
Daisy Hollman
Member of Technical Staff · Anthropic
Daisy works on Claude Code's plugins, agent teams and skills. Her background includes C++ standards work and a doctorate in theoretical quantum chemistry.
Recorded on
with Aishwarya Srinivasan, Arvind Narayanamurthy
Daisy Hollman examines why coding agents struggle in large teams and how automated checks, shared context and reusable team conventions can reduce the human review burden.
Spot missing access, expensive context and review overload.
Combine tests, linting and runtime checks into repeatable feedback.
Apply maintained skills, hooks and session triage across a team.
Daisy Hollman examines why coding agents struggle in large teams and how automated checks, shared context and reusable team conventions can reduce the human review burden.

Member of Technical Staff · Anthropic
Daisy works on Claude Code's plugins, agent teams and skills. Her background includes C++ standards work and a doctorate in theoretical quantum chemistry.
Hosted by Aishwarya Srinivasan and Arvind Narayanamurthy.
AI Advisor / AI Educator
Aishwarya Srinivasan is the Co-Founder of The Gen Academy and a Developer Relations Lead at Nebius. Her experience spans Fireworks AI, Microsoft for Startups, Google Cloud and IBM, where she worked with developers and businesses on practical AI and machine-learning solutions. She holds a postgraduate degree in Data Science from Columbia University and teaches AI engineering, applied machine learning, generative AI and LLMOps.
Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM
Arvind brings a cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe, where he led data science teams and developed production-grade machine-learning solutions. He has built and deployed enterprise AI systems and focuses on translating AI concepts into practical, production-ready solutions. He holds a Master's from Carnegie Mellon University.