{"podcast":{"title":"Training Data","slug":"training-data","podcast_index_feed_id":null,"rss_url":"https://feeds.megaphone.fm/trainingdata","website_url":"https://www.sequoiacap.com/","image_url":"https://megaphone.imgix.net/podcasts/8ca8a61c-08b4-11ef-97ab-9fe273d59030/image/4a16fd33b06708003827556209cd42b7.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"Sequoia Capital","episode_count":104,"summary":"Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society. The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an offer to buy an interest in any investment fund.","last_synced_at":"2026-08-02T15:06:49.231983+00:00","page_url":"https://stenobird.com/podcast/training-data"},"episode":{"title":"Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase","slug":"context-engineering-our-way-to-long-horizon-agents-langchain-s-harrison-chase","published_at":"2026-01-21T10:00:00+00:00","page_url":"https://stenobird.com/podcast/training-data/context-engineering-our-way-to-long-horizon-agents-langchain-s-harrison-chase","show_page_url":"https://stenobird.com/podcast/training-data","url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI9761150620.mp3","audio_url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI9761150620.mp3","summary":"Harrison Chase, cofounder of LangChain and pioneer of AI agent frameworks, discusses the emergence of long-horizon agents that can work autonomously for extended periods. Harrison breaks down the evolution from early scaffolding approaches to today's harness-based architectures, explaining why context engineering - not just better models - has become fundamental to agent development. He shares insights on why coding agents are leading the way, the role of file systems in agent workflows, and how building agents differs from traditional software development - from the importance of traces as the new source of truth to memory systems that enable agents to improve themselves over time. Hosted by Sonya Huang and Pat Grady","meta_description":"Harrison Chase, cofounder of LangChain and pioneer of AI agent frameworks, discusses the emergence of long-horizon agents that can work autonomously for e…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2387,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/training-data/episodes/context-engineering-our-way-to-long-horizon-agents-langchain-s-harrison-chase/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/training-data/context-engineering-our-way-to-long-horizon-agents-langchain-s-harrison-chase.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}