Blog
Debugging SLA Fails in a Big Data API
Background So for our client, I built a big data APIs to handle millions of weather forecasts and observations. This data is used to model and forecast water flows in the US. There are countless lives and dollars of property that depend on the availability of that...
Few-Shot Prompting
The Setting I have an analogy that I use for Large Language Models (LLMs). Imagine a huge forest planet, with billions of trees, with billions of paths in the forest. These paths get you from one location to another. The forest starts empty, then during model...
I was asked about Kubernetes (K8s)…
I work with Elastic Kubernetes Service in AWS almost daily for a few years now, and was asked I had learned. So here are interesting things I have learned in no particular order: Way more can fit on nodes than you think. Way less can fit on nodes than you think -- if...
AI Agent Frameworks, Why We Built Our Own
I was initially really excited by LangChain/LangGraph, so I spent more than a few days implementing our workflows in LangGraph, everything worked as advertised, but for a ton of work, I basically had 20% of our flow requirements covered, and then I had to start...
An Example from Development
This is a quick note on where we are in the tool build out. Will provide more info later, this is mid-stream of the AI agent flow.
WireGuard is Nice
We created a “virtual cloud” with WireGuard and gained mores security, easier development, and an architecture for the first 1000 concurrent users.
DigiMuse.AI
Background on the creation of a new category to follow the DigiMuse.AI project. Allowing the reader to follow the project, from new and “dated, from notes” entries.