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Zig: A programming language designed for robustness, optimality, and clarity –  Andrew Kelley54:14

Zig: A programming language designed for robustness, optimality, and clarity –  Andrew Kelley

75K views • 8 years ago
Recurse Center
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.
"Agility & Robustness: Clojure spec" by Stuart Halloway40:00

"Agility & Robustness: Clojure spec" by Stuart Halloway

25K views • 10 years ago
Strange Loop Conference
Stuart Halloway shows how Clojure's spec library lets you build programs that are both agile and robust. He covers declarative, predicate-based specification layered on interactive REPL development.
Robust-first computing: Beyond efficiency14:46

Robust-first computing: Beyond efficiency

8K views • 13 years ago
Dave Ackley
Dave Ackley gives a high-level introduction to robust-first computing, which prioritizes robustness over efficiency in computer architecture. A sorting demo illustrates the idea.
Robust-first computing: Demon Horde Sort (full version)27:13

Robust-first computing: Demon Horde Sort (full version)

14K views • 13 years ago
Dave Ackley
Dave Ackley demonstrates the Demon Horde Sort, an inherently robust sorting machine running in his Movable Feast Machine simulator. This is the uncut version with all details and side thoughts.
Living Computation: Robust-first programming in ULAM15:03

Living Computation: Robust-first programming in ULAM

4K views • 11 years ago
Dave Ackley
Dave Ackley presents robust-first computing and the ULAM programming language for the Movable Feast Machine, a cellular-automata-like architecture. It was a short video for the Future Programming Workshop 2015.
"We Really Don't Know How to Compute!" - Gerald Sussman (2011)1:04:19

"We Really Don't Know How to Compute!" - Gerald Sussman (2011)

96K views • 5 years ago
Strange Loop Conference
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.