『.NET Rocks!』のカバーアート

.NET Rocks!

.NET Rocks!

著者: Carl Franklin
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.NET Rocks! is an Internet Audio Talk Show for Microsoft .NET Developers.Copyright Carl Franklin
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  • Ten Things Scott Sauber Does On Every .NET App
    2026/05/28
    What settings, configurations, and workflows do you use for every .NET app? Carl and Richard talk to Scott Sauber about his list - from organizing folders by feature, to logging, security, and testing. Scott talks about enforcing rules like treating warnings as errors so you won't ignore important warnings, and validation in the build, to make applications more reliable. Each of these items represents some work, but in the end, your application will be higher quality and more reliable. Which ones are you already doing?
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    56 分
  • Using AI to Measure Quality of AI with Vishwas Lele
    2026/05/21
    Large Language Models can generate a lot of text - but is it any good? Carl and Richard talk to Vishwas Lele about his ongoing efforts at pWin.ai to build tools for responding to government RFPs. Vishwas focuses on the quality problem - both the quality of the incoming RFP and the quality of the responding proposal. How do you determine the key requirements of an RFP reliably? And when it comes to the response, how do you provide measurable results for a response? The conversation digs into a change in workflow that benefits the RFP process regardless of tooling - and gives hints to the patterns of success with LLMs!
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    58 分
  • Use What Works with Dylan Beattie
    2026/05/14
    Use What Works! Carl and Richard talk to Dylan Beattie about the Use What Works movement, encouraging developers to use well-maintained open-source projects available today rather than rolling their own. Dylan explains how folks go down a path of believing a library is simple until they learn enough to realize that every bit of software is more complicated than they realize. And the less code you own, the happier and more productive you are. Adding AI to the mix only makes it clearer: you need some stability in development. If you're changing every layer of code, you'll spend even more time and frustration chasing problems. Make getting results easier - use what works!
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    57 分
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