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22:49ENWhen 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.
23:57ENSix 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.
38:07ENA 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.
1:25:52ENZeno Rocha on building email tools for people and agentsゲスト Zeno Rocha · ホスト Shawn WangThe Resend co-founder explains deliverability, agent-facing interfaces and why he writes product information for machines to read.
15:41ENMeta’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.
14:30ENWhy 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.
1:17:53ENHow 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.
20:06ENPrasanna Sankar: As agents write more code, coordination becomes the bottleneckPrasanna Sankar · VorfluxThe Vorflux founder describes cloud environments, review and merge queues, and agents that help initiate routine work.
1:16:16ENCynthia Bailey: Prompt clearly, verify evidence and keep your own judgmentCynthia Bailey · Stanford UniversityThe Stanford lecturer explains practical prompting, context management and ways to prevent skills from quietly fading.
1:25:20ENSean Allen: Make software correctness part of the designゲスト Sean AllenThe Antithesis engineer argues for earlier guarantees, more thoughtful test workloads and planning for production failures.
28:00ENRobinhood’s AI reviewer merges 60% of data PRs without human reviewChetas Joshi · RobinhoodScripts verify live facts, an agent traces code risks, and people retain sensitive decisions.
12:15ENRobert Greene on attention, danger and feeling connected to natureゲスト Robert Greene · ホスト Chris WilliamsonGreene retells a forest guide’s encounter with a tiger and a climber’s survival story to explore awareness and human limits.
23:00ENTreat subagent handoffs as distributed-system operationsGirish Konda · MicrosoftGirish Konda proposes explicit outcomes, source checks and side-effect controls for agents that touch real systems.
2:10:00ENGary Sinise on supporting veterans and remembering his son Macゲスト Gary Sinise · ホスト Joe RoganThe actor traces his foundation work, his path into theater and the family story behind Graceful Warrior.
31:41ENModel gains, unreliable evaluations and the limits of benchmark scoresAI Explained compares recent model tests with examples of workflow failures and evaluation-aware behavior.
34:49ENA proposed runtime standard for agents that work togetherJustin Schroeder · Standard AgentsJustin Schroeder shows how portable, task-specific agents could be packaged, evaluated and combined.
51:49ENRevolut ranks new products against a decade of previous betsゲスト Nik Storonsky · ホスト John CollisonNik Storonsky explains the bank’s product scorecards, subscription model and US ambitions to Stripe’s John Collison.
38:34ENA founder used Codex to build the Norwegian tutor he wantedゲスト William Imoh · ホスト Claire VoWilliam Imoh describes a voice app built around conversation, then shows how role-based agents support his company.
19:41ENA high-reliability automation starts by routing the hard cases awayMatthew Jewkes · Standard CyberneticsMatthew Jewkes describes separating critical errors, ambiguous decisions and unusual exceptions in a biopharma indexing workflow.
49:56ENBarbara Oakley: use AI to support learning, not replace itBarbara Oakley · Oakland UniversityShe connects memory, practice and curiosity to the challenge of judging AI-generated answers.
41:04ENHow Google tests Gemini 4 and uses agents to maintain codeTulsee Doshi, Smitha, Rody Davis, Luke, Mollie, Billy, Annie · Google DeepMindTulsee Doshi describes staged releases and long-running work; a demo audits web, Android and iOS code with subagents.
52:08ENWhen coding agents overwhelm a self-hosted model, reject earlyHarshul Jain, Parv Khatri · AudibleAdmission control can protect GPU capacity, but benchmark it against every offered request—including the ones rejected.
22:01ENZach Lloyd: make the software factory measurable and editableZach Lloyd · WarpWarp’s CEO proposes recording agent runs, scoring failures and testing changes to the workflow on real tasks.
17:27ENFix a tangled app by specifying its states before promptingDevin Chasanoff · GoogleDevin Chasanoff maps a workout screen’s state, transitions and tests before asking an agent to change it.
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