Architectural Invariant Design: KMP Native Coroutines Memory-Leak Immunity Standard
KMP Native Coroutines Memory-Leak Immunity Standard defines an industrial-grade behavioral standard for mobile engineering. Enforces strict lifecycle boundaries and deterministic cancellation contracts between Kotlin Multiplatform Coroutines and Swift/Objective-C runtime memory management. Eliminates uncollected ARC reference cycles and detached Job retention across Apple native foreign-function interfaces by mandating explicit disposable tokens and scope deallocation hooks. 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 Job Continuations via Escaping Swift Closures and Strong Scope Capture | 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 expose a deterministic cancellation handle (e.g., CancellationToken, Closeable, or JobDisposable) for any Kotlin Coroutine or Flow bridge consumed by Swift.
Engineers MUST ALWAYS expose a deterministic cancellation handle (e.g., CancellationToken, Closeable, or JobDisposable) for any Kotlin Coroutine or Flow bridge consumed by Swift.
Engineers MUST NOT capture strong self references inside Swift completion handlers or async iterators bridging Kotlin Coroutine continuations.
Engineers MUST NOT capture strong self references inside Swift completion handlers or async iterators bridging Kotlin Coroutine continuations.
Code MUST bind Kotlin CoroutineScope lifecycles directly to host platform components (such as SwiftUI .task / onDisappear or UIViewController deinit) ensuring job.cancel() execution on teardown.
Code MUST bind Kotlin CoroutineScope lifecycles directly to host platform components (such as SwiftUI .task / onDisappear or UIViewController deinit) ensuring job.cancel() execution on teardown.
Services MUST leverage KMP-NativeCoroutines (@NativeCoroutines, @NativeCoroutineScope) or custom Disposable wrappers to guarantee unregistration of continuous streams when the native UI detaches.
Services MUST leverage KMP-NativeCoroutines (@NativeCoroutines, @NativeCoroutineScope) or custom Disposable wrappers to guarantee unregistration of continuous streams when the native UI detaches.
Components NEVER bridge raw GlobalScope or Unconfined CoroutineContexts to native iOS callers without an explicit parent Job.
Components NEVER bridge raw GlobalScope or Unconfined CoroutineContexts to native iOS callers without an explicit parent Job.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is KMP Native Coroutines Memory-Leak Immunity Standard critical for AI coding assistants?
Enforces strict lifecycle boundaries and deterministic cancellation contracts between Kotlin Multiplatform Coroutines and Swift/Objective-C runtime memory management. Eliminates uncollected ARC reference cycles and detached Job retention across Apple native foreign-function interfaces by mandating explicit disposable tokens and scope deallocation hooks. 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 Job Continuations via Escaping Swift Closures and Strong Scope Capture) 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.