Architectural Invariant Design: Compose Multiplatform Skiko GPU Context Loss Recovery & Surface Lifecycle Standard
Compose Multiplatform Skiko GPU Context Loss Recovery & Surface Lifecycle Standard defines an industrial-grade behavioral standard for mobile engineering. Enforces deterministic teardown and recreation of Skiko render targets across mobile display lifecycle transitions. Eliminates silent render pipeline freezes, black screens, and native SIGSEGV crashes caused by stale Metal or Vulkan GrDirectContext handles when mobile operating systems reclaim hardware display buffers. 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 | Silent Skiko Render Loop Stall via Stale Hardware Context Retention and Unhandled Metal/Vulkan Surface Invalidation | 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 invalidate, abandon, or purge stale `org.jetbrains.skia.DirectContext` allocations immediately upon receiving native mobile lifecycle suspension signals (`onStop` on Android, `applicationDidEnterBackground` on iOS).
Engineers MUST ALWAYS invalidate, abandon, or purge stale `org.jetbrains.skia.DirectContext` allocations immediately upon receiving native mobile lifecycle suspension signals (`onStop` on Android, `applicationDidEnterBackground` on iOS).
Engineers MUST NOT cache hardware-backed `org.jetbrains.skia.Image`, `org.jetbrains.skia.Surface`, or `org.jetbrains.skia.Shader` instances in long-lived singletons or across Compose recomposition boundaries without an explicit generation/epoch token.
Engineers MUST NOT cache hardware-backed `org.jetbrains.skia.Image`, `org.jetbrains.skia.Surface`, or `org.jetbrains.skia.Shader` instances in long-lived singletons or across Compose recomposition boundaries without an explicit generation/epoch token.
Code SHOULD intercept `RenderException` and native surface allocation failures within custom Skiko rendering delegates to trigger a graceful fallback to a fresh swapchain before re-throwing.
Code SHOULD intercept `RenderException` and native surface allocation failures within custom Skiko rendering delegates to trigger a graceful fallback to a fresh swapchain before re-throwing.
Services MUST re-evaluate `SkiaLayer.needRedraw()` and re-trigger surface configuration when returning from background states to prevent deadlocks in the display link loop.
Services MUST re-evaluate `SkiaLayer.needRedraw()` and re-trigger surface configuration when returning from background states to prevent deadlocks in the display link loop.
Components NEVER hold strong references to `SkiaLayer` or native platform display layers inside unmanaged coroutines or global state handlers.
Components NEVER hold strong references to `SkiaLayer` or native platform display layers inside unmanaged coroutines or global state handlers.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Compose Multiplatform Skiko GPU Context Loss Recovery & Surface Lifecycle Standard critical for AI coding assistants?
Enforces deterministic teardown and recreation of Skiko render targets across mobile display lifecycle transitions. Eliminates silent render pipeline freezes, black screens, and native SIGSEGV crashes caused by stale Metal or Vulkan GrDirectContext handles when mobile operating systems reclaim hardware display buffers. 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 (Silent Skiko Render Loop Stall via Stale Hardware Context Retention and Unhandled Metal/Vulkan Surface Invalidation) 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.