Architectural Invariant Design: OpenFGA CDC-Driven Distributed Consistency and Invalidation Invariant
OpenFGA CDC-Driven Distributed Consistency and Invalidation Invariant defines an industrial-grade behavioral standard for security engineering. Enforces strict causal consistency between relational OLTP state mutations and OpenFGA authorization relationship tuples via transactional outbox Change Data Capture (CDC). Prevents critical authorization bypass windows and privilege escalation vulnerabilities resulting from asynchronous dual-writes, out-of-order tuple propagation, and race conditions against distributed authorization check caches. 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 to OpenFGA and Asynchronous Cache Eviction Without Transactional Outbox CDC Ordering | 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 synchronous calls to OpenFGA (`fgaClient.write`) within transactional application write flows (dual-write anti-pattern).
Engineers MUST NEVER perform direct synchronous calls to OpenFGA (`fgaClient.write`) within transactional application write flows (dual-write anti-pattern).
Services MUST persist relational business state mutations and OpenFGA tuple change intents atomically within the same database transaction via an Outbox table.
Services MUST persist relational business state mutations and OpenFGA tuple change intents atomically within the same database transaction via an Outbox table.
CDC consumer pipelines MUST maintain strict partition keying (e.g., partitioned by entity type and ID) to preserve strict causal ordering when propagating changes from the Outbox stream to OpenFGA.
CDC consumer pipelines MUST maintain strict partition keying (e.g., partitioned by entity type and ID) to preserve strict causal ordering when propagating changes from the Outbox stream to OpenFGA.
Engineers MUST invalidate distributed check caches (e.g., Redis or local memoization) before or simultaneously with the committed write to OpenFGA, using monotonic stream sequence numbers or timestamps as causal fencing tokens.
Engineers MUST invalidate distributed check caches (e.g., Redis or local memoization) before or simultaneously with the committed write to OpenFGA, using monotonic stream sequence numbers or timestamps as causal fencing tokens.
Components performing authorization checks MUST propagate or evaluate the latest causal barrier token (e.g., Log Sequence Number or monotonic revision ID) to prevent reading from a replica or cached tuple state older than the current transaction boundary.
Components performing authorization checks MUST propagate or evaluate the latest causal barrier token (e.g., Log Sequence Number or monotonic revision ID) to prevent reading from a replica or cached tuple state older than the current transaction boundary.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is OpenFGA CDC-Driven Distributed Consistency and Invalidation Invariant critical for AI coding assistants?
Enforces strict causal consistency between relational OLTP state mutations and OpenFGA authorization relationship tuples via transactional outbox Change Data Capture (CDC). Prevents critical authorization bypass windows and privilege escalation vulnerabilities resulting from asynchronous dual-writes, out-of-order tuple propagation, and race conditions against distributed authorization check caches. 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 to OpenFGA and Asynchronous Cache Eviction Without Transactional Outbox CDC Ordering) 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.