Philosophy #

Software Graph is built on the premise that software architecture should be:

• Explicit
• Machine-verifiable
• Graph-aware
• Deterministic

Modern systems often treat architecture as documentation.
Software Graph treats architecture as executable structure.

The Problem #

In traditional development:

• Service contracts drift silently.
• Dependency impact is manually reasoned about.
• Breaking changes are discovered late.
• Testing is reactive rather than structural.

This results in fragile systems and coordination overhead.

The Thesis #

If every service:

• Exposes a formal contract,
• Declares its dependencies explicitly,
• Is represented as a node in a graph,

Then change becomes a graph traversal problem.

Propagation can be computed. Impact can be measured. Forked environments can be generated automatically.

Architecture becomes data.

Design Intent #

Software Graph is not a framework.

It is a model for how software systems should evolve:

• Contracts drive implementation.
• Dependencies drive propagation.
• Validation gates drive promotion.
• The graph defines truth.