Ready for a great explanation of Agentic AI? For the last show at Build, Carl and Richard sit down with Seth Juarez to dig into what agentic AI really is - and how you can take advantage of it! Seth discusses the potential of MCP and NLWeb to enable agents to work with each other, as well as the challenges of managing these tools effectively. The conversation turns to what's happening under the hood of agentic AI software, including the limitations of its abilities. There is a need for governance and clear thinking with these new development tools!

It's the Imagine Cup Finalists! While at Build, Carl and Richard sat down with Daniel Kim, Matt Steele, and Gheida Omar to talk about their projects in the Imagine Cup. Gheida discussed Signvrse, a mobile app that enables real-time translation of speech, text, and sign language. Matt tells the story of Hairmatch, a mobile app for women with textured hair. And Daniel describes Argus, the winner of the Imagine Cup, as a two-part wearable device for people with low vision that provides object detection, facial recognition, and spatial guidance. All amazing projects from a remarkable group of young people!

How do you eliminate the friction of development? Carl and Richard talk to Nicole Forsgren about her upcoming book on eliminating the friction from software development. Building on her earlier book, Accelerate, Nicole discusses the role of AI technologies in software development, along with more traditional DevOps elements, such as automating testing, deployment, telemetry, and more. There's never been a better time to pay attention to your tools and methods when it comes to software development - when you improve your workflow, your productivity soars!

What happens when AI comes to your web testing tool? While at Build, Carl and Richard talked to Debbie O'Brien about the latest features in Playwright, including Playwright MCP, the model control plane for Playwright capabilities. Debbie talks about using Playwright MCP to buy a table. Ask your LLM what tests should be written for your web page, and then ask it to write them. The potential of these tools is to make more tests in less time that are more resilient as versions of both the website and the testing tools change!

How will coding agents change your code? While at Build, Carl and Richard chatted with Scott Hunter about the announcements around coding agents at the keynote. Scott talks about the agent mode available in Visual Studio Code - and now in Visual Studio! Agent mode allows the LLM to evaluate the code across an entire solution, not just the file you're currently looking at. You can create a workflow where GitHub issues are assigned to the agent, which then generates code and provides a pull request for evaluation. The agents are here and helping us do more!

Do you understand how networking works in C#? Carl and Richard chat with Chris Woody Woodruff about his new book on networking with C#. Chris runs down the fundamentals of networking and then discusses the different approaches readily available in the C# world, including web sockets, gRPC, SignalR, and many more! The conversation also turns to the upcoming QUIC standards built into HTTP/3 that should simplify networking. Sure, you could go with the defaults, but why not explore all the options!

How do you secure browser-based frontends with ASP.NET Core backends? Carl and Richard discuss the Backend for Frontend (BFF) Security Framework with Erwin van der Valk. Erwin talks about Sam Newman's BFF Pattern and how it helps deal with the diversity of clients, including web, desktop, and mobile, to work with a common backend. OAuth 2.0 is capable of dealing with this complexity, but there are many moving parts, and that's where the security framework can help!

How do you balance architecture and code? Carl and Richard talk to Steve Smith about various architectural strategies and the swing back-and-forth against over-designing architecture and getting code written. Steve talks about how architecture changes depending on the size and number of teams, how the latest tools can help with architectural choices, and the challenge of effective refactoring when things need to change. Lots of great conversation!

Open Source Maintainers are burning out or going commercial - how do we solve this? Carl and Richard chat with Rob Mensching about his work to create the open source maintenance fee through GitHub. Rob talks about the common problem of single maintainers getting buried under issues and demands of consumers for a project. Recognizing that most people cannot contribute to the project, a maintenance fee helps support the maintainer in a low friction way for everyone involved. Check out the links to get started!

How can a large language model help your organization answer government RFPs? Carl and Richard talk to Vishwas Lele about his startup pWin, as in proposal win. Vishwas talks about being a year into the startup and his deeper understanding of how AI technologies can augment skilled operators to produce better quality products in less time, including responding to RFPs. The conversation digs into tuning the LLM to focus on the data relevant to each section of the RFP so that the operator can interact with the tool and build better responses!

Can you integrate performant audio-video into your .NET application? Carl and Richard talk to Elias Puurunen about his work at Tractus Events, where he uses the NDI protocols to bring real-time audio and video streams into his C# application. Elias talks about the power of P/Invoke to access the underlying libraries for controlling video streams, including utilizing NVidia GPUs for extremely fast encoding and decoding. You could write this code in C++, but why?

How do you measure the quality of a large language model? Carl and Richard talk to Dr. Jodie Burchell about her work measuring large language models for accuracy, reliability, and consistency. Jodie talks about the variety of benchmarks that exist for LLMs and the problems they have. A broader conversation about quality digs into the idea that LLMs should be targeted to the particular topic area they are being used for - often, smaller is better! Building a good test suite for your LLM is challenging but can increase your confidence that the tool will work as expected.