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How I shipped more code and products than ever before

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Claims fast delivery and concrete results: multiple apps (Scorekeeper, Bingo, Pod Stats, Trim Tally) plus a production tool Feedback Flow that pulls threads, runs AI analysis, and exports reports. Uses GitHub Copilot across VS Code and Visual Studio, Copilot CLI, agent mode, GitHub MCP, Azure Functions, blob/table storage, Application Insights, and Microsoft Foundry. Architecture is Blazor Server frontend, MCP servers, cloud agents and CI/CD; a working prototype deploys quickly — zero lines of code by hand, prototype in two days, 562 comments analyzed.

AI-written summary · about

  1. 0:00Intro: How I Shipped More Code Than Ever
  2. 0:38Vibe Coding: Building Apps with Flow and Copilot
  3. 1:08Apps I Built This Year: From Blazor to SwiftUI
  4. 1:41Real Examples: Scorekeeper, Bingo, and Podcast Tools
  5. 2:33Pod Stats and Trim Tally: Creative Projects with AI
  6. 3:35Feedback Flow: The Big Project and Why It Matters
  7. 4:01The Problem: Gathering Feedback Across Platforms
  8. 5:05Copilot as a Command Center for Developers
  9. 5:38Demo: Feedback Flow in Action
  10. 7:16Architecture Deep Dive: Blazor, MCP, Azure Functions
  11. 8:23How I Built It: From Idea to Prototype in Two Days
  12. 9:52Agent Mode: Accelerating Development with AI
  13. 11:01Improving Prompts and Personalizing Workflow
  14. 11:41Copilot Instructions and Customization Tips
  15. 12:40Using Prompt Files, Custom Agents, and MCP Servers
  16. 14:07Picking the Right Models for Different Tasks
  17. 15:05Copilot CLI and Cloud Agent for Background Tasks
  18. 16:00Assigning Tasks from GitHub Mobile and VS Code
  19. 16:33Specs vs Vibes: When to Use SpecKit for Planning
  20. 16:46Summary: Save Time, Ship Faster with Copilot Everywhere
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