.NET Data Community Standup: Teach your AI agent database design with T-SQL static code analysis

Name: .NET Data Community Standup: Teach your AI agent database design with T-SQL static code analysis
Uploaded: 2026-10-09T16:58:01+00:00
Description: Erik Ejlskov Jensen shows how his open-source T-SQL static analysis rules and tooling can help enforce database design standards, including live feedback...

Today by Erik Ejlskov Jensen

Erik Ejlskov Jensen walks through two practical ways to use an open-source set of T-SQL static analysis rules (140+ rules) and its surrounding tools to improve SQL quality and database design.

Overview

1) Live T-SQL analysis while you write SQL

Erik demonstrates how to get immediate static analysis feedback on SQL scripts as you type, using the rule set in common SQL/dev environments:

VS Code
Visual Studio
SQL Server Management Studio (SSMS)

The goal is to surface database design and T-SQL issues early (during authoring), rather than only during review or after deployment.

2) Guiding AI-assisted database and EF Core model design with rules

Erik also shows how the same rule set can be used alongside EF Core Power Tools to:

Build a database model with AI assistance
Generate or align an EF Core model from that database design
Enforce the static analysis rules to constrain and guide the AI output toward the team’s database standards

This approach uses rule enforcement as a guardrail so AI-assisted design stays consistent with established T-SQL and database design conventions.

Featured guests

Jiri Cincura
Erik Ejlskov Jensen