Core Insights - The article discusses the transformative impact of AI on programming practices, highlighting a shift from traditional coding to AI-assisted development, particularly through tools like Claude Code [3][6][10]. Group 1: Changes in Work Practices - In 2025, the author experienced significant changes in their work style, moving from manual coding to relying heavily on AI tools for programming tasks [6][10]. - The author published 36 articles in a year, reflecting a newfound engagement with AI topics and a shift in focus towards AI-driven programming [7][9]. Group 2: AI Tools and Their Impact - The emergence of tools like Claude Code has revolutionized coding practices, allowing developers to automate routine tasks and focus on higher-level responsibilities [9][10]. - The integration of large language models (LLMs) with tool execution capabilities has proven to be highly effective, enhancing productivity and enabling new functionalities [10][12]. Group 3: Human-Machine Relationship - The article explores the evolving relationship between developers and AI, noting a tendency to anthropomorphize AI tools, which raises questions about their role and the emotional responses they elicit [12][13]. - There is a growing concern about the implications of assigning human-like qualities to machines, emphasizing the need for clarity in defining the relationship between humans and AI [12][13]. Group 4: Future Directions - The author identifies several areas for future development, including the need for new version control systems that can accommodate AI-generated code and improve collaboration [22][24]. - There is a call for innovative code review processes that align with AI workflows, as current systems are not compatible with the new programming paradigms introduced by AI [24][25]. - The potential for advancements in observability tools is highlighted, suggesting that LLMs could enhance the development of more user-friendly solutions in this area [25][26].