Architectural Invariant Design: KMP Skiko Compose Surface Destruction Reentrancy Barrier
KMP Skiko Compose Surface Destruction Reentrancy Barrier defines an industrial-grade behavioral standard for mobile engineering. Enforces strict atomic lifecycle synchronization between native display surfaces (Android SurfaceHolder/iOS CAMetalLayer) and the Skiko Skia rendering pipeline in Compose Multiplatform. Prevents native GPU context deadlocks (EGL/Metal), SIGSEGV access violations, and render-thread tearing during rapid fragment disposal, orientation changes, and back-navigation gestures. 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 | Unsynchronized native surface destruction triggering concurrent Skia render passes and UI thread deadlocks. | 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 implement an explicit atomic state machine (e.g., ATTACHED, INVALIDATING, DETACHED) to gate frame generation before notifying native surface destruction.
Engineers MUST ALWAYS implement an explicit atomic state machine (e.g., ATTACHED, INVALIDATING, DETACHED) to gate frame generation before notifying native surface destruction.
Engineers MUST NOT synchronously block the Main/UI thread (e.g., runBlocking, Thread.join, CountDownLatch.await) waiting for Skiko render loop completion inside surfaceDestroyed or viewDidDisappear.
Engineers MUST NOT synchronously block the Main/UI thread (e.g., runBlocking, Thread.join, CountDownLatch.await) waiting for Skiko render loop completion inside surfaceDestroyed or viewDidDisappear.
Code MUST cancel pending frame draw requests and drain or abort in-flight Skia command buffers before unbinding the native window/MetalLayer handle.
Code MUST cancel pending frame draw requests and drain or abort in-flight Skia command buffers before unbinding the native window/MetalLayer handle.
Services MUST ensure that native surface handles are marked invalid prior to triggering Skia context deconstruction to fail-fast inside any concurrent render pass.
Services MUST ensure that native surface handles are marked invalid prior to triggering Skia context deconstruction to fail-fast inside any concurrent render pass.
Components NEVER execute reentrant surface recreation callbacks while a teardown sequence is actively invalidating Skia or platform render resources.
Components NEVER execute reentrant surface recreation callbacks while a teardown sequence is actively invalidating Skia or platform render resources.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is KMP Skiko Compose Surface Destruction Reentrancy Barrier critical for AI coding assistants?
Enforces strict atomic lifecycle synchronization between native display surfaces (Android SurfaceHolder/iOS CAMetalLayer) and the Skiko Skia rendering pipeline in Compose Multiplatform. Prevents native GPU context deadlocks (EGL/Metal), SIGSEGV access violations, and render-thread tearing during rapid fragment disposal, orientation changes, and back-navigation gestures. 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 (Unsynchronized native surface destruction triggering concurrent Skia render passes and UI thread deadlocks.) 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.