YouTubeleerobOctober 16, 2026
Stanford CS146S: How always-on agents work
The clearest end-to-end architecture of an always-on agent, from its builder.
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Product & Design
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YouTubeLenny's PodcastOctober 7, 2026
What product looks like when coding is solved | Geoff Charles (Ramp CPO)
The bottleneck never dies, it moves — and Ramp automates each new one in place.
YouTubePeter YangOctober 7, 2026
How to Use AI to Survive (and Even Enjoy) Meetings | Sam Stephenson
Granola's co-founder demos the meeting stack his team actually runs.
YouTubeLatent SpaceOctober 2, 2026
The Future of Claude Code: Mods, Mutable Software, & Multiplayer Agents — Thariq Shihipar, Anthropic
Anthropic's Claude Code insider on where agentic coding goes next.
YouTubeLenny's PodcastOctober 2, 2026
Stop planning for 2027: how OpenAI builds product 90 days at a time | Tara Sesha and Nan Yu (OpenAI)
OpenAI product leads on shipping at model speed: plan 90 days, not years.
YouTubeThe Pragmatic EngineerSeptember 24, 2026
Design Engineering with Maggie Appleton
A GitHub Next research engineer rebuilds design practice for the agent era.
YouTubeAI EngineerSeptember 24, 2026
The Dark Arts of Skill Engineering — Paul Bakaus, Renaissance Geek (Impeccable)
Prompting is the floor; harness engineering is the ceiling.
Dhravya ShahSeptember 23, 2026
I reverse-engineered Instinct's memory. Here's exactly how it works
A clear reverse-engineer of Instinct's git-Markdown agent memory.
YouTubeLenny's PodcastSeptember 21, 2026
90 minutes of unfiltered product advice from Snap and Discord's product chief | Peter Sellis
Unfiltered product judgment from Snap and Discord's ex-product chief.
YouTubePeter YangSeptember 16, 2026
Stop Building AI Agents. Build AI Employees Instead (Live Demo) | Pedro Franceschi
A working alternative to open-ended agents: AI employees with jobs and budgets.
YouTubeLenny's PodcastSeptember 13, 2026
Why companies are becoming a series of loops | Anish Acharya (a16z)
The durable advantage is a set of compounding loops, not a single funnel.