What Does “Following Best Practices” Mean in the Age of AI?

The growing integration of generative AI tools into core workflows is forcing a reevaluation of what constitutes "best practices" for data and machine learning professionals. This shift emphasizes focusing on skills where humans maintain an advantage over LLM-based assistants. The content serves as a curated list of recent articles exploring this theme, covering topics like model context protocol (MCP) security, the value of software development skills in data science, and advice for starting a career in ML. It also highlights popular tutorials on context engineering, agentic AI, and generating structured outputs from LLMs.