Hi, I'm Scott Galloway.

Under Pressure: How Queueing Systems Handle Backpressure with Examples in C#

Backpressure is the unsung hero of distributed systems. It's what keeps your queues from bursting at the seams when producers are firing messages faster than consumers can chew through them. Put simply: it's the system saying "hold on a moment" when things get…

Self-Hosted Vector Databases with Qdrant: A Deep Dive

📖 Related to the RAG Series: This article provides a deep dive into Qdrant, the vector database used in: Part 4: ONNX & Qdrant Implementation - Building semantic search Part 5: Hybrid Search & Auto-Indexing - Production integration Qdrant (pronounced…

The War on 404: Making Old Stuff Work Again

When you've been blogging since 2004 (yes, really), you accumulate a lot of digital detritus. I recently imported my old posts from 2004-2009 ( https://www.mostlylucid.net/blog/category/Imported) and discovered that approximately everything was broken.…

Playing with Code: An Efficient Agile Approach

Why treating your branch as a sandbox—and play as legitimate work—produces better software with less stress. Hot take: Most developers are trying to be perfect at every stage of development, and it's killing both their creativity and their productivity. Here's…

RAG for Implementers: Hybrid Search and Automatic Indexing

📖 Part of the RAG Series: This is Part 5 - production integration patterns: Part 1: RAG Origins and Fundamentals - What embeddings are, why they matter Part 2: RAG Architecture and Internals - Chunking, tokenisation, vector databases Part 3: RAG in Practice -…

RAG in Practice: Building Real-World Applications

In Part 1 of this RAG series, we covered the fundamentals of Retrieval-Augmented Generation—what it is, how it works, and the underlying technology (embeddings, vector databases, LLM internals). Now it's time to put that knowledge into practice. This article…

RAG in Practice: Building Real-World Applications

In Part 1 and Part 2 of this series, we covered RAG's origins, fundamentals, and technical architecture. You understand what RAG is, why it matters, and how it works under the hood. Now it's time to put that knowledge into practice. This article shows you how…

RAG Architecture and Internals: How It Really Works

In Part 1, we covered RAG's origins, fundamentals, and why it matters. You understand the high-level concept: retrieve relevant information, then use it to generate responses. Now we dive deep into the technical architecture—exactly how RAG systems work under…

RAG Explained: Origins and Fundamentals

Ever searched for "deployment guide" and got nothing, even though there's an article about "publishing to production"? RAG (Retrieval-Augmented Generation) solves this by understanding meaning, not just keywords. This series shows you how RAG came about, how…

Daily Standups Are Bullshit (Unless They Earn Their Pay)

Daily standups aren’t inherently bad - but when they become ritual instead of alignment, they waste time and damage trust. This article explores why ceremony is tax, how to measure its value, and practical async-first alternatives that keep teams aligned…