A software development team wants to use generative AI (gen AI) to code faster so they can launch their software prototype quicker. What should the team do?

Question

Options

• AUse gen AI to refactor and optimize existing code.
• BUse gen AI to suggest code snippets and complete functions.
• CUse gen AI to automatically generate comprehensive documentation for their code.
• DUse gen AI to identify potential bugs and security vulnerabilities in their code.

• A
  3% (1)
• B
  82% (28)
• C
  9% (3)
• D
  6% (2)

Explanation

To launch a prototype faster, the most direct application of gen AI is code suggestion and function completion-tools like GitHub Copilot or Gemini Code Assist generate boilerplate, autocomplete logic, and propose implementations in real time, cutting the time developers spend writing code from scratch. Refactoring (A), documentation generation (C), and bug/security analysis (D) are valuable but are optimization and quality-assurance activities applied to existing code; they do not accelerate the initial creation of new functionality, which is the bottleneck when building a prototype quickly.

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