Architectural Invariant Design: OpenFGA Real-Time CDC Authorization Cache Coherence Standard
OpenFGA Real-Time CDC Authorization Cache Coherence Standard defines an industrial-grade behavioral standard for security engineering. Enforces sub-millisecond distributed cache invalidation for OpenFGA check evaluations via PostgreSQL Logical Decoding (CDC) or Debezium outbox streams. Guarantees that transactional relation-tuple mutations publish strongly-ordered invalidation events, preventing authorization read-after-write privilege desynchronization 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 Cache Invalidations Directly in Application Handlers Without Transactional CDC | 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 invalidate distributed authorization caches via Change Data Capture (CDC) streams tied to the relation tuple transaction commit log (WAL) rather than inline best-effort HTTP handler calls.
Engineers MUST ALWAYS invalidate distributed authorization caches via Change Data Capture (CDC) streams tied to the relation tuple transaction commit log (WAL) rather than inline best-effort HTTP handler calls.
Engineers MUST NOT cache OpenFGA Check API responses using un-versioned or generic entity keys that do not account for transitive graph relations and context.
Engineers MUST NOT cache OpenFGA Check API responses using un-versioned or generic entity keys that do not account for transitive graph relations and context.
Services MUST publish transactional outbox events or consume PostgreSQL pgoutput CDC events synchronously with relation tuple writes to eliminate read-after-write privilege drift windows.
Services MUST publish transactional outbox events or consume PostgreSQL pgoutput CDC events synchronously with relation tuple writes to eliminate read-after-write privilege drift windows.
Cache eviction consumers MUST implement idempotent Lua scripts or pipeline bulk evictions in Redis using exact canonical tuple matchers (`fga
Cache eviction consumers MUST implement idempotent Lua scripts or pipeline bulk evictions in Redis using exact canonical tuple matchers (`fga:check:{user}:{relation}:{object}`).
Services MUST enforce bounded TTLs (max 15-30 seconds) on OpenFGA Check evaluation caches as a secondary failsafe against dropped CDC stream partitions.
Services MUST enforce bounded TTLs (max 15-30 seconds) on OpenFGA Check evaluation caches as a secondary failsafe against dropped CDC stream partitions.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is OpenFGA Real-Time CDC Authorization Cache Coherence Standard critical for AI coding assistants?
Enforces sub-millisecond distributed cache invalidation for OpenFGA check evaluations via PostgreSQL Logical Decoding (CDC) or Debezium outbox streams. Guarantees that transactional relation-tuple mutations publish strongly-ordered invalidation events, preventing authorization read-after-write privilege desynchronization 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 Cache Invalidations Directly in Application Handlers Without Transactional CDC) 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.