Yiyu Shi
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This study analyzes over 20,000 real-world coding sessions to show that AI coding agents frequently fail users through subtle misalignment, requiring constant manual correction even when major system damage is avoided.
Agentic-J is a containerized, multi-agent AI assistant designed to enable biologists to perform complex, reproducible biological microscopy image analysis by specifying tasks in natural language.
Papers
Agentic-J: An AI Agent for Biological Microscopy Image Analysis
Lukas Johanns, Marilin Moor, Davide Panzeri, Yu Zhou +8 more
Agentic-J is a containerized, multi-agent AI assistant designed to enable biologists to perform complex, reproducible biological microscopy image analysis by specifying tasks in natural language.