Architectural Invariant Design: Kotlin Multiplatform 2.1 Swift Export ARC and Lifecycle Invariant
Kotlin Multiplatform 2.1 Swift Export ARC and Lifecycle Invariant defines an industrial-grade behavioral standard for mobile engineering. Enforces deterministic lifecycle boundaries and weak reference semantics across Kotlin Multiplatform 2.1 Direct Swift Export interfaces. Prevents permanent cross-runtime memory leaks caused by retain cycles bridging Swift Automatic Reference Counting (ARC) and Kotlin Native Garbage Collection (GC). 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 | Cross-Runtime Retain Cycles via Strong Closures and Unscoped Kotlin Export References in Swift | 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 capture Swift dependencies weakly (`[weak self]`) within closures passed across Swift Export boundaries into Kotlin.
Engineers MUST ALWAYS capture Swift dependencies weakly (`[weak self]`) within closures passed across Swift Export boundaries into Kotlin.
Engineers MUST NOT store strong Kotlin exported instances inside Swift closures or long-lived singletons that are directly or indirectly observed by that same Kotlin instance.
Engineers MUST NOT store strong Kotlin exported instances inside Swift closures or long-lived singletons that are directly or indirectly observed by that same Kotlin instance.
Code SHOULD enforce deterministic resource disassociation using an explicit `Disposable` or `cancellable` token pattern when bridging Kotlin flows or callbacks into Swift.
Code SHOULD enforce deterministic resource disassociation using an explicit `Disposable` or `cancellable` token pattern when bridging Kotlin flows or callbacks into Swift.
Services MUST explicitly clear callback references and event listeners in Kotlin when a lifecycle scope completes or when Swift components signal teardown in `deinit`.
Services MUST explicitly clear callback references and event listeners in Kotlin when a lifecycle scope completes or when Swift components signal teardown in `deinit`.
Components NEVER bridge bi-directional delegate relationships across the Swift Export boundary without making at least one leg of the bridge a `WeakReference` on the Kotlin side or `weak` on the Swift side.
Components NEVER bridge bi-directional delegate relationships across the Swift Export boundary without making at least one leg of the bridge a `WeakReference` on the Kotlin side or `weak` on the Swift side.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Kotlin Multiplatform 2.1 Swift Export ARC and Lifecycle Invariant critical for AI coding assistants?
Enforces deterministic lifecycle boundaries and weak reference semantics across Kotlin Multiplatform 2.1 Direct Swift Export interfaces. Prevents permanent cross-runtime memory leaks caused by retain cycles bridging Swift Automatic Reference Counting (ARC) and Kotlin Native Garbage Collection (GC). 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 (Cross-Runtime Retain Cycles via Strong Closures and Unscoped Kotlin Export References in Swift) 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.