Show HN: FizzBuzzAI – The Most Inefficient FizzBuzz Solution Ever Made

4 months ago 21

A TypeScript package that uses OpenAI to solve FizzBuzz problems. This package provides an AI-powered solution to the classic FizzBuzz programming challenge.

To make a point. This package solves the classic FizzBuzz problem the same way many AI startups operate: by overcomplicating solutions with GPT. See index.ts:28

Using AI as a substitute for proper software engineering is pure tech debt — and that’s exactly why we should use it.

It’s not enough to know how to build something. You have to know what to build — and why — first.

These "GPT Wrappers" are qualifying real world problems. Once the problems are qualified, then we can invest the resources to remove the inefficiencies.

I, along with some cofounders, founded CX.dev on the premise that good software isn’t just about clean code — it’s about solving the right problems with the right level of effort at the right time. Only then can you get best value out of your technology investments.

First, make sure you have an OpenAI API key. You can either:

Set it as an environment variable: OPENAI_API_KEY=your-api-key
Pass it directly to the constructor

import { FizzBuzzAI } from "fizzbuzz-ai"; // Initialize with default settings const fizzbuzz = new FizzBuzzAI(); // Solve a single number const result = await fizzbuzz.solve(15); // Returns "FizzBuzz" // Solve a range of numbers const results = await fizzbuzz.solveRange(1, 5); // Returns ["1", "2", "Fizz", "4", "Buzz"]

import { FizzBuzzAI } from "fizzbuzz-ai"; const fizzbuzz = new FizzBuzzAI({ apiKey: "your-api-key", // Optional: defaults to OPENAI_API_KEY environment variable model: "gpt-4", // Optional: defaults to 'gpt-3.5-turbo' temperature: 0.5, // Optional: defaults to 0.7 maxTokens: 100, // Optional: defaults to 150 });

constructor(config?: FizzBuzzAIConfig)