Architectural Invariant Design: Compose Multiplatform Skia Texture Deterministic Disposal and Context Eviction
Compose Multiplatform Skia Texture Deterministic Disposal and Context Eviction defines an industrial-grade behavioral standard for mobile engineering. Enforces deterministic disposal and reference-counted lifecycle tracking of unmanaged native Skia textures and surfaces across platform window context loss. Prevents silent native off-heap memory leaks and driver SIGSEGV crashes caused by garbage collection delays during Android Surface destruction, iOS MetalKit unbinding, and desktop window resizing. 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 Raw Skia Native Pointers in Compose Memory Caches Without Explicit GPU Eviction | 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 wrap Skia native graphics primitives (Image, Surface, Bitmap) in ref-counted wrappers implementing AutoCloseable.
Engineers MUST ALWAYS wrap Skia native graphics primitives (Image, Surface, Bitmap) in ref-counted wrappers implementing AutoCloseable.
Engineers MUST ALWAYS invoke .close() synchronously on underlying Skia allocations inside DisposableEffect onDispose blocks or when evicted from LRU memory caches.
Engineers MUST ALWAYS invoke .close() synchronously on underlying Skia allocations inside DisposableEffect onDispose blocks or when evicted from LRU memory caches.
Engineers MUST NOT rely on Kotlin/Native WeakReference, FinalizationRegistry, or JVM/ART finalize() to evict GPU textures.
Engineers MUST NOT rely on Kotlin/Native WeakReference, FinalizationRegistry, or JVM/ART finalize() to evict GPU textures.
Components NEVER store naked Skia Image or Surface instances in standard Composition remember { mutableStateOf(...) } blocks without attaching a deterministic cleanup lifecycle.
Components NEVER store naked Skia Image or Surface instances in standard Composition remember { mutableStateOf(...) } blocks without attaching a deterministic cleanup lifecycle.
Services MUST register lifecycle listeners to native surface destruction (Android SurfaceHolder.Callback, iOS Metal view controller transitions) to flush and invalidate GPU texture caches before the rendering context is invalidated.
Services MUST register lifecycle listeners to native surface destruction (Android SurfaceHolder.Callback, iOS Metal view controller transitions) to flush and invalidate GPU texture caches before the rendering context is invalidated.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Compose Multiplatform Skia Texture Deterministic Disposal and Context Eviction critical for AI coding assistants?
Enforces deterministic disposal and reference-counted lifecycle tracking of unmanaged native Skia textures and surfaces across platform window context loss. Prevents silent native off-heap memory leaks and driver SIGSEGV crashes caused by garbage collection delays during Android Surface destruction, iOS MetalKit unbinding, and desktop window resizing. 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 Raw Skia Native Pointers in Compose Memory Caches Without Explicit GPU Eviction) 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.