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4 diapositives22:49EN
AI Engineer· 10 nov. 2026When 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.Agents de codeSoftware engineeringUsines logicielles
6 diapositives23:57EN
Google Cloud Tech· 10 nov. 2026Six 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 engineeringAgents de codeWorkflows de développement et tests+1
4 diapositives38:07EN
GOTO Conferences· 10 nov. 2026A 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
3 diapositives1:25:52EN
Latent Space· 10 nov. 2026Podcast · 2 voixZeno Rocha on building email tools for people and agentsInvité : Zeno Rocha · Anime : 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
2 diapositives15:41EN
AI Engineer· 10 nov. 2026Meta’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 agentsInfrastructure et déploiementIngénierie d’agents+1
2 diapositives14:30EN
AI Engineer· 10 nov. 2026Why 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 securityIngénierie d’agentsSécurité+1
4 diapositives1:17:53EN
Stanford Online· 10 nov. 2026How 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 agentsIngénierie du contexteInference
Diapositives20:06EN
AI Engineer· 10 nov. 2026Prasanna 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.Agents de codeAgent orchestrationWorkflows de développement et tests+1
2 diapositives1:16:16EN
Stanford Online· 10 nov. 2026Cynthia 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.Prompting & in-context learningHuman-AI CollaborationEducation
1:25:20EN
The Pragmatic Engineer· 10 nov. 2026Podcast · 2 voixSean Allen: Make software correctness part of the designInvité : Sean AllenThe Antithesis engineer argues for earlier guarantees, more thoughtful test workloads and planning for production failures.Workflows de développement et testsSoftware engineeringSécurité+1
2 diapositives28:00EN
AI Engineer· 10 nov. 2026Robinhood’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.Ingénierie d’agentsCode review & verificationValidation avec humain dans la boucle+1
12:15EN
Chris Williamson· 10 nov. 2026Podcast · 2 voixRobert Greene on attention, danger and feeling connected to natureInvité : Robert Greene · Anime : Chris WilliamsonGreene retells a forest guide’s encounter with a tiger and a climber’s survival story to explore awareness and human limits.PsychologyPhilosophyWellness
3 diapositives23:00EN
AI Engineer· 10 nov. 2026Treat subagent handoffs as distributed-system operationsGirish Konda · MicrosoftGirish Konda proposes explicit outcomes, source checks and side-effect controls for agents that touch real systems.Multi-agent systemsIngénierie d’agentsObservabilité et fiabilité
2:10:00EN
PowerfulJRE· 10 nov. 2026Podcast · 2 voixGary Sinise on supporting veterans and remembering his son MacInvité : Gary Sinise · Anime : Joe RoganThe actor traces his foundation work, his path into theater and the family story behind Graceful Warrior.Mental HealthPersonal Growth
4 diapositives31:41EN
AI Explained· 10 nov. 2026Model gains, unreliable evaluations and the limits of benchmark scoresAI Explained compares recent model tests with examples of workflow failures and evaluation-aware behavior.AI researchBenchmarksAI Safety
Diapositives34:49EN
AI Engineer· 10 nov. 2026A proposed runtime standard for agents that work togetherJustin Schroeder · Standard AgentsJustin Schroeder shows how portable, task-specific agents could be packaged, evaluated and combined.AI agentsIngénierie d’agentsMulti-agent systems
51:49EN
Cheeky Pint· 10 nov. 2026Podcast · 2 voixRevolut ranks new products against a decade of previous betsInvité : Nik Storonsky · Anime : John CollisonNik Storonsky explains the bank’s product scorecards, subscription model and US ambitions to Stripe’s John Collison.FintechProduct ManagementGrowth Strategy+2
4 diapositives38:34EN
How I AI· 9 nov. 2026Podcast · 2 voixA founder used Codex to build the Norwegian tutor he wantedInvité : William Imoh · Anime : Claire VoWilliam Imoh describes a voice app built around conversation, then shows how role-based agents support his company.Agents de codeAI in EducationAI agents+2
7 diapositives19:41EN
AI Engineer· 9 nov. 2026A 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.Ingénierie d’agentsWorkflow automationÉvaluations+1
9 diapositives49:56EN
GOTO Conferences· 9 nov. 2026Barbara 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.EducationAI in EducationNeuroscience+2
4 diapositives41:04EN
Google Cloud Tech· 9 nov. 2026How 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.Agents de codeFoundation ModelsAgent orchestration+2
5 diapositives52:08EN
AI Engineer· 9 nov. 2026When 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.Infrastructure et déploiementInferenceAgent orchestration+2
7 diapositives22:01EN
AI Engineer· 9 nov. 2026Zach 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.Usines logiciellesAgents de codeÉvaluations+2
8 diapositives17:27EN
Google Cloud Tech· 9 nov. 2026Fix 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.Workflows de développement et testsAgents de codeProduit et UX+1
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