data-oriented programming

Andrew Kelley, creator of Zig, presents practical data-oriented design techniques for shrinking memory footprint and making programs cache friendly. He ends with a case study of how these ideas sped up the Zig compiler.

Casey Muratori's two-hour talk tracing the history of object-oriented programming back to the 1960s and examining how its ideas, and later entity component systems, came about. It is followed by a Q&A.

Luca Sas's ACCU 2021 talk on Modern C, a style of C and C-like C++ aligned with data-oriented design. It covers centralized memory management, zero-is-initialization, error handling and API design.

John Ousterhout's Netdev 0x16 keynote arguing that nearly every aspect of TCP is wrong for the datacenter, from connections and streams to reliable delivery and congestion control. He presents the case for a replacement protocol.

Felienne Hermans presents Hedy, a gradual programming language for teaching kids that moves through levels from almost no syntax toward full Python. The talk covers why error messages and syntax are scary for beginners.

Jon Gjengset's 2020 PhD dissertation presentation at MIT on partial state in dataflow-based materialized views, the idea behind the Noria database. The Q&A is cut out.

Douglas Crockford's code::dive 2022 talk on what the next programming language should look like. He presents ideas behind his Misty language, including message-passing actors.

Evan Czaplicki, creator of Elm, examines how programming languages are funded. He looks at where compiler engineers' salaries come from, why Go has about 5 engineers while Dart has about 30, and how this limits language design.

Guy Steele's Strange Loop 2010 talk argues that programmers should not have to think about parallelism, and that languages should support algorithms built on independence and divide-and-conquer. He also recounts fitting a program onto a single punch card.

Mark Raasveldt of CWI presents DuckDB, an embeddable analytical database described as the SQLite for analytics, in a CMU Database Group talk. He explains why it was built, what it is for, and how it works.

Jack Rusher's Strange Loop 2022 talk argues that most programming languages are still designed around punchcard-era assumptions. He makes the case for live, interactive programming environments, drawing on Lisp, Smalltalk and REPL-driven development.

Jonathan Blow's LambdaConf 2025 keynote demonstrates the Jai programming language and explains its design. It includes demos of metaprogramming and tools that visualize programs.

A Lambda Days keynote by Simon Peyton Jones and Tim Sweeney introducing Verse, Epic's functional logic language for the metaverse. It covers existential variables, unification and expressions yielding multiple values.

Chandler Carruth's CppNow 2023 talk on modernizing compiler design for the Carbon toolchain, using data-oriented design and modern hardware assumptions. It covers lexing, parsing and compact data structures aimed at compiler performance.

Fons van der Plas introduces Pluto.jl, a reactive notebook for Julia that tracks references between cells and re-runs affected cells when code changes. The talk was given at JuliaCon 2020.

A 2023 LLVM Developers' Meeting keynote by Abdul Dakkak, Chris Lattner and Jeff Niu introducing Mojo, a Python-family systems language built on MLIR and LLVM for heterogeneous computing.

Dylan Beattie's NDC London talk on code written for art, fun and curiosity rather than utility. It includes quines, live music programming with Sonic Pi, and a memorable closing.

Gerald Sussman's 2011 Strange Loop keynote argues we still do not know how to compute, comparing biological systems with how we program machines. It touches on propagators, constraint programming and robustness.

Zig creator Andrew Kelley's RedisConf 2020 talk on modeling data flow with asynchronous I/O in Zig. It explains how Zig's async/await avoids function coloring, and Loris Cro demonstrates OkRedis, a zero-allocation Redis client.

Tom 7's pilot episode of a series that plays with type systems and absurd programming, presented as a parody of the GPL v3 license. It mixes a typesetting experiment with a long, story-driven intro on the origin of TeX. Source code and papers are linked from the author's site.

Yegor Denisov-Blanch of Stanford presents a study of nearly 100,000 developers at hundreds of companies, measuring how AI affects productivity from commit data. It finds an average boost of about 20% with wide variance by codebase, task complexity and stack.

Rich Hickey's Strange Loop 2011 keynote separates 'simple' (not intertwined) from 'easy' (familiar or near at hand) and argues that software complexity comes from complecting things. It offers a vocabulary for judging designs and abstractions.

A Linear engineer talks about scaling the company's sync engine, which keeps client data local and synchronized. It follows an earlier talk on the same system.

Chuck Moore, inventor of Forth, presents GreenArrays' 144-core asynchronous chip at Strange Loop 2013. He explains how idle cores draw almost no power and how tight code minimizes energy use.

Guy Steele's classic 1998 OOPSLA keynote on how a programming language must grow with its user community. He delivers it in a playful style, starting with only monosyllabic words and defining new terms as he goes.

Richard Feldman explains how pure functional languages can match or beat imperative ones on performance. Compilers can turn immutable code into in-place mutation, avoiding naive copying. The talk draws on his work on the Roc language.

A short excerpt of Rob Pike's Lang.NEXT 2014 talk where he describes Go's target audience as young Google programmers who are not researchers. The language has to be easy for them to understand and adopt.

Rich Hickey's Strange Loop 2011 keynote distinguishing 'simple' (not intertwined) from 'easy' (familiar or near at hand). It argues that software complexity comes from complecting things and that we should pick simple constructs.

Casey Muratori argues against smart pointers and RAII, advocating grouped-element thinking, zero-is-initialization and stubs as better ways to structure memory and handle errors.

Joran Dirk Greef's Systems Distributed '23 talk on TigerStyle, the engineering methodology behind TigerBeetle. It covers designing safer systems in less time through up-front design, assertions, and deterministic simulation.

Dan Abramov's talk on the wet codebase, using visualizations to show how removing all duplication too early produces wrong abstractions that are hard to unwind.

Luke Wagner of Fastly explains what a WebAssembly component is, how it relates to familiar concepts, and what the Component Model enables. It emphasizes security, composability and modularity.

React Helsinki meetup recording featuring a talk on lessons with Apollo GraphQL and Linear co-founder Tuomas Artman on real-time sync for web apps. The sync talk explains Linear's local-first architecture.

Peter Hutterer's linux.conf.au 2020 talk on creating libinput, the unified userspace input library, and the difficulties of handling the many quirks of input devices.

Aaron Boodman of Replicache asks why sync engines have not yet fixed web app complexity and what is missing for them to go mainstream. The talk lays out the ideas that led to the Zero sync engine.

Martin Kleppmann's Local-First Conf talk reviewing where the local-first idea came from, where it stands five years after the essay, and what the community should work toward. He argues for generic sync infrastructure.

Rich Hickey's Clojure Conj 2023 talk on design in practice, covering problem statements, decision matrices, choosing precise words and making decisions in a team.

Roman Elizarov compares Kotlin Coroutines with OpenJDK Project Loom virtual threads, looking at their design goals and how those translate into different implementations and tradeoffs. He addresses how the two can coexist.

A Graphics Programming Conference talk on how the game Tiny Glade renders meadows, trees and player-built castles. It covers real-time global illumination, tilt-shift depth of field, stable shadows with continuous time of day, ray marching and GPU-driven rendering on old hardware.

Jeremy Howard defends Jupyter notebooks as a serious development environment, especially when paired with nbdev. He responds directly to Joel Grus's talk about why he dislikes notebooks, and contrasts REPL-style and notebook-style work.