Welcome to the kickoff of the Trivia Spark application! Trivia Spark is my experiment in using ChatGPT to help develop a trivia application. This page documents the collaboration and progress as the project evolves.
Collaboration with ChatGPT
The Trivia Spark application began as an exploration of public APIs, specifically the Open Trivia Database. ChatGPT provided suggestions, code snippets, and creative solutions to overcome development challenges and accelerate prototyping.
ChatGPT helped brainstorm approaches, debug issues, and iterate on features. Its ability to quickly generate code and offer alternative solutions made it an invaluable collaborator.
Rapid prototyping and feedback cycles allowed for experimentation and refinement, resulting in a more robust and flexible trivia app.
Chat as Trusted Advisor
ChatGPT acted as a trusted advisor throughout the project, suggesting architectural patterns like enums and dictionaries for flexible game modes, and lazy loading for model management. Its feedback and willingness to iterate led to better design decisions and maintainable code.
The collaboration highlighted the value of AI as a development partner—offering expertise, adapting to feedback, and accelerating progress without ego.
ChatGPT vs GitHub Copilot
Both ChatGPT and GitHub Copilot were used in developing Trivia Spark. Copilot excels at code completion and context-aware suggestions, while ChatGPT provides broader architectural advice and problem-solving support. Together, they form a powerful toolkit for modern developers.
Copilot’s AI-driven code suggestions complement ChatGPT’s conversational guidance, enabling faster, higher-quality development.
Chat In Action
Here are a few screenshots illustrating the collaboration with ChatGPT during Trivia Spark’s development.
Get Unanswered Questions
Lazy Loading Example
Pros and Cons of Virtual Methods
Refactor With Suggestions
Optimize With Hashset
Rapid Prototyping
Get Incorrect Questions
Game Play Modes
ENUM Parse from String
Parting Thoughts
Key Takeaways
- Collaboration with ChatGPT enabled rapid prototyping and creative problem solving.
- Combining ChatGPT and GitHub Copilot accelerates development and improves code quality.
- AI tools are valuable partners for modern software development.
The kickoff of the Trivia Spark application was a collaborative effort with ChatGPT. Working with AI enabled quick prototyping, overcoming obstacles, and building a working app in a short time.
Collaboration between humans and AI models like ChatGPT is becoming increasingly common in software development. The tools I use are constantly evolving, and I continue to evaluate new ways to improve my process.
Here are a few of the other tools and reference sources I use: