https://github.com/jamessimone/apexfizzbuzz

An example FizzBuzz experiment within Apex
https://github.com/jamessimone/apexfizzbuzz

Last synced: 5 months ago
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An example FizzBuzz experiment within Apex

• Host: GitHub
• URL: https://github.com/jamessimone/apexfizzbuzz
• Owner: jamessimone
• License: mit
• Created: 2022-07-15T18:55:48.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-07-15T18:57:54.000Z (almost 4 years ago)
• Last Synced: 2025-07-05T09:05:20.400Z (12 months ago)
• Language: Apex
• Size: 13.7 KB
• Stars: 5
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Apex FizzBuzz

![](./content/fizzbuzz.jpg)

Celebrating `FizzBuzz` years of FizzBuzz by adding a sampler of FizzBuzz testing problems for interview usage.

If you're planning to use Apex Fizz Buzz for interviews, my recommendation would be to:

1. Start off by introducing the candidate(s) to `DefaultFizzBuzzTest`. Get them familiar with the layout of the language and the testing framework

   - Specifically call out the `IFuzzBuzz` interface. Use this to drive out the conversation about interfaces, how they differ from abstract/virtual classes, and why you might use one over the other(s)

2. Reveal `DefaultFizzBuzz` itself and have them work through the implementation

3. Work on refactoring (if possible) and how things like:

   - coupling between the test and the implementation can be eased

   - the tradeoffs introduced by tight/loose coupling

   - how things like single returns / early returns influence the readability of the code

   - etc ...

4. Extra credit - work through another custom implementation! Check out `CustomFizzBuzz` and its test class - perhaps even have the _candidate(s)_ come up with their own zany FizzBuzz-adjacent ideas and pair on implementing that.