I'm a software developer. Lately I've been working on agentic development and on applying generative AI to real products. I've been writing here since 2007, so the older posts are a bit of a time capsule.
Latest · Nov 2, 2026Case study: Building an agentic options trading copilotI trade options, and managing positions is close to a daily job. I couldn't find software that worked the way I wanted, so I built my own: the options trading copilot, which tracks my positions, flags what needs attention, and helps me work out what to do next.
Traditionally, we interact with Large Language Models (LLMs) by posing questions and receiving answers based on their pre-existing training data.
I’ve been exploring Algorand as a blockchain platform to build on. Algorand supports smart contracts via its own virtual machine, has a good transaction rate, low fees, is decentralized, and uses a proof of stake consensus algorithm.
I had a need to automatically install software on each node in a Kubernetes cluster. In my case, security scanning software. Kubernetes can start new nodes to scale up automatically, destroy nodes when no longer needed, and create/destroy nodes as part of automatic Kubernetes upgrades. For this reason, the mechanism to install this software has be integrated into Kubernetes itself, so when Kubernetes creates nodes, it automatically installs whatever additional software is needed.
I'm in the process of learning Apache Spark for processing and transforming large data sets, as well as machine learning. As I dig into different facets of Spark, I'm compiling notes and experiments in a series of Jupyter notebooks.