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title: How three Java Champions put GitHub Copilot to work
description: Three Java Champions describe how they use GitHub Copilot beyond autocomplete, based on interviews from a GitHub Blog article. Vlad Mihalcea uses it to...
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# How three Java Champions put GitHub Copilot to work

**[Foojay.io](https://daily.dev/sources/foojayio)** · 1 min read · 0 upvotes · 0 comments

## Summary

Three Java Champions describe how they use GitHub Copilot beyond autocomplete, based on interviews from a GitHub Blog article. Vlad Mihalcea uses it to accelerate feature development while keeping existing coding practices intact. Patrick Baumgartner relies on agentic workflows with clear requirements and task-specific verification. Frank Delporte describes a Pi4J investigation where Copilot traced a hardware-input bug to virtual-thread pinning in native calls. The shared advice: give the agent useful context, ask for evidence, review its output, and stay responsible for what ships.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://foojay.io/today/java-champions-github-copilot>

## Questions this post answers

### How did GitHub Copilot help debug a virtual-thread pinning issue in Pi4J?

Copilot traced a hardware-input bug in Pi4J to virtual-thread pinning occurring in native calls. Java Champion Frank Delporte used the tool to investigate the issue, illustrating how AI assistance can help pinpoint subtle concurrency problems tied to native code interactions rather than just suggesting autocomplete snippets.

_Developers chasing virtual-thread pinning bugs can find more Copilot debugging workflows on daily.dev._

### What's the best practice for using AI coding agents on tasks with unclear requirements?

Give the agent clear, specific requirements and ask it for evidence supporting its output before accepting changes. Java Champion Patrick Baumgartner approaches agentic workflows this way, pairing clear task definitions with task-specific verification, and always reviewing the agent's output while remaining responsible for what ultimately ships.

_Teams refining agentic coding practices follow workflow breakdowns like this on daily.dev._

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#github](https://daily.dev/tags/github), [#java](https://daily.dev/tags/java)

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