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