Architectural Invariant Design: Mandatory Real-Time OpenFGA Contextual Tuple Graph Resolution at Gateway
Mandatory Real-Time OpenFGA Contextual Tuple Graph Resolution at Gateway defines an industrial-grade behavioral standard for security engineering. Enforces real-time Relationship-Based Access Control (ReBAC) authorization checks via OpenFGA at the API gateway layer to eliminate stale JWT claims and privilege escalation windows. Mandates the dynamic injection of ephemeral request attributes as contextual tuples into OpenFGA check evaluations rather than relying on cached, static token scopes or mutable client state. 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 | Authorizing mutations using stale JWT scopes or local database lookups instead of real-time OpenFGA contextual graph evaluation | 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 invoke OpenFGA `check` with exact object-relation-user tuples (`user
Engineers MUST ALWAYS invoke OpenFGA `check` with exact object-relation-user tuples (`user:${userId}`, relation, `resource:${resourceId}`) at the gateway layer before routing requests to downstream microservices.
Engineers MUST inject transient environment and request metadata (e.g., IP address, device trust, dynamic tenancy) as ephemeral `contextualTuples` or OpenFGA context objects during `check` calls without writing transient tuples to the persistent store.
Engineers MUST inject transient environment and request metadata (e.g., IP address, device trust, dynamic tenancy) as ephemeral `contextualTuples` or OpenFGA context objects during `check` calls without writing transient tuples to the persistent store.
Engineers MUST NOT rely on static JWT claim arrays (such as `roles`, `permissions`, or `groups`) to grant access to tenant-scoped or hierarchical resources.
Engineers MUST NOT rely on static JWT claim arrays (such as `roles`, `permissions`, or `groups`) to grant access to tenant-scoped or hierarchical resources.
Services MUST implement a strict fail-closed policy (`allow
Services MUST implement a strict fail-closed policy (`allow: false`) with structured audit logging if the OpenFGA evaluation times out or encounters network degradation.
Components NEVER execute mutations or query database records before an explicit OpenFGA `allowed
Components NEVER execute mutations or query database records before an explicit OpenFGA `allowed: true` response is verified.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Mandatory Real-Time OpenFGA Contextual Tuple Graph Resolution at Gateway critical for AI coding assistants?
Enforces real-time Relationship-Based Access Control (ReBAC) authorization checks via OpenFGA at the API gateway layer to eliminate stale JWT claims and privilege escalation windows. Mandates the dynamic injection of ephemeral request attributes as contextual tuples into OpenFGA check evaluations rather than relying on cached, static token scopes or mutable client state. 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 (Authorizing mutations using stale JWT scopes or local database lookups instead of real-time OpenFGA contextual graph evaluation) 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.