How SwiftLee tackles AI in mobile performance
Showing 7 of 7 articles (Page 1 of 1)
Demonstrates how to use Model Context Protocol (MCP) to connect AI agents with product analytics data, enabling data-driven feature prioritization and optimization decisions.
An open-source Agent Skill for writing high-quality tests with Swift Testing framework, covering fundamentals, async testing, parameterization, performance optimization, and XCTest migration.
An open-source Agent Skill providing expert guidance on Core Data best practices, including threading, fetch optimization, CloudKit integration, migration strategies, and performance.
An open-source Agent Skill that helps AI agents build and refactor SwiftUI views with best practices, covering layout patterns, state management, performance optimization, and modern APIs.
Real-world insights from building a new iOS app with AI agents, covering tech debt management, environment setup, end-user testing, dependency validation, and naming strategy.
Practical lessons on using AI agents effectively for development, including planning mode, prompt engineering, Agent Skills adoption, code review discipline, and tool mastery.
Introduces Agent Skills as an open format for encapsulating domain expertise and best practices that can be reused across projects and shared with AI agents.