Applied Large Language Models with Vishwas Lele
How do we put large language models to work? Carl and Richard talk to Vishwas Lele about his work using LLMs with his customers. Vishwas talks about focusing on specific data sets for building LLMs and how size matters - things are simple when the source data is small, but as it grows, you need more complex tools to be able to allow the LLM to perform. Lots of cautionary tales and ideas on how to get great results from these new automation tools!
30 Nov 20231h 2min
Sustainable Development with Lea Mladineo
How do we make our software greener? While at NDC in Porto, Carl and Richard talked to Lea Mladineo about her work in sustainable development. Lea talks about the impact of digital technology on the environment and how, with some thought and effort, we can make a real difference to that impact. The conversation explores how cloud computing can worsen the problem - or better! Software efficiency can reduce the number of cycles needed to complete a task, which is good for the environment and could save your organization money!
23 Nov 202346min
React Server Components with Aurora Walberg
How can React Server Components make your website better? While at NDC in Porto, Carl and Richard talked to Aurora Walberg about her work with RSC and Next.js 13. Aurora discusses mixing server and client rendering - and server rendering within client rendering! While it's still early days, if you're looking for options in the React development space, RSC is worth a look!
16 Nov 202343min
Commercializing Open Source with Victoria Melnikova
How do you commercialize open-source products? While at NDC Porto, Carl and Richard talked to Victoria Melnikova about her work with Evil Martians, helping startups make open-source products and make a living at the same time. Victoria talks about various revenue strategies, but always with a mind to providing a "forever free" tier to be responsible to the open source community. Charging for pro-features, limiting the number of uses before a paid tier... there are several approaches to revenue that users can work with, as long as you are open and honest about how things work!
9 Nov 202349min
.NET Conf with Jeff Fritz
Are you ready for .NET Conf? Carl and Richard talk to Jeff Fritz about the latest version of .NET coming out - and the online event that celebrates it! Jeff talks about his top ten favorite sessions in the show, the ones you definitely don't want to miss. And if you have folks that are new to .NET, you want to check out the pre-event day that can help folks get started! See you online Nov 13-15!
2 Nov 202354min
Observability Engineering with Charity Majors
What is observability engineering, and why do you need some? While at NDC in Porto, Carl and Richard recorded a .NET Rocks Live with Charity Majors, one of the founders of Honeycomb. Charity talked about her experiences trying to understand how complex applications worked and failed at scale over her years of experience at Facebook and other companies. Ultimately, those experiences led to a book and the creation of Honeycomb. Lots of fun insight from someone who has fought the good fight - and some great questions from the audience!
26 Okt 202350min
bUnit Update with Egil Hansen
What's the latest with bUnit? Carl and Richard chat with Egil Hansen about his excellent testing library for Blazor. Egil digs into the ongoing improvements being made in Blazor and how bUnit can support those changes without having to rewrite tests - even .NET 8 shouldn't be a huge problem! The conversation also digs into the different sorts of open-source projects out there, including tooling like bUnit. Not all open source is created the same! Great thinking from an experienced builder of testing tools to make it easier to build reliable Blazor applications.
19 Okt 202356min
Data Sharding with Oren Eini
What is data sharding, and why do you need it? Carl and Richard talk to Oren Eini about his latest work on RavenDB, including the new data sharding feature. Oren talks about the power of sharding a database across multiple servers to improve performance on massive data sets. While a sharded database is typically in a single data center, it is possible to distribute the shards across multiple locations. The conversation explores the advantages and disadvantages of the different approaches, including that you might not need it today, but it's great to know it's there when you do!
12 Okt 20231h 4min