
Automating AI Context: How I Built a Custom Extension for IBM Bob IDE to Inject Project Rules
Building my own “vsix” extension to automate my own projects Introduction Setting up consistent workspace instructions across projects can q...

Building my own “vsix” extension to automate my own projects Introduction Setting up consistent workspace instructions across projects can q...

How to wire IBM’s @docling/docling-core, @docling/docling-components, and a Python AI backend into a single, coherent React + Node.js applic...

Book review: Kubernetes in Action, Second Edition from Manning 🚀 Introduction Back to back to some of my initial technical interests, I thi...

An introduction to MCP Hooks! Introduction The Model Context Protocol (MCP) has quickly become a standard for bridging Large Language Models...

Pros and cons of both tools provided by Bob! Introduction I’ve been reading and seeing blog posts regarding the virtues of llama.cpp versus ...

From Curiosity to Creation: Building a Loop Engineering Application with IBM’s Bob Introduction For some time now, “Loop Engineering” has be...

Accelerating observability adoption by automating OpenTelemetry instrumentation across heterogeneous codebases Introduction Years ago, I was...

Implementing a “Graph Language Model” with Docling-NLP Image from Docling-AI Building a local, privacy-focused Document AI pipeline often fe...

A sample application built by IBM Bob to demonstrate reasoning and implementing plug-and-play tool calling Introduction to IBM Granite 4.2 I...