I hosted Colin Flaherty, previously a founding engineer at Augment and co-author of Meta's Cicero AI, to discuss autonomous coding agents and retrieval systems. This session explores how agentic approaches are transforming traditional RAG systems, what we can learn from state-of-the-art coding agents, and how these insights might apply to other domains.
I hosted a session with Walden Yan, co-founder and CPO of Cognition, to explore why multi-agent systems might not be the optimal approach for coding contexts. We discussed the theory of context engineering, the challenges of context passing between agents, and how single agents with proper context management can often outperform multi-agent setups.
I hosted a discussion with Nik Pash, head of AI at Cline, about his viral essay "Why I No Longer Recommend RAG for Autonomous Coding Agents." We explored why embedding-based retrieval systems are being abandoned by leading coding agent companies in favor of more direct, agentic approaches to code exploration.
I hosted a session with Beyang Liu, CTO of Sourcegraph, to explore how the evolution of AI models has fundamentally changed how we should approach building agent systems. This discussion revealed why many best practices from the chat LLM era are becoming obsolete, and how the architecture of effective agents requires rethinking context management, tool design, and model selection from first principles.