We help software developers and development teams learn how to reduce structural complexity in the systems they build.
This work is not about automation, tools, or eliminating developers. It is a disciplined way of structuring software so that stability and clarity emerge from the design itself, rather than being enforced through layers of defensive control logic.
The approach is non-trivial and must be learned and practiced, much like learning to reason about concurrency, numerical stability, or distributed systems. It is not a shortcut, but a shift in how developers reason about structure and responsibility at scale.
The examples presented here are intentionally small, concrete, and runnable. Their purpose is not to impress or persuade, but to make a different way of reasoning about complexity visible—often prompting the question: "How would I learn to do this in my own work?"
The value of these examples is not that they can be copied directly, but that they reveal a structural posture toward complexity that developers and teams can learn, practice, and apply across domains.
The following public repositories serve as teaching artifacts. Each example is intentionally minimal and designed to make a structural shift visible—often prompting the question: "How would I learn to do this in my own work?"
https://github.com/Relational-Relativity-Corporation/structure-vs-control
A minimal, runnable example showing how embedding invariants directly into structure can eliminate defensive control logic while producing the same numerical results.
https://github.com/Relational-Relativity-Corporation/error-handling-by-structure
Demonstrates how encoding constraints into structure localizes validation to construction boundaries, eliminating entire categories of defensive error-handling logic downstream.
https://github.com/Relational-Relativity-Corporation/structure-compounds
Shows how structural constraints compound to reduce total system complexity as requirements grow, and why this transformation cannot be achieved through incremental refactoring.
Interested in learning more about this approach or discussing how it applies to real systems and teams? Please use the form below to start the conversation—we'd be glad to hear from you.