Running Large Language Models (LLMs) locally has become increasingly accessible, and combining this with Claude Code opens up powerful possibilities for AI-assisted development without relying on cloud services. In this post, I’ll walk through setting up Ollama to run LLMs locally and how to integrate it with Claude Code.
Installing Ollama Ollama is a lightweight tool for running LLMs locally. Installation is straightforward on macOS:
brew install ollama For other operating systems, refer to the official Ollama installation guide.
Read More →The Istio Certified Associate, ICA is a challenging and practical hands on exam. To help learn a capability I like the idea of an exam based goal, it’s achievable and ensures I attain a strong understanding of the system.
Building a question and problem solving routine I used the following workflow, to methodically tackle each question. I found the routine helpful as it developed muscle memory and was one less thing to have to remember.
Read More →This document outlines the setup for a local developer environment running a Kind (Kubernetes in Docker) cluster with Istio installed.
Overview The environment is managed by a single script, manage-cluster.sh, which automates the creation, configuration, and teardown of the entire stack. This setup is ideal for testing and developing with Istio service mesh on a local machine.
The script handles the following:
Kind Cluster Creation: Sets up a multi-node Kubernetes cluster.
Read More →Local Knative Development on macOS (Apple Silicon/ARM64) This article provides a complete guide and all the necessary scripts to set up a local Knative development environment on an Apple Silicon (ARM64) Mac. It uses Rancher Desktop, Minikube, and a custom Go application to demonstrate a real-world CloudEvents workflow.
Source available from github.com.
The core of this setup is a robust shell script that automates the creation and destruction of a fully configured Knative cluster.
Read More →Recently, I’ve been testing out GenAI as a code assistance tool. The premise/hypothesis is that the tool will amplify an engineer’s output and thus lead to greater efficiencies. These efficiencies will manifest as either more output from existing developers or fewer developers required to achieve the same task, thus increasing productivity.
As every casual economics amateur knows, the main way to increase workers’ productivity is by giving them more and better machines to work with.
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