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1:48:29ENHow AI Is Changing Programming: John Krazit and Ron MinskyRon Minsky, John Krazit · 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.
1:36:37ENAaron Bauer on Teaching Software Engineering in the Age of AIRon Minsky, Aaron Bauer · Jane StreetHow learning goals, active practice and editor design shape engineering education when models can generate the code.
1:25:00ENEric Mannes on Turning Messy External Data Into Trading ResearchRon, Eric Mannes · Jane StreetFrom commodity futures and an Excel risk system to point-in-time datasets and AI, Eric Mannes explains the domain knowledge behind data engineering at Jane Street.
27:39EN3Blue1Brown and Jane Street on Trading, Machine Learning and CultureGrant Sanderson, Nitya, In Young, Craig, Alok · 3Blue1BrownGrant Sanderson talks with Jane Street colleagues about market making, shared compute, research and the paths that brought them to the firm.
1:34:29ENJacob Baskin on Building Superstore and Scheduling the HiveYaron Minsky, Jacob Baskin · Jane StreetThe Jane Street engineer traces the design choices behind a distributed analytical database and the challenge of allocating a growing research cluster.
1:34:36ENNate Foster: Treating the Network as a ProgramYaron Minsky, Nate Foster · Jane StreetFrom programmable switches to BGP, a programming-languages researcher explains how higher-level policies and formal models can make networks easier to change.
1:08:22ENMark Doss on Production Engineering for High-Stakes TradingMark Doss · Jane StreetWhy every order matters, how event-based monitoring detects unexpected failures, and what a realistic incident reveals about trading operations.
46:35ENJon Gjengset on the Cost of Concurrency CoordinationJon GjengsetWhy shared cache lines can make even read-heavy locks slow, and how a different data structure trades writer work for scalable reads.
1:48:21ENWill 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.
1:22:49ENBryan Cantrill: Why Software and Hardware Must Be Designed TogetherBryan Cantrill · Oxide Computer CompanyFrom a stubborn CPU reset to disappearing drives, Oxide’s cofounder makes the case for designing and debugging computing systems across the hardware–software boundary.
1:20:57ENMatt Godbolt: Inside Skylake’s Out-of-Order PipelineMatt GodboltA guided tour of instruction decoding, register renaming, execution and memory ordering, grounded in reverse engineering and careful measurements.
47:43ENMaking GPU Training Faster: Pipelines, Fusion and Custom KernelsCorwin · Jane StreetTwo Jane Street speakers explain how to diagnose idle GPUs, reduce memory traffic and build a parallel reduction kernel.
55:03ENNeil Mitchell: How Pyrefly Checks Python at ScaleNeil Mitchell, Roman · MetaA tour of Python's type system and the incremental architecture behind a fast, open-source checker and language server.
52:05ENCorwin de Zahr: Exploring OCaml Runtime Safety Through a CTF ChallengeCorwin de Zahr · Jane StreetA deliberately restricted OCaml sandbox becomes a way to examine type safety, callbacks, memory representation and binary debugging.
1:12:58ENChris Lattner on Mojo and the Search for Portable GPU PerformanceYaron Minsky, Chris Lattner · Jane StreetRon Minsky and Chris Lattner discuss the language and compiler design behind Modular’s effort to make accelerator programming both portable and fast.
1:01:23ENWill Crichton on Making Rust More UnderstandableWill Crichton · Brown UniversityOwnership visualizations, interactive trait diagnostics and program slicing illustrate an evidence-based approach to developer tools.
1:27:41ENRon 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.
1:19:40ENIan Henry on Building Trader Tools, Functional UIs and Creative CodingRon Minsky, Ian Henry · Jane StreetFrom high-density options interfaces to a 3D playground, Ian Henry and Ron Minsky explore the software choices that make complex tools usable.
47:08ENChris Casinghino on Making OCaml Safe for Performance EngineeringChris Casinghino · Jane StreetJane Street’s OCaml extensions use layouts and modes to offer more control over memory and parallelism while preserving safety and familiar programming patterns.
59:46ENIn Young Cho on Trading Research and Finding Signal in Financial DataRon Minsky, In Young Cho · Jane StreetIn Young Cho and Ron Minsky discuss the blurred lines between trading, research, and engineering, and why machine learning in markets is difficult.
12:43ENHow OCaml Represents Values in MemoryA practical tour of immediate integers, heap blocks, runtime tags and variant constructors, illustrated with OCaml's Obj module.
27:16ENTudor 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.
40:33ENCharlie Marsh on uv: Python Dependency Resolution and PerformanceCharlie Marsh · AstralThe Astral founder explains universal lockfiles, Python packaging constraints, and the data structures and cache design behind uv.
53:51ENLiora 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.
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