『.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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  • Daemonic AI with Emmz Rendle

    Daemonic AI with Emmz Rendle
    2026/06/04
    Is it time to build your own agent harness? Carl and Richard talk to Emmz Rendle about her work on Daemonic AI, which gives you more control over which models and tooling you use to build software with agents. Emmz talks about the upcoming rug pull in AI software development tools, where prices are rising, and services are being restricted. Having enough control to choose when to run locally becomes key to being productive at a reasonable price. Being able to pick-and-choose what agents and configurations to use for each of the agent roles you want to implement is super powerful - check out the GitHub project and take it for a spin!
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    59 分
  • Ten Things Scott Sauber Does On Every .NET App

    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

    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
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