Agentic AI Journeys: Planning, Coding, and Deployment | Data Exposed

What if you could go from idea to running in Azure and stay focused on your actual product the entire time? With AI agents and skills handling the code and infrastructure (Bicep templates, health probes, database wiring, deployment pipelines, etc.), you can spend your time on what makes your app interesting instead of what makes it run. In this episode, Dan Wahlin discusses how to make that a reality and get an iPhone app built out that calls into Microsoft Foundry and Azure SQL. You’ll learn about the importance of planning (and iterating over a plan), building out code, creating infrastructure code, and deployment to Azure. ✅ Chapters: 0:46 Intro to agentic workflows and why they matter 2:45 Demo overview, a smart TODO application 3:25 Azure SQL Database as the data store for the application 4:20 See the smart TODO in action that uses AI to generate steps for TODO and stores in a database 5:00 MSSQL extension for VS Code to see the data in the database from the app 6:30 Each journey has a planning document and various phases 7:25 GitHub Copilot CLI and /plan 8:46 What actually got deployed in the Azure portal 9:15 Journey runner skill 11:50 Final tips and tricks and the /review ✅ Resources: Agentic Journeys Repo: https://aka.ms/agentic-journeys Azure Skills Plugin: https://github.com/microsoft/azure-skills SQL Server Extension for VS Code: https://marketplace.visualstudio.com/items?itemName=ms-mssql.mssql 📌 Let's connect: Dan Wahlin X: https://x.com/danwahlin LinkedIn: https://linkedin.com/in/danwahlin Twitter - Anna Hoffman, https://twitter.com/AnalyticAnna Twitter - AzureSQL, https://aka.ms/azuresqltw 🔴 Watch even more Data Exposed episodes: https://aka.ms/dataexposedyt 🔔 Subscribe to our channels for even more SQL tips: Microsoft Azure SQL: https://aka.ms/msazuresqlyt Microsoft SQL Server: https://aka.ms/mssqlserveryt Microsoft Developer: https://aka.ms/microsoftdeveloperyt #AzureSQL #SQL #LearnSQL