NEWS · CODING · #2267
Java Champions report using GitHub Copilot to accelerate coding and prototyping
Three experienced Java Champions describe using GitHub Copilot (in IntelliJ and the Copilot app) to speed analysis, design and implementation—examples include building a web UI for Hypersistence Optimizer in two days and migrating complex teaching slides. They outline practices for reliable use: reviewing AI output, creating custom “skills” to match their coding voice, selecting models (e.g., Opus with a 1M context window) by task, and integrating Copilot into team coaching and maintenance workflows.
KEY POINTS
- Three experienced Java Champions describe using GitHub Copilot (in IntelliJ and the Copilot app) to speed analysis, design and implementation—examples include building a web UI for Hypersistence Optimizer in two days and migrating complex teaching slides.
- They outline practices for reliable use: reviewing AI output, creating custom “skills” to match their coding voice, selecting models (e.g., Opus with a 1M context window) by task, and integrating Copilot into team coaching and maintenance workflows.
- Illustrates real-world, production-oriented use of AI coding assistants and practical practices to keep AI-generated code maintainable and trustworthy.
WHY IT MATTERS
Illustrates real-world, production-oriented use of AI coding assistants and practical practices to keep AI-generated code maintainable and trustworthy.