Architectural Invariant Design: OpenFGA Modular Model Migration & Semantic Versioning Invariant
OpenFGA Modular Model Migration & Semantic Versioning Invariant defines an industrial-grade behavioral standard for security engineering. Mandates deterministic, zero-downtime phased schema transitions for OpenFGA modular authorization models across distributed micro-domains. Enforces semantic versioning, strict Expand-Contract tuple migration pipelines, and explicit authorization_model_id pinning during live evaluations to prevent authorization bypass or denial-of-service during schema cutovers. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Destructive In-Place Schema Updates and Unpinned Model Evaluations Triggering Authorization Failures | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS pin an explicit, deterministic 'authorization_model_id' in all runtime calls (check, listObjects, write, read) rather than omitting the parameter and relying on the fluctuating 'latest' model.
Engineers MUST ALWAYS pin an explicit, deterministic 'authorization_model_id' in all runtime calls (check, listObjects, write, read) rather than omitting the parameter and relying on the fluctuating 'latest' model.
Engineers MUST implement the Expand-Contract migration pattern
Engineers MUST implement the Expand-Contract migration pattern: new relations and types must be introduced as additive non-breaking additions in parallel modular files before deprecating legacy relations.
Engineers MUST NOT delete or rename relations in modular .fga definitions without completing a dual-write phase, backfilling historical tuples, and verifying zero evaluation reads on the deprecated schema.
Engineers MUST NOT delete or rename relations in modular .fga definitions without completing a dual-write phase, backfilling historical tuples, and verifying zero evaluation reads on the deprecated schema.
Code SHOULD enforce runtime dual-writing of relationship tuples across transitional version boundaries whenever a relation's hierarchy or target type signature changes.
Code SHOULD enforce runtime dual-writing of relationship tuples across transitional version boundaries whenever a relation's hierarchy or target type signature changes.
Services MUST gate schema deployments using automated 'fga model test' validation assertions covering cross-module boundary relations prior to writing the model to production stores.
Services MUST gate schema deployments using automated 'fga model test' validation assertions covering cross-module boundary relations prior to writing the model to production stores.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is OpenFGA Modular Model Migration & Semantic Versioning Invariant critical for AI coding assistants?
Mandates deterministic, zero-downtime phased schema transitions for OpenFGA modular authorization models across distributed micro-domains. Enforces semantic versioning, strict Expand-Contract tuple migration pipelines, and explicit authorization_model_id pinning during live evaluations to prevent authorization bypass or denial-of-service during schema cutovers. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Destructive In-Place Schema Updates and Unpinned Model Evaluations Triggering Authorization Failures) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.