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We have a fairly secure default website to filter out some of the noise, for example we don't bother with http any more and anyone that is using http now really should be looking at getting a different browser. While we do drop port 80 at the edge router and t...

As we expand our network architecture across hosts like Quince, Blackberry, and Plum, we inevitably encounter applications that demand more than a basic "pass-through" configuration. While the primary purpose of our Nginx gateway remains the consolidation of S...

The document you hold—or more likely, the digital corpus you are navigating—is the result of a singular realization that has gripped the software engineering community in the mid-2020s: the realization that the sheer velocity of generative artificial intellige...

Chapter 1: The Virtual Laboratory – Linux Mint & Logic 1.1 The Mint Cinnamon Choice: Why a desktop-ready Linux VM (Mint 23.x "2026 Edition") is superior for logic development. 1.2 Provisioning the VM: Setting up VirtualBox/VMware with the Cinnamon Deskto...

The transition from the procedural and object-oriented dominance of the early 21st century to the neuro-symbolic requirements of 2026 has fundamentally altered the landscape of software architecture. For decades, the industry operated under the assumption that...

Overview Every serious engineering project begins with a reliable workspace. Before we write a single Prolog clause or a single Go function, we need an environment that is consistent, isolated, secure, and reproducible. This chapter is devoted entirely to that...

Overview There is a particular moment that almost every developer experiences when learning Prolog for the first time. It usually arrives somewhere in the second or third hour of study, after the syntax has started to feel slightly familiar but before the engi...

Overview The two previous chapters were concerned with what we write in Prolog — the syntax of facts, rules, and queries, and the way those constructs combine to form a useful knowledge base. This chapter turns attention to how the engine executes what we writ...

Overview The knowledge bases we built in Part I were powerful for what they were, but they shared a common characteristic: every entity was represented as a flat compound term with a fixed number of positional arguments. The predicate app(swi_prolog, '10.2.1',...

Overview Every serious computing environment generates text. Log files, configuration files, system status output, network packet captures, audit trails — all of these are streams of structured text that carry meaning in their format. The challenge for any inf...

Overview Part II left us with a capable, self-contained Prolog system. The infrastructure knowledge base models the homelab in structured Dicts. The DCG parser ingests /var/log/auth.log and turns raw syslog text into queryable data. The security analysis pipel...