Disclaimer: Generated by AI, Gemini 3.8 through Antigravity

Work in Progress: This post is an evolving engineering log and retrospective on designing and implementing a pure Go OPS5 production rule engine from the ground up.

The Genesis: Why OPS5 and Why Go?

In the late 1970s and early 1980s, Charles Forgy at Carnegie Mellon University developed OPS5 (Official Production System 5) alongside the Rete algorithm. It became the intellectual cornerstone of expert systems, forward-chaining rule engines, and declarative knowledge representation.

Disclaimer: Generated by AI, Gemini 3.8 through Antigravity

Cellular automata like John Conway’s Game of Life are almost universally taught and implemented imperatively: allocate a two-dimensional grid array, iterate over every row and column with nested for loops, count the 8 Moore neighbors, and write the next state to a backbuffer.

Following my recent work building ops5 in Go (and the deep dive in Building OPS5 in Go: Implementing the Rete Algorithm from Scratch), I wanted to put the engine through its paces with something visually tangible, reactive, and non-trivial: