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12 件
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スライド 7 枚35:19EN
AI Engineer· 2026年10月25日SallyAnn DeLucia: How to Write Your First AI EvalSallyAnn DeLucia · Arize AITurn an agent’s real traces into concrete pass/fail criteria, then build an LLM judge you can test, align with people, and run in production.評価とオブザーバビリティ評価(Evals)エージェント工学+2
スライド 8 枚15:27EN
AI Engineer· 2026年10月25日What AI Engineers Do Now: Build the Loop Around AgentsAparna Dhinakaran · Arize AIAparna Dhinakaran argues that AI engineers are moving from shipping individual features to building systems that let agent teams improve them. At Arize, that means tracing agent behavior, evaluating its work against human judgment, and feeding those signals back into an always-on agent.エージェント工学評価(Evals)オブザーバビリティと信頼性+2
スライド 5 枚34:11EN
GOTO Conferences· 2026年10月23日Anatoliy Bilenko and Alberto Carretero: Making Database Protocols Reliable with Formal Methods and AIAnatoliy Bilenko, Alberto Carretero · CanonicalCanonical’s database engineers connect executable specifications, model-based tests, failure exploration, and reconstructed execution histories—and explain why none of these techniques proves a real system correct on its own.開発ワークフローとテストCode review & verificationオブザーバビリティと信頼性+2
1:48:21EN
JSJane Street· 2026年3月17日Will Wilson on Deterministic Simulation and the Hard Problems of Software TestingYaron Minsky, Will Wilson · Jane StreetThe Antithesis co-founder explains how replayable simulations explore complex software, why properties matter and where testing meets its limits.開発ワークフローとテストSoftware engineeringCode review & verification+2
58:47EN
JSJane Street· 2025年7月28日Daniel Pontecorvo on Cooling Trading Infrastructure and WorkspacesYaron Minsky, Daniel Pontecorvo · Jane StreetFrom dense GPU racks to movable desks, Jane Street’s physical engineering team designs around heat, power, failure and human comfort.インフラとデプロイEnergyオブザーバビリティと信頼性+1
スライド 4 枚1:27:41EN
JSJane Street· 2025年7月24日Ron Minsky on the Saga of Multicore OCaml at Jane StreetRon Minsky · Jane StreetA production migration exposed garbage-collector regressions, led to a new pacing design, and illustrated the difficulty of turning research into reliable infrastructure.Programming LanguagesSoftware engineeringオブザーバビリティと信頼性
スライド 8 枚27:16EN
JSJane Street· 2024年11月15日Tudor Brindus on Finding and Reducing System JitterTudor Brindus · Jane StreetA memory ping-pong benchmark reveals how virtualization, interrupts, CPU frequency changes and speculation can disrupt low-latency systems.Software engineeringオブザーバビリティと信頼性インフラとデプロイ
53:51EN
JSJane Street· 2024年10月7日Liora Friedberg on Solving Puzzles in ProductionYaron Minsky, Liora Friedberg · Jane StreetProduction engineering combines live incident response with software, process improvements and a culture that helps people learn from mistakes. Liora Friedberg and Ron Minsky explore the work at Jane Street.オブザーバビリティと信頼性Software engineering開発ワークフローとテスト
5:56EN
JSJane Street· 2023年5月10日Liora on Production Engineering at Jane StreetLiora · Jane StreetA London production engineer describes incident response, project work, communication, and mentorship across the firm.オブザーバビリティと信頼性CareersCompany Culture
4:11EN
JSJane Street· 2022年11月8日Inside Production Engineering at Jane StreetMark, Liora, Joseph · Jane StreetThree engineers describe the balance between resolving live issues and building software that makes support more effective.オブザーバビリティと信頼性Software engineeringCareers
1:00:28EN
JSJane Street· 2022年9月12日Ella Ehrlich on Modernizing a Critical Trading SystemRon Minsky, Ella Ehrlich · Jane StreetJane Street’s Gord team rebuilt parts of a legacy data pipeline while preserving availability, and Ehrlich describes the recruiting programs she helped develop.Software engineeringインフラとデプロイオブザーバビリティと信頼性+1
スライド 6 枚1:06:49EN
JSJane Street· 2018年1月30日Bryan Cantrill on Finding the Butterfly Behind a Performance HurricaneBryan Cantrill · JoyentSmall defects can produce vast performance failures across layers of abstraction. Bryan Cantrill explains how to investigate them with questions, instrumentation and visualization.オブザーバビリティと信頼性インフラとデプロイSoftware engineering