AI App Platform: Elevating the Dev Experience
summary
Claim that the focus shifts from experimentation to production with tooling and templates that make AI apps enterprise ready, citing a billion new applications by 2028 as the scale pressure. Demonstrations include end-to-end RAG templates with infra and GitHub Actions that provision app code, infra, CI for prompt evaluations, and partner-built templates (aka.ms/ai-apps). Tooling highlights are GitHub Copilot for Azure (private preview), VS Code AI Toolkit, prompt sessions, and the ability to run and fine-tune small models locally.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 0:53AI app development demands
- 2:17Removing friction in AI lifecycle
- 4:03Customer insights on AI apps
- 5:47Developer experience innovations
- 7:55New AI tooling significance
- 9:42Microsoft’s AI strategy
- 11:27Closing remarks
related talks
55mBuilding and scaling AI applications for Data Scientists and Developers
01h 29mRunning AI Application in Minutes w/ AI Templates
01h 03mAI Templates
36mCode Complete: The Day AI Writes Your Next App!
28mTransforming Internal Developer Platforms with AI: Accelerating Innovation
13mAI from Microsoft's Perspective
01h 31mAccelerate Business Delivery With AI and DevOps
58mNext generation AI for developers with the Cloud
