AI & .NET

How to build an app on Azure SQL with an AI coding agent

Azure SQL Dev Corner published “How to build an app on Azure SQL with an AI coding agent” by Iqra Shaikh on 2026-09-29. Here is what it covers and why it matters for AI & .NET developers.

What was announced From the source

Azure SQL Dev Corner published “How to build an app on Azure SQL with an AI coding agent” by Iqra Shaikh on 2026-09-29.

The publisher summarises it as: “Developers have trusted SQL for decades, since long before AI existed. Now coding agents help choose the database, and they favor the one they can get running in the first few minutes. So today we’re shipping two things for that…”

The post is organised into these sections:

  • What Microsoft SQL Agent Skills do
  • What the Azure SQL Developer Hub gives you
  • Try it: from one prompt to a task app
  • Use the skills on an app you already have
  • FAQs
  • Next steps

At a glance · AI & .NET

What was announcedWhy it mattersWho should careWhat to do next

Why it matters Analysis

AI libraries for .NET evolve quickly, and APIs in preview often change between releases. Following updates helps teams choose stable abstractions and avoid building on APIs that are about to change.

Who should care Analysis

  • .NET developers building AI-enabled features
  • Teams evaluating model providers and orchestration libraries
  • Architects defining AI integration patterns

What to do next Analysis

  1. Read the full post on Azure SQL Dev Corner for details, code samples and documentation links.
  2. Read the linked release notes for breaking changes between versions.
  3. Review data-handling and cost implications of any model provider you connect to.

Sources and further reading

Original: “How to build an app on Azure SQL with an AI coding agent”, Azure SQL Dev Corner, published 29 Sep 2026, retrieved 16 Oct 2026. This article was generated from the official source using our structured templates and passed automated quality checks. Spotted a mistake? See our corrections policy.