I've previously discussed my Web App Guide that I created to understand how to build a basic scaffold for various web app projects using Go, gqlgen, and Next (see the tutorial here). Now, this guide includes agent functionalities using LangChain!
I've been learning how to create web apps with Go, gqlgen, and Next, and I wanted to create a step-by-step guide outlining how to build a reusable scaffold. As I learned more, I felt compelled to distill my learning in order to better understand the logic that goes into creating more complex apps. So, of course I made a tutorial!
Recently, I read about how Khan Academy migrated from Python 2 to Go during a time when EdTech platforms were crucial - the COVID-19 pandemic. On their engineering blog, there are some interesting explanations as to how they were successful in breaking up their Python monolith and migrating to 20+ Go microservices during a time when so many students and teachers depended on them. After reading, I was inspired to learn even more!
I recently added a tutorial describing the basics of MCP, how to create local servers with FastMCP, and how to interact with these servers in LM Studio.
Had a lot of fun playing around with Langflow, Milvus, and LM Studio this week.
I tried out Docling + NuMind for information extraction from unstructured data.