Architectural Invariant Design: Depth-Bounded Cycle-Safe ReBAC Contextual Tuple Graph Resolution
Depth-Bounded Cycle-Safe ReBAC Contextual Tuple Graph Resolution defines an industrial-grade behavioral standard for security engineering. Enforces bounded graph evaluation and input sanitization for Zanzibar-style ReBAC systems when resolving contextual authorization tuples. Prevents algorithmic complexity denial-of-service (ReDoS/Graph DoS) and evaluation deadlocks caused by unbounded recursion, user-injected cyclic dependencies, and missing traversal deadlines. 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 | Injecting Unsanitized Contextual Tuples Permitting Circular Traversal and Algorithmic DoS | 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 validate and enforce a strict upper bound on the cardinality of contextual tuples passed to OpenFGA check and list-objects calls (maximum 20 tuples recommended per request).
Engineers MUST ALWAYS validate and enforce a strict upper bound on the cardinality of contextual tuples passed to OpenFGA check and list-objects calls (maximum 20 tuples recommended per request).
Engineers MUST NEVER accept contextual tuples directly from unauthenticated or unvalidated client payloads without verifying subject-relation-object integrity and structural acyclicity.
Engineers MUST NEVER accept contextual tuples directly from unauthenticated or unvalidated client payloads without verifying subject-relation-object integrity and structural acyclicity.
Engineers MUST ALWAYS attach an explicit, depth-bounded timeout via AbortSignal (maximum 250ms for OLTP authorization paths) to every OpenFGA evaluation call.
Engineers MUST ALWAYS attach an explicit, depth-bounded timeout via AbortSignal (maximum 250ms for OLTP authorization paths) to every OpenFGA evaluation call.
Services MUST ensure that the OpenFGA authorization model configures finite resolve-check limits and explicitly forbids transitive cycles in contextual self-referential relations.
Services MUST ensure that the OpenFGA authorization model configures finite resolve-check limits and explicitly forbids transitive cycles in contextual self-referential relations.
Code MUST sanitize contextual tuples by asserting that subject and object identifiers do not form immediate self-referential loops (e.g., user
Code MUST sanitize contextual tuples by asserting that subject and object identifiers do not form immediate self-referential loops (e.g., user:X related to user:X) prior to client invocation.
Components NEVER execute unbounded recursive relation checks without client-side or gateway-level circuit breakers guarding downstream OpenFGA cluster memory.
Components NEVER execute unbounded recursive relation checks without client-side or gateway-level circuit breakers guarding downstream OpenFGA cluster memory.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Depth-Bounded Cycle-Safe ReBAC Contextual Tuple Graph Resolution critical for AI coding assistants?
Enforces bounded graph evaluation and input sanitization for Zanzibar-style ReBAC systems when resolving contextual authorization tuples. Prevents algorithmic complexity denial-of-service (ReDoS/Graph DoS) and evaluation deadlocks caused by unbounded recursion, user-injected cyclic dependencies, and missing traversal deadlines. 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 (Injecting Unsanitized Contextual Tuples Permitting Circular Traversal and Algorithmic DoS) 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.