Warehouse Robot Grid Navigator AI-Assisted Coding Interview

Build an extensible warehouse navigation service, then evolve it from one robot to multiple robots with collision handling.

Mock Interview with AI

1. Problem Statement

Design and implement navigation for one warehouse robot. Establish your architecture yourself, use the AI assistant incrementally, and expect follow-up requirements.

2. Live Coding Format

Work in the provided coding workspace while explaining your decisions to the live interviewer. Validation may use inline tests, examples, comments, or a verbal walkthrough.

3. Key Focus Areas

1
Project and API design
2
Path-planning correctness
3
Extensibility
4
Collision strategy
5
AI workflow ownership

4. What Strong Candidates Should Demonstrate

✓Create a clean architecture from a nearly empty brief.
✓Use an AI assistant incrementally instead of generating an entire application at once.
✓Extend a single-agent design to handle concurrent movement and collisions.

Want interactive feedback?

Practice this problem in the live coding workspace while the interviewer probes your clarification, implementation, trade-offs, and validation.

Start Interview

Core Concepts

Grid NavigationEvolving RequirementsMulti-Agent CoordinationAI Tool Ownership