well or just torpedoed my chances by being honest.

Questions Asked (1)

Q1

Why aren't you using AI to write all of your code?

Technical Trade-offsAdaptability & Ambiguity
Author's notes

This is where things got tense.

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AI HintsAI Generated

Suggested Approach

Acknowledge that AI is a powerful tool but emphasize that engineering judgment, context, and accountability are irreplaceable. Explain how you use AI selectively for tasks like boilerplate, tests, or documentation while retaining full ownership of critical design and logic. Frame your answer around trade-offs, not resistance to AI.

Pro tip: Mention that you treat AI like a junior engineer: you review its output, you don't blindly trust it, and you take responsibility for what ships. This shows maturity and aligns with startup expectations of ownership.

1. Acknowledge AI's value

Start by affirming that AI is a useful tool and you do use it where appropriate, avoiding any perception of being anti-technology.

2. Highlight limitations

Explain that AI lacks project context, business logic, and long-term maintainability awareness, which are critical for production code.

3. Describe your selective use

Give concrete examples of where you leverage AI (e.g., boilerplate, tests, refactoring) and where you don't (e.g., core algorithms, security, architecture).

4. Emphasize accountability and quality

Stress that you are responsible for the code you ship, so you review, test, and understand everything, even AI-generated parts.

5. Connect to startup context

Tie your approach to the startup's need for speed and quality: using AI wisely accelerates without sacrificing reliability or team knowledge.

Key Points to Mention

  • AI is a tool, not a replacement for engineering judgment
  • Context and business logic are often missing from AI-generated code
  • Selective use: AI for repetitive tasks, human for critical thinking
  • Code ownership and accountability for what ships
  • Maintainability and long-term costs of poorly understood code
  • Team collaboration and knowledge sharing benefits of writing code yourself

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