systems programming

A panel from the Lang NEXT 2014 conference on systems programming in 2014 and beyond. Language designers including Bjarne Stroustrup and Rob Pike discuss the topic, including C++ header compile times.

Aditya Siram introduces ATS, a statically typed ML-like language that compiles to C and offers type-safe pointer arithmetic and a full proof language. The Strange Loop talk shows off C interop, concurrency and verification features with non-trivial examples.

Joe Duffy's RustConf 2017 closing keynote on his experience at Microsoft building Midori, an operating system written in a Rust-like safe systems language. He covers the technical and cultural challenges of applying those lessons to Windows.

Andrew Kelley, creator of Zig, introduces the language at the Recurse Center's Localhost series in 2018. He covers its goals of robustness, optimality and clarity, C interop, cross-compilation and explicit allocators.

Aaron Hsu's FnConf18 talk asks whether APL needs a static type system. He argues that APL's expressiveness and rapid iteration already deliver the benefits usually credited to types.

A 1995 Sun Microsystems film about the Self programming language, a prototype-based Smalltalk relative, showing its live, graphical programming environment.

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.

Jonathan Blow's Reboot Develop 2017 talk on making game programming less terrible, discussing software bloat, slowness and the design goals behind his own programming language.

A roughly ten-minute demo of Microsoft's Intentional Programming research system, showing its editor and an unusual way of working with code. It is the first of two clips cut from a longer video.

A 1987 talk in which John Backus, creator of Fortran, presents function-level programming and the FL language, a successor to his FP work. It is an archival recording with links to the related paper.

Part 2 of an old Microsoft Research demo of Intentional Programming, showing the compiler side of a system that stores programs as abstract structure rather than text. The uploader says the companion editor clip is clearer.

Richard Feldman argues that functional programming is not the norm largely because of historical accidents, such as C++ popularity, platform exclusivity, marketing spend and network effects, rather than merit. He traces the history of how languages become mainstream.

Brian Will makes the case for procedural programming over object-oriented programming, arguing that OOP's promised encapsulation and decoupling are largely illusory. He analyzes real code examples and the problems of tying data to behavior in classes.

Paul Chiusano's Strange Loop 2019 talk introduces Unison, an open-source functional language for distributed, elastic systems. It covers content-addressed code identified by hashes of the syntax tree, a codebase manager, and algebraic effects called abilities.

A SXSW talk by W Watson that uses Lacanian psychoanalysis, with nods to Zizek, to critique popular programming languages. It argues that people choose and defend languages for emotional and ideological reasons rather than rational ones.

Shriram Krishnamurthi's PWLConf 2019 talk on the formal notion of expressive power of programming languages, based on Felleisen's paper. It explains how to tell when a feature adds power by whether emulating it requires global rewriting.

The first lecture of Stanford's CS107 Programming Paradigms, taught by Jerry Cain, giving an overview of the course. The course goes from C and assembly through C++, concurrency, Scheme and Python.

Jon Purdy's Stanford EE380 seminar giving an overview of concatenative programming, from function composition theory and history down to low-level implementation and correctness benefits.

Kevlin Henney argues that procedural programming never went away despite later paradigms such as OO and functional. He traces the history of structured programming and shows where procedural thinking still lives in modern code and why it matters for readability.

The first part of a series on programming in Jai, Jonathan Blow's in-development language. It covers compiling, writing hello world and using code from other files.

Kevlin Henney revisits structured programming, from Go To Statement Considered Harmful to block-structured code and object orientation. He argues it still matters for how we write code today.

Aaron Hsu explains why programmers often find APL harder to learn than people with no programming background. He identifies eight patterns that contrast traditional software engineering practice with APL practice, starting from Ken Iverson's language design principles.

Bryan Cantrill's QCon SF 2019 talk asking whether operating systems should be rewritten in Rust. He draws on his systems experience to discuss C, memory safety and Rust's fit for system software.

Matthias Felleisen's keynote uses weather prediction as an analogy for type systems, arguing they forecast problems so you can act on them. It draws on his experience developing Typed Racket.

Brian Kernighan's 2009 talk at Princeton on the Elements of Programming Style, discussing readable code, avoiding cleverness and flawed examples in programming tutorials.

An animated ranking of the most popular programming languages from 1965 to 2019, built from popularity indexes, GitHub access data and historical surveys.

Steven G. Johnson, MIT professor and FFTW co-author, gives a JuliaCon 2019 keynote on metaprogramming and staged programming in Julia, showing how it enables high-performance numerical code and when not to use macros.

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.

Peter Alvaro's Strange Loop 2015 talk argues that query languages let you state what you mean, and applies that to distributed programming. It covers Datalog, Dedalus and the Bloom lineage for reasoning about distributed systems.

An Alan Kay talk on programming and scaling, covering theoretical limits of code size, engineering versus tinkering, and biological cells as inspiration for object-oriented design.

Day 1 of Casey Muratori's Handmade Hero, a live-coded game built from scratch in C on Windows. It reviews C on Windows, sets up a minimal build system and WinMain entry point, and shows a first MessageBox.

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.

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.

Rob Pike's October 2009 Google Tech Talk introducing Go, a new experimental systems language designed for fast builds, concurrency and garbage collection. It covers the goals, syntax and type system.

Felienne Hermans argues that Excel is the world's most popular programming language and shows how spreadsheets work as a pure functional language. She implements a few mathematical problems in spreadsheet formulas to illustrate why they are so powerful and approachable.

Jeff Dean of Google describes his experiences building Google's systems and how its infrastructure evolved over time. The Stanford talk covers search, scaling tipping points and lessons from building large-scale software.

An AWS re:Invent 2014 talk on the core distributed systems primitives behind AWS and Amazon.com, such as consensus, key-value stores and transactional logging. It describes how AWS builds large services from a few common building blocks.

A one-minute clip of Peter Norvig saying that Google found programming contest success correlates negatively or poorly with job performance. The description links to a blog post discussing it.

Jiahao Chen's JuliaCon 2017 talk argues that vector transposes should be taken seriously in type systems and linear algebra libraries. It explains why treating vectors as matrices causes trouble in languages.

Douglas Crockford's first Yahoo lecture puts JavaScript in historical context. He traces the language's structure and quirks back through the early decades of computer science and programming language history.