Architectural Invariant Design: OpenFGA CDC Outbox Transactional Consistency and Cache Invalidation
OpenFGA CDC Outbox Transactional Consistency and Cache Invalidation defines an industrial-grade behavioral standard for security engineering. Enforces strict transactional consistency between primary entity mutations and external OpenFGA relationship tuples using the Transactional Outbox pattern with Change Data Capture (CDC). Prevents dual-write race conditions, authorization drift, split-brain permission states, and stale cache authorization bypass vulnerabilities. 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 | Dual-Writing Inline OpenFGA Tuples within HTTP Handlers Causing Phantom Permissions and Cache Desynchronization | 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 NEVER perform direct inline calls to `openfgaClient.write()` or `openfgaClient.writeTuples()` within primary business application services or HTTP request lifecycles.
Engineers MUST NEVER perform direct inline calls to `openfgaClient.write()` or `openfgaClient.writeTuples()` within primary business application services or HTTP request lifecycles.
Engineers MUST ALWAYS persist domain mutations and authorization tuple mutation events inside the same database transaction using the Transactional Outbox pattern.
Engineers MUST ALWAYS persist domain mutations and authorization tuple mutation events inside the same database transaction using the Transactional Outbox pattern.
Outbox event payloads MUST include monotonic sequence numbers or strict transaction timestamps, the full tuple key (user, relation, object), operation type ('WRITE' | 'DELETE'), and entity correlation identifiers.
Outbox event payloads MUST include monotonic sequence numbers or strict transaction timestamps, the full tuple key (user, relation, object), operation type ('WRITE' | 'DELETE'), and entity correlation identifiers.
CDC consumer workers MUST execute OpenFGA tuple updates idempotently and verify monotonic ordering using conditional writes or conflict detection tokens.
CDC consumer workers MUST execute OpenFGA tuple updates idempotently and verify monotonic ordering using conditional writes or conflict detection tokens.
Authorization decision caches (PEP caches) MUST be invalidated atomically within the CDC event processing loop before acknowledging the outbox message.
Authorization decision caches (PEP caches) MUST be invalidated atomically within the CDC event processing loop before acknowledging the outbox message.
CDC consumers MUST route irrecoverable OpenFGA write failures to a Dead Letter Queue (DLQ) and trigger an alert rather than silently dropping tuple state mutations.
CDC consumers MUST route irrecoverable OpenFGA write failures to a Dead Letter Queue (DLQ) and trigger an alert rather than silently dropping tuple state mutations.
Services MUST query OpenFGA using contextual tuples or transactional consistency tokens (such as Zookies/Zanzibar consistency tokens) when read-after-write consistency is mandatory.
Services MUST query OpenFGA using contextual tuples or transactional consistency tokens (such as Zookies/Zanzibar consistency tokens) when read-after-write consistency is mandatory.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is OpenFGA CDC Outbox Transactional Consistency and Cache Invalidation critical for AI coding assistants?
Enforces strict transactional consistency between primary entity mutations and external OpenFGA relationship tuples using the Transactional Outbox pattern with Change Data Capture (CDC). Prevents dual-write race conditions, authorization drift, split-brain permission states, and stale cache authorization bypass vulnerabilities. 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 (Dual-Writing Inline OpenFGA Tuples within HTTP Handlers Causing Phantom Permissions and Cache Desynchronization) 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.