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40:33EN
All-In Podcast· 2026년 10월 19일팟캐스트 · 2명Dylan Field on Figma, AI and Why Design Still Matters게스트 Dylan FieldThe Figma CEO discusses the failed Adobe acquisition, competition from AI model providers and the role of human intention in creative work.제품과 UXGenerative mediaProduct Strategy
1:19:50EN
20VC with Harry Stebbings· 2026년 10월 19일팟캐스트 · 2명Sameer Dholakia on AI Investing, Bessemer's Growth Strategy and Company Culture게스트 Sameer Dholakia · 진행자 Harry StebbingsThe Bessemer partner explains his approach to pricing fast-growing AI companies, backing founders and building teams, while discussing the risks behind his optimistic forecasts.Venture CapitalAI StrategyLeadership+2
슬라이드 5장1:01:04EN
AI Engineer· 2026년 10월 18일Nick Nisi and Zack Proser: Give Coding Agents Evidence That Their Work Is DoneNick Nisi, Zack Proser · WorkOSA WorkOS workshop uses a broken waitlist to show how repeatable checks, receipts and evaluations support agent-assisted development.코딩 에이전트개발 워크플로와 테스트평가(Evals)+2
슬라이드 4장31:47EN
Theo - t3․gg· 2026년 10월 18일Theo on Asking Agents for Outcomes and Building the Tools They NeedTheo Browne · Ping LabsA tool-call report, a troubleshooting playbook and connected data show how prompting can reshape product engineering.Prompting & in-context learning코딩 에이전트에이전트 엔지니어링+2
슬라이드 5장44:30EN
AI Engineer· 2026년 10월 18일Denys Linkov: Making Messy Insurance Claims Data Useful for AIDenys Linkov · WisedocsWisedocs’ AI leader describes duplicate records, missing evidence, evaluation and the path from individual medical claims to portfolio insights.AI in healthcareData quality & curation평가(Evals)+2
슬라이드0:22EN
Matthew Berman· 2026년 10월 18일DeepSeek's Memory Use: A Short Claim About KV CacheMatthew Berman · Forward FutureMatthew Berman links lower cache memory use to serving more tokens, but the excerpt does not state the comparison behind its figures.KV caching & prefix reuseInference인프라와 배포
슬라이드 4장49:35EN
AI Engineer· 2026년 10월 18일OpenProse: Declaring Outcomes for Event-Driven Agent WorkflowsDan Barrett, Raymond Weitekamp · OpenProseDan Barrett and Raymond Weitekamp demonstrate Markdown contracts, pull-request review and financial model documentation.Agent orchestrationMulti-agent systemsWorkflow automation+2
슬라이드 3장0:42EN
Matthew Berman· 2026년 10월 17일Matthew Berman Tests a Gemini 4 Argon Fall Guys-Style GameMatthew Berman · Forward FutureA short playthrough shows a colorful obstacle course after a few rounds of iteration, with Berman assessing its gameplay and collisions.Vibe Coding코딩 에이전트Software engineering+1
슬라이드 2장1:34:06EN
All-In Podcast· 2026년 10월 17일팟캐스트 · 4명AI Infrastructure Debt, Anthropic’s IPO and a Debate Over Safety게스트 Ben Horowitz · 진행자 Jason Calacanis, Chamath Palihapitiya, David SacksThe All-In panel and Ben Horowitz assess a selloff in AI infrastructure, software economics and disputed claims about model safety.AI cost & performance인프라와 배포Investing+1
슬라이드0:58EN
Matthew Berman· 2026년 10월 17일A 20-Minute Spreadsheet Prototype Built with Gemini 4 ArgonMatthew Berman · Forward FutureMatthew Berman tests a browser spreadsheet prototype on simple formulas and reflects on how AI could change software costs.코딩 에이전트Software engineeringProduct Strategy
1:37:07EN
Y Combinator· 2026년 10월 17일AI Safety as Engineering: Proofs, Stress Tests and Incident InvestigationClark Barrett, Mykel KochenderferStanford researchers discuss formal methods and safety-critical evaluation at YC Paper Club.AI SafetyCode review & verification평가(Evals)
슬라이드 5장55:24EN
AI Engineer· 2026년 10월 17일Eugene Cheah: Measuring and Right-Sizing AI Inference CostsEugene Cheah · Featherless AIFeatherless AI’s founder discusses workload measurement, model selection, capacity planning and the human processes around generated work.AI cost & performanceInferenceModel routing & gateways+2
슬라이드 5장1:56:13EN
AI Engineer· 2026년 10월 17일Laurie Voss: Building an Evaluation Loop for AI AgentsLaurie Voss · Arize AIA Phoenix workshop traces a deliberately flawed financial-analysis agent, tests evaluators and compares changes without mistaking a score for proof.평가(Evals)평가와 관측 가능성에이전트 엔지니어링+2
슬라이드 6장51:48EN
AI Engineer· 2026년 10월 17일Nacho Martinez: Designing Memory-Aware Agent Harnesses for AMLNacho Martinez · OracleAn Oracle workshop uses a simulated bank to explain agent loops, memory, tool discovery and human review.Agent memory에이전트 엔지니어링금융 AI+2
43:25EN
AI Engineer· 2026년 10월 17일How Should Agent Authorization Reflect the User’s Intent?Allie Howe, Ian Livingstone, Michael Davis, Dick Hardt · KeycardA panel from Keycard, JPMorgan Chase and AAuth discusses missions, budgets, sandbox boundaries and independent audit records.AI security에이전트 엔지니어링보안과 안전+2
1:25:56EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 17일팟캐스트Claude Changed the Password. The Steering Wheel Was Already Optional진행자 Nathan LabenzNathan Labenz and Prakash Narayanan spend a week on agents that can lock you out, models that dodge a feeling they deny having, and formal proofs that found Linux bugs.에이전트안전과 거버넌스에이전트 엔지니어링+3
1:03:05EN
20VC with Harry Stebbings· 2026년 10월 17일팟캐스트 · 2명Harrison Chase on Building Reliable Agents, Model Routing and Memory게스트 Harrison Chase · 진행자 Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.AI agentsAgent orchestration평가(Evals)+2
1:05:49EN
Hard Fork· 2026년 10월 16일팟캐스트 · 4명Journalists Revisit Elizabeth Holmes Through a New Documentary게스트 John Carreyrou, Caitlin Roper, Erin Griffith · 진행자 Max ReadMax Read and three reporters discuss what access to a subject can and cannot reveal.HistoryAI Strategy
슬라이드 6장1:41:43EN
AI Engineer· 2026년 10월 16일CJ Avilla and Harrison Stall: Coordinating and Containing Multi-Agent WorkflowsCJ Avilla, Harrison Stall · AnthropicAn Anthropic workshop demonstrates Flows, stock research, code review and controls for budgets, credentials and network access.Multi-agent systemsAgent orchestration에이전트 엔지니어링+2
슬라이드 5장48:04EN
Theo - t3․gg· 2026년 10월 16일Theo Explains Scion, Anthropic’s Source-Control System for Agent-Scale WorkTheo Browne · Ping LabsA deep dive into server-side changesets, layered caches, migration results and the limits of a bespoke Git alternative.Software engineering인프라와 배포코딩 에이전트+2
58:57EN
a16z· 2026년 10월 16일팟캐스트 · 2명Jad Naous and Martin Casado on AI Coding and Production Operations게스트 Jad Naous · 진행자 Martin CasadoA discussion of engineering workflows, observability and whether agents can investigate failures in complex running systems.관측 가능성과 안정성코딩 에이전트Software engineering+1
1:48:29EN
Jane Street· 2026년 10월 16일How AI Is Changing Programming: John Crepezzi and Ron MinskyYaron Minsky, John Crepezzi · Jane StreetJane Street’s AI tooling lead and the Signals and Threads host examine agent infrastructure, security, code review and the changing experience of writing software.코딩 에이전트Developer productivity평가(Evals)+2
1:15:20EN
Latent Space· 2026년 10월 16일팟캐스트 · 6명AI Power Users on Agents, Assistants and What Works게스트 Ben Davis, Ben Hylak, Dex Horthy, Allison Durham, Alex Volkov · 진행자 swyxA Latent Space roundtable on product design, context, trust and everyday delegation.에이전트 엔지니어링제품과 UXAI Safety
슬라이드 20장40:44EN
3Blue1Brown· 2026년 10월 16일Grant Sanderson: There's never been a better time to go into mathGrant Sanderson, Constantin Kogler · 3Blue1BrownStudents fear AI has solved mathematics. Grant Sanderson argues the opposite: even if machines prove theorems better than we do, the institution of math stays valuable—and this is a rare moment when newcomers can reshape it.MathematicsAI for scienceHuman-AI Collaboration+2
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