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슬라이드 3장18:18EN
Matthew Berman· 2026년 11월 11일Fable 5.2 leads a week of model releases, but cost changes the choiceMatthew Berman · Forward FutureMatthew Berman compares Fable and Gemini Carbon, reviews smaller models and discusses Nvidia’s investigation.Machine LearningAI agents
슬라이드 3장12:38EN
AI Engineer· 2026년 11월 11일How Duolingo uses agents to add tests without skipping human reviewKush Agrawal · DuolingoA scheduled pipeline raised iOS coverage by generating tests, repairing CI and routing pull requests to engineers for approval.코딩 에이전트개발 워크플로와 테스트Software engineering
1:03:19EN
Stanford Online· 2026년 11월 11일Manage AI sources: retrieve selectively and withhold context when usefulCynthia Bailey · Stanford UniversityStanford lecturer Cynthia Bailey explains when to retrieve documents, leave context out and guard against instructions hidden in sources.RAG와 지식컨텍스트 엔지니어링Prompt injection+1
2:55:43EN
PowerfulJRE· 2026년 11월 11일팟캐스트 · 3명Paddy Pimblett on fighting, weight cuts and the lightweight division게스트 Paddy Pimblett · 진행자 Joe RoganPimblett explains his Saint Denis finish, his difficult recovery from ankle surgery, and why he refuses to fight teammates.Combat SportsMartial ArtsJiu Jitsu+1
슬라이드 4장48:20EN
Theo - t3․gg· 2026년 11월 10일Fable 5.2 is powerful, but Theo Browne still prefers Opus for everyday codingTheo Browne · T3After a day of tests, Browne compares benchmarks, usage limits and the mistakes that still require a human reviewer.코딩 에이전트Benchmarks모델과 학습
43:35EN
Silicon Valley Girl· 2026년 11월 10일Isomorphic Labs’ Max Jaderberg on narrowing drug designs with AI게스트 Max Jaderberg · 진행자 Marina MogilkoThe researcher explains virtual screening, real laboratory checks and why agent performance must be measured against useful outcomes.Drug DiscoveryAI for scienceAI agents+2
슬라이드 4장38:50EN
AI Engineer· 2026년 11월 10일LinkedIn’s self-improving agent first had to fix its judgesZiwei Guo, Saloni Gandhi · LinkedInA prompt-optimization loop improved a career agent, but unreliable evaluators required human calibration first.에이전트 엔지니어링평가와 관측 가능성Agent orchestration+1
12:48EN
AI Engineer· 2026년 11월 10일Brian Douglas: Turn agent corrections into reusable review knowledgeBrian Douglas · Paper ComputeThe Paper Compute developer captures expert pushback in coding sessions and tests ways to reuse it during review.코딩 에이전트개발 워크플로와 테스트Software engineering+1
59:06EN
a16z· 2026년 11월 10일Dharmesh Shah: Find startup opportunities beyond the AI labs’ pathJoe Schmidt, Dharmesh Shah · Andreessen HorowitzHubSpot’s co-founder explains how to test narrow ideas, build around customer work and use AI without relying on a temporary model gap.AI startups & small teamsProduct Strategy엔터프라이즈 AI+2
슬라이드12:20EN
AI Engineer· 2026년 11월 10일Ayush Bhardwaj: Agent workarounds are feedback for your CLIAyush Bhardwaj · Allos AIAn audit of coding sessions shows where output, errors and stale instructions force agents to improvise.코딩 에이전트개발 워크플로와 테스트에이전트 엔지니어링+1
1:46:17EN
The Knowledge Project Podcast· 2026년 11월 10일팟캐스트 · 2명Jon McNeill on Tesla’s speed: delete steps before automating게스트 Jon McNeill · 진행자 Shane ParrishThe former Tesla president explains the sales bottleneck, product feedback and five-step simplification method behind rapid growth.LeadershipDecision MakingProduct Management+2
23:03EN
Masters of Scale· 2026년 11월 10일팟캐스트 · 3명Tubi and e.l.f. grew by serving audiences incumbents overlooked게스트 Anjali Sud, Kory Marchisotto · 진행자 Bob SafianAnjali Sud and Kory Marchisotto explain free streaming, affordable beauty and direct feedback from fans.Product StrategyGrowth StrategyDigital Media+1
43:05EN
The Builders· 2026년 11월 10일Alex Karp says AI could widen inequality—and rejects a wealth tax게스트 Alex Karp · 진행자 Walter IsaacsonThe Palantir CEO links data sovereignty, surveillance limits and a proposed tax-and-efficiency trade-off.AI RegulationPrivacy & data governanceEconomics+1
슬라이드 5장12:57EN
AI Engineer· 2026년 11월 10일Harvey’s agents scaled until their platform and merge queue brokeJoey Wang · HarveyAfter an alert spawned 900 agents and one engineer launched 950 tasks, Harvey added deduplication and fair scheduling.에이전트 엔지니어링Agent orchestrationDeveloper productivity+1
31:18EN
Hard Fork· 2026년 11월 10일팟캐스트 · 2명Nvidia’s board investigates reports involving Jensen Huang게스트 Stephen Witt · 진행자 Max ReadJournalist Stephen Witt discusses leadership risk, export controls and unanswered questions around Megaspeed.SemiconductorsGeopoliticsAI Regulation+1
슬라이드 3장51:48EN
AI Engineer· 2026년 11월 10일Compose small decisions before reaching for a generative modelRaymond Weitekamp · OpenProseRaymond Weitekamp demonstrates recursive decision models and sketches a voice-first computer interface.AI agents에이전트 엔지니어링Agent orchestration
슬라이드23:00EN
AI Engineer· 2026년 11월 10일A passing PR check needs evidence tied to the submitted codeStephen Chin, Cassandra Chin · Neo4jStephen and Cassandra Chin show how Tracetoon connects agent traces, code changes and checks before writing a reviewable pull request.코딩 에이전트개발 워크플로와 테스트Software engineering+1
슬라이드 4장22:49EN
AI Engineer· 2026년 11월 10일When many coding agents share one codebase, delivery must handle concurrencyPatrick Debois · TesslPatrick Debois explains how shared planning, merge strategies and risk-based review can help teams coordinate agents.코딩 에이전트Software engineering소프트웨어 팩토리
슬라이드 6장23:57EN
Google Cloud Tech· 2026년 11월 10일Six front-end ideas that make AI-built apps easier to debugDevin Chasanoff · Google CloudDevin Chasanoff uses an interactive game tracker to show where data lives, how values are derived and how components communicate.Software engineering코딩 에이전트개발 워크플로와 테스트+1
슬라이드 4장38:07EN
GOTO Conferences· 2026년 11월 10일A smoother reorganization starts by letting teams design itJoakim Sundén · Better Product WorkJoakim Sundén pairs leadership’s strategy with employees’ knowledge of daily work, then lets people select teams.ManagementLeadershipProduct Management
슬라이드 3장1:25:52EN
Latent Space· 2026년 11월 10일팟캐스트 · 2명Zeno Rocha on building email tools for people and agents게스트 Zeno Rocha · 진행자 Shawn WangThe Resend co-founder explains deliverability, agent-facing interfaces and why he writes product information for machines to read.Product StrategyAI agentsProduct-Led Growth
슬라이드 2장15:41EN
AI Engineer· 2026년 11월 10일Meta’s on-call AI teammate earns autonomy one action at a timeChinmay Gandhi, Swaapnika Motapothula, Vlad Tsvang · MetaThe team connects incident context and shared memory while keeping critical decisions and code review with people.AI agents인프라와 배포에이전트 엔지니어링+1
슬라이드 2장14:30EN
AI Engineer· 2026년 11월 10일Why reading a skill file cannot reveal everything an agent will doRoey Ben Chaim · ZenityZenity’s Roey Ben Chaim describes sandbox testing that follows dependencies and observes process, file and network activity.AI security에이전트 엔지니어링보안과 안전+1
슬라이드 4장1:17:53EN
Stanford Online· 2026년 11월 10일How language-model design shapes context engineering for agentsMichael Ryan · Stanford UniversityStanford’s Michael Ryan connects decoding, attention and inference to the practical choices agent builders make.AI agents컨텍스트 엔지니어링Inference
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