Architectural Invariant Design: OpenFGA ReBAC Sub-5ms Evaluation and Distributed Cache Invariants
OpenFGA ReBAC Sub-5ms Evaluation and Distributed Cache Invariants defines an industrial-grade behavioral standard for security engineering. Enforces deterministic sub-5ms tuple evaluation bounds and distributed cache coherence for OpenFGA Relationship-Based Access Control (ReBAC). Mandates in-memory single-flight deduplication, bounded contextual tuple payload sizing, and transactional write-token propagation to eliminate graph-traversal stampedes across distributed service boundaries. 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 | Unbounded Remote ReBAC Evaluation with Cache Stampedes and Missing Consistency Tokens | 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 implement local in-process memoization with single-flight request coalescing for repeated (user, relation, object) evaluation tuples within the same execution context.
Engineers MUST ALWAYS implement local in-process memoization with single-flight request coalescing for repeated (user, relation, object) evaluation tuples within the same execution context.
Engineers MUST propagate OpenFGA consistency tokens or transactional write timestamps in distributed request headers to satisfy Read-Your-Writes consistency without forcing global database synchronization.
Engineers MUST propagate OpenFGA consistency tokens or transactional write timestamps in distributed request headers to satisfy Read-Your-Writes consistency without forcing global database synchronization.
Engineers MUST NOT invoke OpenFGA remote evaluation within tight iterations
Engineers MUST NOT invoke OpenFGA remote evaluation within tight iterations; batch checks MUST be performed via `batchCheck` or scoped contextual tuples.
Services MUST enforce strict client-side timeouts (max 15ms total budget, 5ms P99 target) with a deterministic fail-closed fallback or local fallback policy cache.
Services MUST enforce strict client-side timeouts (max 15ms total budget, 5ms P99 target) with a deterministic fail-closed fallback or local fallback policy cache.
Components NEVER accept unbounded contextual tuples in authorization middleware
Components NEVER accept unbounded contextual tuples in authorization middleware; all ephemeral claims must be strictly validated, bounded in length (max 20 tuples), and sanitized before serialization.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is OpenFGA ReBAC Sub-5ms Evaluation and Distributed Cache Invariants critical for AI coding assistants?
Enforces deterministic sub-5ms tuple evaluation bounds and distributed cache coherence for OpenFGA Relationship-Based Access Control (ReBAC). Mandates in-memory single-flight deduplication, bounded contextual tuple payload sizing, and transactional write-token propagation to eliminate graph-traversal stampedes across distributed service boundaries. 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 (Unbounded Remote ReBAC Evaluation with Cache Stampedes and Missing Consistency Tokens) 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.