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How to Build Planning Agents without losing control - Yogendra Miraje, Factset
AI Engineer· 2025-07-23 15:51
[Music] Hi everyone, I'm Yogi. I work at Faxet, a financial data and software company. And today I'll be sharing some of my experience while building agent.In last few years we have seen tremendous growth in AI and especially in last couple of years we are on exponential curve of intelligence growth and yet it feels like when we are develop AI applications driving a monster truck through a crowded mall with a tiny joysticks. So AI applications have not seen its charge GPD moment yet. There are many reasons ...
Factory Co-Founder & CTO on Building Reliable AI Agents | LangChain Interrupt
LangChain· 2025-06-18 18:40
Core Idea - Factory believes software development is transitioning to agent-driven from human-driven [1] - To achieve significant productivity gains (5-20x), a shift from collaborating with AI to delegating tasks entirely to AI is needed [3] - Factory is building a platform for managing and scaling AI agents, integrating various engineering systems [3][4][5] Agentic System Characteristics - Agentic systems require planning to decide future actions [11] - Decision-making is crucial for agents to make calls based on the existing state [13][14] - Environmental grounding is necessary for agents to interact with and adapt to the external environment [14] Human-AI Collaboration - Humans will remain in software development, focusing on the outer loop (reasoning, requirements) [15][16] - Agents will handle the inner loop (coding, testing, code review) [17] - AI UX should blend delegation with control for situations where agents cannot complete tasks [17] Agent Reliability - Clear planning and boundaries are essential for reliable agents [32] - Subtask decomposition, model predictive control, and explicit plan templating can improve planning [19][20] - Control over the tools agents use is the most important differentiator in agent reliability [28] Environmental Interaction - New AI computer interfaces are needed for agents to interact with the world [28] - Processing information from the environment is crucial for complex systems [29][30] - Agents need to ground themselves in the environment to perform full software development work [32] Call to Action - Factory encourages teams not delegating at least 50% of engineering tasks to AI agents to engage with them [34]