Navigate a Maze Through a Next-Step API

Quick Overview

This Ramp software engineering question asks candidates to navigate a maze through a next-step API rather than direct grid access. It prepares candidates to reason about exploration, API contracts, hidden state, and defensive implementation in constrained coding interviews.

Navigate a Maze Through a Next-Step API

Company: Ramp

Role: Software Engineer

Category: Software Engineering Fundamentals

Difficulty: medium

Interview Round: Technical Screen

You are given an API that returns the next location you should visit in a maze. Starting from an initial location, repeatedly call the API until you reach the destination. Design the client logic, termination conditions, error handling, and tests for this API-driven maze traversal. ### Constraints & Assumptions - The API is real, not mocked, in the interview setting. - The API returns enough information to identify the next address or state. - The traversal may involve network failures. - The destination condition is detectable from the response. ### Clarifying Questions to Ask - What does the API response schema look like? - Can the API return cycles? - Is there a maximum number of calls? - How should authentication and rate limits be handled? - Should the client return the path or only the final destination? ### What a Strong Answer Covers ```premium-lock What a Strong Answer Covers ``` ### Follow-up Questions - How would you handle paginated or batched next steps? - How would you make traversal resumable? - How would you observe latency and failure rate? - How would concurrency help or hurt if multiple paths were possible?

Quick Answer: This Ramp software engineering question asks candidates to navigate a maze through a next-step API rather than direct grid access. It prepares candidates to reason about exploration, API contracts, hidden state, and defensive implementation in constrained coding interviews.

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Jul 2, 2026, 7:02 PM
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You are given an API that returns the next location you should visit in a maze. Starting from an initial location, repeatedly call the API until you reach the destination. Design the client logic, termination conditions, error handling, and tests for this API-driven maze traversal.

Constraints & Assumptions

  • The API is real, not mocked, in the interview setting.
  • The API returns enough information to identify the next address or state.
  • The traversal may involve network failures.
  • The destination condition is detectable from the response.

Clarifying Questions to Ask Guidance

  • What does the API response schema look like?
  • Can the API return cycles?
  • Is there a maximum number of calls?
  • How should authentication and rate limits be handled?
  • Should the client return the path or only the final destination?

What a Strong Answer Covers Premium

Follow-up Questions Guidance

  • How would you handle paginated or batched next steps?
  • How would you make traversal resumable?
  • How would you observe latency and failure rate?
  • How would concurrency help or hurt if multiple paths were possible?
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