Core Insights - The article discusses the transformation in application development due to advancements in AI technology, particularly large models and intelligent agents, which are bridging the gap between business needs and IT capabilities [2][11]. Group 1: AI and Low-Code/No-Code Platforms - The emergence of AI is evolving low-code/no-code platforms from simple drag-and-drop tools to intelligent partners that can understand and assist in application development [2][3]. - AI can now assist in building applications by generating prototypes based on natural language descriptions provided by business users, significantly lowering the development barrier [5][11]. - The integration of AI with low-code platforms enhances their visual and modular capabilities, making them the most efficient path for AI to empower business processes [3]. Group 2: Intelligent Data Analysis and Automation - AI enables intelligent data analysis, allowing users to ask questions directly and receive visual data representations without needing technical skills, thanks to natural language query (NLQ) technology [7]. - AI can automate approval processes by recommending workflow settings based on historical data, transforming decision-making from subjective to data-driven [9]. - The combination of AI and low-code platforms aims to liberate creativity across all business functions, enabling experts in various fields to directly translate their knowledge into digital systems without needing to communicate through IT [11].