Architectural Invariant Design: Deterministic Temporal Saga Barrier for OpenFGA Authorization Tuples
Deterministic Temporal Saga Barrier for OpenFGA Authorization Tuples defines an industrial-grade behavioral standard for security engineering. Prohibits direct, uncoordinated dual-writes between primary application datastores and OpenFGA relationship-based access control (ReBAC) stores. Enforces deterministic Temporal sagas with idempotent tuple synchronization, explicit compensation boundaries, and transactional outbox guarantees to eliminate authorization drift windows. 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 | Non-Transactional Inline Tuples Dual-Writing and Fire-and-Forget ReBAC Mutation | 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 route OpenFGA tuple mutations through deterministic Temporal Workflows implementing the Saga pattern with explicit compensations.
Engineers MUST ALWAYS route OpenFGA tuple mutations through deterministic Temporal Workflows implementing the Saga pattern with explicit compensations.
Engineers MUST NOT execute ad-hoc, inline OpenFGA SDK writes (`openfga.write`) inside HTTP controllers, database transaction scopes, or non-deterministic event listeners.
Engineers MUST NOT execute ad-hoc, inline OpenFGA SDK writes (`openfga.write`) inside HTTP controllers, database transaction scopes, or non-deterministic event listeners.
Activities mutating OpenFGA tuples MUST implement strict idempotency by utilizing deterministic contextual tuple keys and checking existing state before applying writes.
Activities mutating OpenFGA tuples MUST implement strict idempotency by utilizing deterministic contextual tuple keys and checking existing state before applying writes.
Workflows MUST register deterministic compensation activities (e.g., rolling back database records or deleting partial tuples) when terminal authorization failures occur.
Workflows MUST register deterministic compensation activities (e.g., rolling back database records or deleting partial tuples) when terminal authorization failures occur.
Services MUST NEVER treat entity creation as committed until both primary data persistence and OpenFGA tuple ingestion have reached consistent verification checkpoints.
Services MUST NEVER treat entity creation as committed until both primary data persistence and OpenFGA tuple ingestion have reached consistent verification checkpoints.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Deterministic Temporal Saga Barrier for OpenFGA Authorization Tuples critical for AI coding assistants?
Prohibits direct, uncoordinated dual-writes between primary application datastores and OpenFGA relationship-based access control (ReBAC) stores. Enforces deterministic Temporal sagas with idempotent tuple synchronization, explicit compensation boundaries, and transactional outbox guarantees to eliminate authorization drift windows. 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 (Non-Transactional Inline Tuples Dual-Writing and Fire-and-Forget ReBAC Mutation) 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.