This article examines how "vibe coding" – using LLMs to rapidly generate custom software – is transforming sensemaking and data visualization. Previously, bespoke tools demanded significant engineering resources or platform knowledge.
However, the emergence of AI has lowered these barriers, allowing users to create "disposable" interactive tools tailored to specific research tasks.
This empowers non-experts as "directors of design," but the author cautions against mindless trial-and-error, emphasizing the difference between exploratory tools for finding truth and classic visualizations for explaining it.
However, the emergence of AI has lowered these barriers, allowing users to create "disposable" interactive tools tailored to specific research tasks.
This empowers non-experts as "directors of design," but the author cautions against mindless trial-and-error, emphasizing the difference between exploratory tools for finding truth and classic visualizations for explaining it.
