How 3 Java Champions are using GitHub Copilot for increased productivity

Three experienced Java developers have shared their insights on how GitHub Copilot enhances their productivity while maintaining software quality. Vlad Mihalcea, founder of Hypersistence and author of High-Performance Java Persistence, uses Copilot to design and implement features in both Hypersistence Utils and Optimizer. He appreciates the tool's ability to generate code quickly, allowing him to focus on critical aspects like context, validation, and maintainability.

Mihalcea also creates custom skills for Copilot, ensuring the generated code aligns with his writing style and project requirements.

Patrick Baumgartner, a software craftsman with over two decades of Java experience, emphasizes the importance of maintaining a balance between human expertise and AI assistance. He suggests using appropriate model types based on the task at hand, such as Opus with a larger context window for complex problem-solving and lighter models for simpler operations.

Baumgartner also highlights the value of working collaboratively with teams, leveraging AI to augment productivity without sacrificing accountability or team independence.

Frank Delporte, a senior technical writer and maintainer of Foojay.io, shares three examples of how Copilot has transformed his work. Firstly, he migrated 900 teaching slides across 15 presentations from Reveal.js to Marp, a task that would have taken him a week or more to complete manually. By analyzing the existing material, defining constraints, and generating screenshots for visual and algorithmic comparison, Delporte successfully migrated the content without compromising the integrity of the classroom presentations.

This experience demonstrates how Copilot can help developers tackle large, complex projects more efficiently.