Copilot · GitHub · GitHub Blog
How 3 Java Champions are applying GitHub Copilot for increased productivity
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AI coding tools can generate code quickly, but speed alone does not solve the hardest software engineering problems.
Key facts
- One was a migration of around 900 teaching slides across 15 presentations from Reveal.js to Marp
- Depending on the situation, that can mean Software Craft practices such as TDD, refactoring, continuous delivery and XP; architecture and modularisation with Spring Boot, Spring Modulith; Spring
- For thorough thinking, the reporter uses Opus with the 1 million context window and Extra High or Max reasoning
- The reporter has been using it to analyze, design, and implement various features in both Hypersistence Utils and Hypersistence Optimizer
Summary
To learn how experienced developers strike that balance, they spoke with three Java Champions, all with over a decade of experience in using Java. The reporter has been using it to analyze, design, and implement various features in both Hypersistence Utils and Hypersistence Optimizer. For example, the reporter has been wanting for a long time to develop a web application that provides Optimizer event history so they can see how performance improvement efforts are materializing in application performance. The reporter uses GitHub Copilot in IntelliJ IDEA because it’s convenient to run while reviewing source code or during a debug session.