Architectural Invariant Design: OpenFGA Recursive Tuple Graph Evaluation Depth Fencing & Cycle Detection
OpenFGA Recursive Tuple Graph Evaluation Depth Fencing & Cycle Detection defines an industrial-grade behavioral standard for security engineering. Prevents catastrophic denial-of-service, unconstrained graph traversals, and thread-pool exhaustion during relationship-based access control (ReBAC) evaluations. Enforces mandatory cycle detection via visited-node memoization, strict bounded depth-fencing budgets, and fail-closed timeout signals across all recursive OpenFGA tuple resolutions. 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 Transitive Graph Traversal and Missing Cycle Detection in ReBAC Resolvers | 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 enforce an immutable maximum recursion depth limit (depth budget <= 10) on all recursive relationship graph traversals.
Engineers MUST ALWAYS enforce an immutable maximum recursion depth limit (depth budget <= 10) on all recursive relationship graph traversals.
Engineers MUST track visited object-relation tuples using a Set or bitmask to detect and immediately abort on cycles, failing closed with a deterministic CycleDetectedError.
Engineers MUST track visited object-relation tuples using a Set or bitmask to detect and immediately abort on cycles, failing closed with a deterministic CycleDetectedError.
Engineers MUST NOT execute unconstrained recursion or rely solely on default engine timeouts when expanding nested user-set or folder hierarchies.
Engineers MUST NOT execute unconstrained recursion or rely solely on default engine timeouts when expanding nested user-set or folder hierarchies.
Services MUST propagate an AbortSignal or context deadline through every step of tuple resolution to prevent dangling asynchronous graph exploration.
Services MUST propagate an AbortSignal or context deadline through every step of tuple resolution to prevent dangling asynchronous graph exploration.
Components NEVER interpret depth-fence exhaustion or cycle errors as permissive access
Components NEVER interpret depth-fence exhaustion or cycle errors as permissive access; traversal termination MUST fail closed with authorization denied.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is OpenFGA Recursive Tuple Graph Evaluation Depth Fencing & Cycle Detection critical for AI coding assistants?
Prevents catastrophic denial-of-service, unconstrained graph traversals, and thread-pool exhaustion during relationship-based access control (ReBAC) evaluations. Enforces mandatory cycle detection via visited-node memoization, strict bounded depth-fencing budgets, and fail-closed timeout signals across all recursive OpenFGA tuple resolutions. 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 Transitive Graph Traversal and Missing Cycle Detection in ReBAC Resolvers) 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.