AI Agents Write Perfect Code for Wrong Questions: State of Agentic Data Science Survey Launches
hugobowne · x · 2026-08-11
Several data science experts have launched the "State of Agentic Data Science 2026" survey to understand how AI agents are actually performing in real-world data work.
The survey focuses on common agent failure modes, such as:
- Writing perfectly running code that answers the wrong question
- Losing crucial context halfway through a workflow
- Producing plausible but entirely wrong outputs
The findings will be published to help the industry understand where agents excel, where they fail, and how practitioners verify their code and analysis.
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