How 3 Java Champions are using GitHub Copilot for increased productivity

But using Copilot is like having a new team member, so I used it to create an app that will ship in the next version of Hypersistence Optimizer. This is really useful when generating documentation for this project, since it lets the LLM learn from 12 years of blogging and provide examples that follow the same principles, such as expressiveness, testability, and simplicity. For thorough thinking, I use Opus with the 1 million context window and Extra High or Max reasoning.

Agent or tool: GitHub Copilot
Topic: Sales & Marketing
Reported on: Blog (GitHub)
Added: 2026-11-11

Why it matters

Sales and marketing run on research, lists and follow-ups. Agents are starting to take on that groundwork, freeing people for the conversations that actually close deals. It is one of 613 sightings filed under Sales & Marketing on Agent Sightings (number 291 by interest), and one of 47 involving GitHub Copilot.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into GitHub Copilot or any similar agent and adjust the details to your situation.

I want an agent to do the research and drafting for this sales or marketing workflow, and stop for my approval before anything is sent. The tool in the source case was GitHub Copilot.

Saved

Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.

Source

Read the original first-hand account on Blog (GitHub): https://github.blog/ai-and-ml/github-copilot/how-3-java-champions-are-using-git…. Our summary is a paraphrase; details are in the source.

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