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Presenter Tips

Always explain what you’re about to do before executing a prompt:

  1. Intent“I’m going to ask Copilot to…”
  2. AI Action — Run the prompt, let the audience watch
  3. Validation“Notice how it picked up on…”

This structure helps the audience follow along even if the output is dense.

  • Prefer one backend service (order-service or payment-service) for consistency
  • Avoid prompts that touch many files simultaneously
  • Use VS Code’s diff view to highlight changes
  • “AI output varies each run — the structure will be consistent, but details may differ.”
  • “We always review AI-generated code before merging.”

AudienceSuggested Total TimeFocus Areas
Executives10 minPlan Agent, Review Agent, Security Overview
Engineering leads20 minFull end-to-end sequence
Developers30+ minFull sequence with live coding follow-ups
  • Allow 10–15 seconds for Copilot to generate responses
  • Don’t rush to fill silence while Copilot is working — narrate what’s happening
  • If a response is still generating, preview what to expect


Copilot Gives a Broad or Off-Topic Response

Section titled “Copilot Gives a Broad or Off-Topic Response”

Follow up with: “Make this minimal and repo-specific.”

This grounds Copilot back to the project context.

  • Switch to a pre-prepared example while waiting
  • Narrate: “While this generates, let me show you what the typical output looks like…”
  • Don’t panic — this is a teaching moment
  • Narrate: “This is exactly why we review AI-generated code. Let’s see what needs adjusting.”
  • Fix one issue live to show the iterative workflow
  • Check that the agent name is spelled correctly (e.g., @bdd-specialist)
  • Try refreshing the Copilot Chat panel
  • Have a backup screenshot of typical output

For maximum impact, structure the demo as a story:

  1. Setup“We have a bicycle e-commerce platform with 6 microservices…”
  2. Challenge“The PM wants a wishlist feature. Let’s see how Copilot helps across the entire SDLC.”
  3. Journey — Walk through Plan → Code → Review → Test → Deploy → Secure
  4. Resolution“In 20 minutes, we went from idea to implementation plan, working code, tests, CI pipeline, and security validation — all with AI assistance.”

Q: Does Copilot replace developers?

“No — it’s a force multiplier. Developers still make design decisions, review output, and own quality. Copilot handles the repetitive parts so developers focus on what matters.”

Q: How does it know about our codebase?

“Copilot reads the repository context — file structure, imports, naming conventions, configuration files — and uses that to generate contextually relevant code.”

Q: Is the generated code secure?

“AI-generated code should go through the same review process as human-written code. That’s why we showed the Review Agent and CodeQL — they catch issues regardless of who wrote the code.”

Q: What about data privacy?

“Copilot processes code in context but doesn’t store or train on your private repository code. Check GitHub’s Copilot trust documentation for the latest details.”