Software Graph #

Contract-driven. Propagation-aware. Deterministic.

Software Graph is an experimental architecture model for building software as an explicit dependency graph of services and contracts.

At its core: #

• Every service is a node.
• Every dependency is an edge.
• Every contract is a first-class artifact.
• Every change propagates deterministically.

Core Principles #

1. Contracts First #

All services expose explicit OpenAPI specifications.

Contracts are not documentation — they are the source of truth.

Schema changes trigger downstream propagation.

2. Graph-Native Design #

Services form a directed graph:

• Nodes represent services or components.
• Edges represent dependency relationships.
• Changes propagate along outgoing edges.

The system treats architecture as data.

3. Dev/Prod Mesh Separation #

Two meshes exist:

• Dev Mesh — experimental propagation space
• Prod Mesh — stable validated graph

When a contract changes:

1. A forked subgraph is created in dev.
2. Dependent services are updated automatically.
3. Tests and coverage gates are executed.
4. Only validated graphs are promoted to prod.

4. Self-Contained Authentication #

Authentication is designed to avoid central bottlenecks.

• JWT access tokens
• Public JWKS verification
• Structured scopes
• Audience enforcement
• Optional introspection for debugging

Auth is graph-aware.

Why This Exists #

Modern software development:

• Breaks contracts silently
• Lacks global dependency awareness
• Requires manual coordination
• Treats architecture as documentation

Software Graph treats architecture as executable structure.

Status #

Early experimental phase.

Design and contract modeling are underway.

Automation and propagation engines in progress.

Philosophy #

Software should be:

• Traceable
• Deterministic
• Self-describing
• Propagation-aware

The graph is the system.