Architectural Invariant Design: KMP Native Darwin Coroutine Memory Ownership & Runloop Decoupling Standard
KMP Native Darwin Coroutine Memory Ownership & Runloop Decoupling Standard defines an industrial-grade behavioral standard for mobile engineering. Enforces strict unidirectional memory ownership and explicit scope teardown between Kotlin/Native coroutine runtimes and Apple platform ARC runloops. Prevents bidirectional reference cycles between Swift ARC-managed instances and Kotlin/Native GC roots that trigger worker thread exhaustion and process-level deadlocks. Guarantees non-blocking dispatch boundary isolation across Apple DispatchQueues and Kotlin Dispatchers. 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 | Retaining Long-Lived Kotlin Coroutine Scopes in Swift ARC Objects Without Cooperative Cancellation Hooks | 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 tie bridged Kotlin CoroutineScopes or Jobs directly to Darwin lifecycle boundaries (e.g., SwiftUI .task, UIViewController deinit, or Swift structured Concurrency Task.cancel).
Engineers MUST ALWAYS tie bridged Kotlin CoroutineScopes or Jobs directly to Darwin lifecycle boundaries (e.g., SwiftUI .task, UIViewController deinit, or Swift structured Concurrency Task.cancel).
Engineers MUST NOT capture strong Swift self references within escaping closures passed to Kotlin suspend functions or CoroutineScope builders.
Engineers MUST NOT capture strong Swift self references within escaping closures passed to Kotlin suspend functions or CoroutineScope builders.
Code MUST wrap long-lived Flow collectors on Darwin platforms in disposable handles or SKIE auto-cancelling wrappers to ensure swift deinit immediately cancels the underlying Kotlin Job.
Code MUST wrap long-lived Flow collectors on Darwin platforms in disposable handles or SKIE auto-cancelling wrappers to ensure swift deinit immediately cancels the underlying Kotlin Job.
Services MUST NEVER invoke Kotlin runBlocking on the Darwin Main Dispatch Queue (MainThread), as it produces fatal dispatch deadlocks with Apple's RunLoop.
Services MUST NEVER invoke Kotlin runBlocking on the Darwin Main Dispatch Queue (MainThread), as it produces fatal dispatch deadlocks with Apple's RunLoop.
Components NEVER expose raw global CoroutineScope (e.g., GlobalScope) across the Kotlin/Native boundary
Components NEVER expose raw global CoroutineScope (e.g., GlobalScope) across the Kotlin/Native boundary; all boundary entry points must accept or bind to a strictly bounded, cancellable Job hierarchy.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is KMP Native Darwin Coroutine Memory Ownership & Runloop Decoupling Standard critical for AI coding assistants?
Enforces strict unidirectional memory ownership and explicit scope teardown between Kotlin/Native coroutine runtimes and Apple platform ARC runloops. Prevents bidirectional reference cycles between Swift ARC-managed instances and Kotlin/Native GC roots that trigger worker thread exhaustion and process-level deadlocks. Guarantees non-blocking dispatch boundary isolation across Apple DispatchQueues and Kotlin Dispatchers. 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 (Retaining Long-Lived Kotlin Coroutine Scopes in Swift ARC Objects Without Cooperative Cancellation Hooks) 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.