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.NET Live TV

.NET Community Standup

ASPBetter AI for .NET developers with dotnet/skills

MICROSOFT
DOTNET
ASPNETCORE
BLAZOR

Featuring: Daniel Roth, Mike Kistler, Javier Calvarro Nelson, Wendy Breiding, Abhitej John Bandi #dotnet #aspnetcore #blazor

Learn how dotnet/skills helps AI assistants generate more accurate, idiomatic .NET code using skills, tools, and real-world evaluation scenarios.

23 Juni
On Air
ASP.NET Community Standup: Better AI for .NET developers with dotnet/skills
ASP.NET Community Standup: Better AI for .NET developers with dotnet/skills
MICROSOFT
DOTNET
ASPNETCORE
BLAZOR

.NET Community Standup

Featuring: Daniel Roth, Mike Kistler, Javier Calvarro Nelson, Wendy Breiding, Abhitej John Bandi #dotnet #aspnetcore #blazor

Learn how dotnet/skills helps AI assistants generate more accurate, idiomatic .NET code using skills, tools, and real-world evaluation scenarios.

Community LinksWatch: Chat with us on YouTubeWatch on Twitch

25 Juni
.NET Data Community Standup: Temporal tables and constraints in SQL Server and PostgreSQL 18
.NET Data Community Standup: Temporal tables and constraints in SQL Server and PostgreSQL 18
MICROSOFT
EF
EFCORE
DATA
TEMPORAL
SQLSERVER
POSTGRES

.NET Community Standup

Featuring: Shay Rojansky, Jiri Cincura #ef #efcore #data #temporal #sqlserver #postgres

In this session we'll take a deep look at temporal tables and constraints in database. The recently-released PostgreSQL 18 contains new temporal constraint functionality that superficially looks similar to SQL Server's temporal tables, but the two are in reality quite different. We'll dive into the details, compare the two and discuss two completely different concepts of what it means to store temporal data in databases.

29 Juni
On .NET Live - Moving from LLM guesswork to Spec Driven Development with GitHub Spec Kit
Moving from LLM guesswork to Spec Driven Development with GitHub Spec Kit
MICROSOFT
DOTNET
DOTNETDEVELOPER
GITHUB

On .NET Live

Featuring: Leonardo Micheloni #dotnet #dotnetdeveloper #GitHub

We work with very powerful AI technology, but most of the time is spent waiting for the LLM to guess from our prompt. This results in a long and frustrating circle to get the result we wanted. With spec driven development we bring structure to the chaos.

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