Making Design Pay with Billy Hollis
How does good design pay off in software? Carl and Richard talk to Billy Hollis about his work designing software, both from a user interaction perspective and application architecture. Billy talks about saving time and money by working hard on design to get a clearer picture of what stakeholders want—because code rework is always more expensive! The conversation also digs into the institutional knowledge walking out of many companies through employees retiring—and how much work that is going to generate over the next few years to modernize!
12 Sep 20241h 5min
Remote Mob Programming with Ulrika Malmgren
Can you do mob programming remotely? Carl and Richard talk to Ulrika Malmgren about mob, or team programming - where three to five developers work together on the same problem, rotating keyboard control and collaborating to write the best possible code. Modern tools like Teams and Zoom make it easy to do the same programming style with everyone remotely! Ulrika talks about how team programming becomes the standard approach to development - as opposed to solo programming, where everyone works separately and then has to spend time sharing what they've done! Good team programming results in higher-quality code in less time - and more happiness!
5 Sep 202450min
Machine Learning on Geospatial Data with Malte Loller-Anderson & Mathilde Ørstavik
What can machine learning do for geospatial data? Carl and Richard talk to Malte Loller-Anderson and Mathilde Ørstavik about their work at Norkart, using aerial imagery to build detailed maps around Norway. Mathilde dives into the critical role of machine learning - identifying buildings in images. Usually done by hand with each new image, Norkart has a machine learning model that automates the process trained on previous vector maps of buildings. But there are many things that look like buildings in Norway, including patches of snow, mountains, and even shapes under water. Malte also discusses how Norkart has decided to train in-house with nVidia L40 processors rather than in the cloud - the hardware is used 24 hours a day since some models can take weeks to train! There are many interesting ideas about geospatial data and machine learning from people who have been doing it for years.
29 Aug 202454min
Domain Driven Design and Event Sourcing with Anita Kvamme
What do Domain-Driven Design and event sourcing have to do with each other? Everything! Carl and Richard chat with Anita Kvamme about her experiences applying DDD, and specifically event storming, to developing applications using event sourcing. Anita talks about building applications that have many sources of events—from users and elsewhere—and needing to manage that complexity without slowing down development. Event sourcing also means keeping a source of the truth - all events leading up to a practical business benefit. And that can be hugely helpful in analytics as well!
22 Aug 202454min
Low-Code Solutions for .NET Developers with Serge Sarafudinov
How can a low-code solution help you deliver a .NET app? Carl and Richard talk with Serge Sarafudinov about his Xomega project. Serge describes how Xomega uses models and templates to generate .NET code for applications for Blazor clients, WPF, and even ASP.NET Forms and TypeScript! The conversation also digs into rehabilitating existing .NET applications where new features can be added with Xomega, and then gradually convert the existing application into the model approach - and then you can change out the client if you like! There are free and paid versions of Xomega; take it out for a spin and see if you can't deliver solutions faster!
15 Aug 202458min
Azure API Management's GenAI Gateway with Andrei Kamenev
How do you manage APIs to GenAI, and how can GenAI help with API management? Carl and Richard chat with Andrei Kamenev about the latest features coming to Azure API Management. On the one hand, there are Copilot tools to help craft and understand APIM policies, which can get very complex. Then, there is the provisioning of access to GenAI-related APIs like the Azure OpenAI service, which utilize tokens - and those tokens mean money, so they need to be controlled. The GenAI Gateway provides the ability to rate-limit token issuing and all the other capabilities you expect from APIM. Prompt caching is in preview and can decrease the cost of repeated use of the same prompts. Many of the features are new, and more are coming!
7 Aug 202450min
Getting into Containers using Aspire with Jiachen Jiang
How can .NET Aspire help you get into containers? Carl and Richard talk with Jiachen Jiang about her experiences working with .NET Aspire. Jiachen talks about the power of .NET Aspire to help lead developers to utilize cloud native architecture efficiently. A key part of the equation is containers, and Jiachen talks about how relatively rare containerized .NET apps are - because in many cases, it doesn't add anything but complexity. But as .NET applications need to scale in the cloud, containers become important, and .NET Aspire helps you to take advantage of containers while adding all the cloud-native features you'll value, like great telemetry, orchestration, and discovery!
1 Aug 202454min
Building Domain-Specific Copilots with Vishwas Lele
What if you want to build your own copilot? Carl and Richard talk to Vishwas Lele about his new startup, which is focused on using Azure OpenAI tools to help automate the government RFP writing process. Vishwas discusses the complexities of proposal writing, how specific and complex rules exist for each part of the proposal, and the challenge of getting the software to do an excellent job on the draft. The conversation digs into the domain expertise needed for the technologies and the proposal writing itself - like all good software, it requires domain experts. But when done right, this is hugely valuable software!
25 Jul 202450min
