Loop and harness engineering is not another AI buzzword. In this masterclass, we move beyond the hype and focus on what it actually takes to build agents that work through tasks reliably. You’ll see how thoughtful loop design and the system around it can turn a promising demo into something capable of handling real work.
What you will learn
1
Building blocks of Loop & Harness Engineering
Learn how loops, sub-agents, controls, and feedback layers turn isolated agent tasks into reliable systems.
2
Loop Engineering: A Live Technical Deep Dive
Watch an agent loop in action and explore its tools, memory, stop rules, and self-checks.
3
Harness Engineering: A Live Technical Deep Dive
See how the components around an agent model are assembled into a working system through a live implementation.
About this session
Loop and harness engineering is not another AI buzzword. In this masterclass, we move beyond the hype and focus on what it actually takes to build agents that work through tasks reliably. You’ll see how thoughtful loop design and the system around it can turn a promising demo into something capable of handling real work.
The Gen Academy
Hosted by Aishwarya Srinivasan and Arvind Narayanamurthy.
Aishwarya Srinivasan
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.
Arvind Narayanamurthy
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.