Designing contract-driven software systems that evolve safely.

Software Graph is an experimental systems initiative focused on treating APIs and service contracts as first-class graph assets.

Instead of thinking about services as isolated units, Software Graph models distributed systems as dependency graphs of contracts — enabling traceability, structured evolution, and deterministic change propagation.

• OpenAPI as Canonical Contract
• Structured Schema Evolution
• Graph-Based Dependency Modeling
• Deterministic Change Propagation
• Separation of Dev and Prod Meshes
• Distributed Verification via JWT + JWKS
• Automation-Ready Architecture

Services are modeled as nodes in a directed graph.

Edges represent explicit contract dependencies.

graph TD
    Auth[Auth Service]
    A[Service A]
    B[Service B]
    C[Service C]

    Auth --> A
    Auth --> B
    B --> C

When a contract changes, the graph determines:

• What depends on it
• Whether the change is additive or breaking
• What must be forked in the development mesh
• What must pass before promotion

Software Graph separates evolution from stability.

graph LR
    Prod[Production Mesh]
    Dev[Development Mesh]

    Change[Schema Change]
    Propagate[Graph Propagation]
    Validate[Test + Policy Gates]
    Promote[Promotion to Prod]

    Change --> Propagate
    Propagate --> Dev
    Dev --> Validate
    Validate --> Promote
    Promote --> Prod

The development mesh absorbs structural change.
The production mesh remains stable until validation succeeds.

The system uses:

• Self-contained JWT access tokens
• Distributed signature verification via JWKS
• Structured scopes for forward-compatible authorization
• Audience-based service isolation
• Explicit introspection for debugging and edge cases

Contracts are modeled explicitly to allow safe evolution.

Modern distributed systems suffer from:

• Implicit coupling
• Undetected breaking changes
• Incomplete contract modeling
• Runtime discovery of incompatibility
• Manual propagation of schema changes

Software Graph explores an alternative:

Make the contract graph explicit.
Make change classification deterministic.
Make propagation structured.
Make automation possible.

This organization is currently in active experimental development.

Core areas under exploration:

• Contract graph modeling
• Schema diff classification
• Mesh propagation mechanics
• Policy-based change gating
• Autonomous update pipelines

TBD

Software Graph is an ongoing exploration into how software systems can evolve with stronger guarantees, clearer contracts, and graph-level traceability.