The article outlines a practical checklist for mobile developers using VibeCoding AI code generation, covering security, cost, compliance, reliability, performance, testing, and maintenance to ensure that fast‑generated demos become production‑ready apps without hidden risks.
The article analyzes how Kuikly integrates AI across the entire client‑side development lifecycle, identifies quality and complexity challenges, introduces a five‑part Harness Engineering framework, and details open‑source tools such as Rules, Skills, MCP and visual‑code agents that aim to make AI‑generated code reliable and production‑ready.
This article reveals the core methodology of applying AI coding to complex client-side development, discusses practical challenges, prompt design, task decomposition, efficiency improvements, and provides actionable guidelines and architectural rules for integrating AI into UI and service layers.
This article provides a comprehensive overview of the Model Context Protocol (MCP), explaining its origins, architecture, and how it standardises AI tool calling by enabling developers to build MCP servers and clients with TypeScript and Python, register resources, tools and prompts, and orchestrate model‑driven tool execution via JSON‑RPC.
This article provides a comprehensive overview of the Model Context Protocol (MCP), explaining its purpose in unifying AI tool calls, detailing its architecture, and walking through step‑by‑step development of MCP servers and clients with TypeScript and Python examples, while showcasing real‑world use cases and debugging tips.
