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Coinbase·Software Engineer·Online Assessment (OA)·Intermediate

IntermediatePass
Jun 2026Remote

Summary

Coinbase OA for a software engineering role had an AI-assisted coding round where you had to implement a jump boundary function for a Flappy Bird game. The platform rendered the map live which was a nice touch. Passed with 16 out of 20 tests and still moved forward somehow.

Questions Asked (1)

Q1

Implement a jump boundary function for a Flappy Bird game, where the platform renders the map visually as you work.

Algorithms & Data StructuresTechnical Trade-offs
Author's notes

The AI assistant they gave you was pretty useless, barely helped with edge cases.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the game mechanics and constraints, then design a function that computes the jump boundary based on physics and input. Implement it incrementally, testing with the visual renderer to ensure correctness and smooth gameplay.

Pro tip: Discuss trade-offs between accuracy and performance, and mention how you would handle edge cases like frame rate variations and collision detection.

1. Clarify Requirements

Ask questions to understand the expected behavior: jump height, gravity, input handling, and how the boundary interacts with obstacles.

2. Design the Algorithm

Outline the physics model (e.g., kinematic equations) and determine how to compute the jump boundary dynamically based on current velocity and position.

3. Implement and Test

Write the function, integrate it with the game loop, and use the visual renderer to verify that the bird jumps correctly and boundaries are respected.

4. Optimize and Handle Edge Cases

Consider performance optimizations (e.g., precomputation, caching) and handle edge cases such as variable frame rates and collision responses.

Key Points to Mention

  • Physics simulation: gravity, velocity, and jump impulse
  • Frame rate independence and delta time
  • Collision detection with pipes and ground
  • Trade-offs between simple and accurate physics
  • Testing with visual feedback and debugging techniques
  • Code modularity and reusability

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