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How to prepare for AI-assisted coding interviews?

Last updated: Mar 29, 2026

Quick Overview

This question evaluates proficiency in integrating AI coding assistants and developer tooling with core software engineering competencies such as debugging, testing, refactoring, and delivering maintainable changes under time constraints.

  • hard
  • DoorDash
  • Software Engineering Fundamentals
  • Software Engineer

How to prepare for AI-assisted coding interviews?

Company: DoorDash

Role: Software Engineer

Category: Software Engineering Fundamentals

Difficulty: hard

Interview Round: Onsite

## Scenario You’re invited to an onsite interview labeled **“AI Code Craft Challenge”**. - You will receive **starter code** (an existing small codebase). - You are **allowed and encouraged** to use an **AI coding assistant** in your local IDE. - The goal is to complete a practical engineering task while demonstrating how you use AI to **build / test / debug / iterate**. ## Question 1. **What should you prioritize when preparing** for an AI-assisted, starter-code-based coding interview? 2. **Which tools/workflows** (IDE setup, testing, debugging, linters/formatters, AI assistants) are most useful to have ready? 3. In practice, do tasks tend to be closer to **feature implementation**, **debugging**, **refactoring**, or **improving test coverage**—and how should you prepare for each? ## Constraints / Expectations (implicit) - Time-boxed interview environment. - You must ship a correct, maintainable change and communicate tradeoffs. - You should use AI effectively but still demonstrate strong engineering judgment and verification.

Quick Answer: This question evaluates proficiency in integrating AI coding assistants and developer tooling with core software engineering competencies such as debugging, testing, refactoring, and delivering maintainable changes under time constraints.

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DoorDash logo
DoorDash
Feb 12, 2026, 12:00 AM
Software Engineer
Onsite
Software Engineering Fundamentals
22
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Scenario

You’re invited to an onsite interview labeled “AI Code Craft Challenge”.

  • You will receive starter code (an existing small codebase).
  • You are allowed and encouraged to use an AI coding assistant in your local IDE.
  • The goal is to complete a practical engineering task while demonstrating how you use AI to build / test / debug / iterate .

Question

  1. What should you prioritize when preparing for an AI-assisted, starter-code-based coding interview?
  2. Which tools/workflows (IDE setup, testing, debugging, linters/formatters, AI assistants) are most useful to have ready?
  3. In practice, do tasks tend to be closer to feature implementation , debugging , refactoring , or improving test coverage —and how should you prepare for each?

Constraints / Expectations (implicit)

  • Time-boxed interview environment.
  • You must ship a correct, maintainable change and communicate tradeoffs.
  • You should use AI effectively but still demonstrate strong engineering judgment and verification.

Solution

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