Review AI-generated Swift and iOS engineering solutions for correctness, maintainability, performance, UI logic quality, and architectural soundness
Evaluate step-by-step reasoning, debugging workflows, and implementation quality behind Swift and iOS-focused AI-generated responses
Analyze Swift codebases for issues related to memory management, ARC behavior, UI rendering logic, state handling, asynchronous workflows, and architectural design
Assess solutions for adherence to prompt requirements, Swift best practices, mobile engineering standards, and production-quality implementation patterns
Identify methodological errors, incorrect assumptions, performance bottlenecks, concurrency issues, lifecycle problems, and flawed UI behavior in Swift/iOS solutions
Write high-quality technical explanations and reference implementations demonstrating idiomatic Swift and modern iOS development practices