Architectural Invariant Design: Kotlin Multiplatform (KMP) Architecture Standard
Kotlin Multiplatform (KMP) Architecture Standard defines an industrial-grade behavioral standard for mobile engineering. Guardrails for Kotlin Multiplatform: isolate platform specifics behind expect/actual, share 100% of domain and data layers, and manage Ktor HTTP client engines per platform. 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 | AI leaks Android/iOS platform APIs into commonMain, causing multiplatform compilation failure. | High | 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:
commonMain must remain strictly platform-agnostic
commonMain must remain strictly platform-agnostic; no java.* or platform-specific libraries.
Use Ktor Client with platform-specific engines (OkHttp for Android, Darwin for iOS).
Use Ktor Client with platform-specific engines (OkHttp for Android, Darwin for iOS).
Share database operations using SQLDelight or Room KMP across Android and iOS.
Share database operations using SQLDelight or Room KMP across Android and iOS.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Kotlin Multiplatform (KMP) Architecture Standard critical for AI coding assistants?
Guardrails for Kotlin Multiplatform: isolate platform specifics behind expect/actual, share 100% of domain and data layers, and manage Ktor HTTP client engines per platform. 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 (AI leaks Android/iOS platform APIs into commonMain, causing multiplatform compilation failure.) 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.