Architectural Invariant Design: KMP Compose Skiko Render Thread GPU Surface Loss Recovery Standard
KMP Compose Skiko Render Thread GPU Surface Loss Recovery Standard defines an industrial-grade behavioral standard for mobile engineering. Enforces deterministic teardown and re-instantiation of hardware-accelerated Skia surfaces during Android configuration changes and iOS lifecycle suspensions. Prevents fatal native GPU context corruption, driver deadlocks, and Metal/Vulkan memory leaks across cross-platform render delegate transitions. 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 | Asynchronous Surface Teardown and Leaked Skia DirectContext Across Lifecycle Transitions | 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 synchronize GPU surface destruction with the Skiko render thread using blocking rendezvous primitives before returning from Android `SurfaceHolder.Callback.surfaceDestroyed` or iOS `applicationDidEnterBackground`.
Engineers MUST ALWAYS synchronize GPU surface destruction with the Skiko render thread using blocking rendezvous primitives before returning from Android `SurfaceHolder.Callback.surfaceDestroyed` or iOS `applicationDidEnterBackground`.
Engineers MUST synchronously call `DirectContext.abandon()` or `DirectContext.flushAndSubmit(syncCpu = true)` followed by release routines before destroying native `ANativeWindow` or unbinding `CAMetalLayer` instances.
Engineers MUST synchronously call `DirectContext.abandon()` or `DirectContext.flushAndSubmit(syncCpu = true)` followed by release routines before destroying native `ANativeWindow` or unbinding `CAMetalLayer` instances.
Engineers MUST NOT execute rendering calls on a background coroutine or detached thread without acquiring the target surface lifecycle lock.
Engineers MUST NOT execute rendering calls on a background coroutine or detached thread without acquiring the target surface lifecycle lock.
Code SHOULD encapsulate Skia `DirectContext` and backing target `RenderTarget` creation inside an idempotent, transactional factory that cleanly handles `VK_ERROR_SURFACE_LOST_KHR` and Metal drawable acquisition failures.
Code SHOULD encapsulate Skia `DirectContext` and backing target `RenderTarget` creation inside an idempotent, transactional factory that cleanly handles `VK_ERROR_SURFACE_LOST_KHR` and Metal drawable acquisition failures.
Components NEVER store persistent static references to `SkiaLayer`, `GrDirectContext`, `MTLCommandQueue`, or `VkQueue` across Android Activity recreation or iOS UIWindow scene disconnection.
Components NEVER store persistent static references to `SkiaLayer`, `GrDirectContext`, `MTLCommandQueue`, or `VkQueue` across Android Activity recreation or iOS UIWindow scene disconnection.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is KMP Compose Skiko Render Thread GPU Surface Loss Recovery Standard critical for AI coding assistants?
Enforces deterministic teardown and re-instantiation of hardware-accelerated Skia surfaces during Android configuration changes and iOS lifecycle suspensions. Prevents fatal native GPU context corruption, driver deadlocks, and Metal/Vulkan memory leaks across cross-platform render delegate transitions. 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 (Asynchronous Surface Teardown and Leaked Skia DirectContext Across Lifecycle Transitions) 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.