hello.frontend
Company Prep Hub

GitHub Frontend Interview Questions

Master the exact patterns and questions asked in GitHub frontend engineering loops. Practice in a real browser environment.

What GitHub tests

Coding fundamentals

Expect async JavaScript, utility functions, polyfills, data transforms, and edge-case reasoning.

Product UI builds

Machine-coding rounds usually test state modeling, component boundaries, loading/error states, and accessibility.

Frontend architecture

System design prompts look for trade-offs around rendering, caching, data flow, performance, and reliability.

Round structure

  1. 1

    Coding screen

    Start with JS fundamentals or a practical coding screen.

  2. 2

    Machine coding

    A React/UI machine-coding exercise with live trade-offs.

  3. 3

    System design

    For mid/senior roles, expect frontend system design and product architecture.

  4. 4

    Communication

    Prepare crisp explanations for decisions, edge cases, and alternatives.

Mistakes to avoid

  • •Jumping into code before clarifying edge cases and expected behavior.
  • •Solving the happy path but missing loading, empty, error, and accessibility states.
  • •Not explaining trade-offs while building. Interviewers score communication, not only code.
Company prep plan

Finish GitHub in about 11 hours

Work left to right: warm up with core coding, build one realistic UI, then practice explaining architecture and trade-offs.

Progress

0/14

Time box

11h

Step 1

Warm up

3 JS/DSA prompts

Step 2

Build

0 machine-coding prompts

Step 3

Explain

11 design and AI prompts

GitHub question set

14 questions

Premium company set

Full GitHub set + solutions stay in Premium

A few free practice links are included on this page. Premium unlocks the complete company-tagged list, recommended order, browser editor, solutions, and notes.

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JavaScript and DSA

3

Core language, async control, utilities, data structures, and edge-case reasoning.

System design and AI

11

Architecture prompts, data flow, rendering trade-offs, performance, and AI-era UI patterns.

Company notes

Save patterns, recruiter signals, and questions to revisit for GitHub.