  Navigating the diverse solution spaces of non-trivial software engineering
tasks requires a combination of technical knowledge, problem-solving skills,
and creativity. With multiple possible solutions available, each with its own
set of trade-offs, it is essential for programmers to evaluate the various
options and select the one that best suits the specific requirements and
constraints of a project. Whether it is choosing from a range of libraries,
weighing the pros and cons of different architecture and design solutions, or
finding unique ways to fulfill user requirements, the ability to think
creatively is crucial for making informed decisions that will result in
efficient and effective software. However, the interfaces of current chatbot
tools for programmers, such as OpenAI's ChatGPT or GitHub Copilot, are
optimized for presenting a single solution, even for complex queries. While
other solutions can be requested, they are not displayed by default and are not
intuitive to access. In this paper, we present our work-in-progress prototype
"GPTCompare", which allows programmers to visually compare multiple source code
solutions generated by GPT-n models for the same programming-related query by
highlighting their similarities and differences.
