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Misko Hevery's Clean Code Talk shows how to use object-oriented techniques such as polymorphism to remove repeated if and switch statements. The result is code that is easier to test, understand and maintain.

Cliff Click of Azul Systems gives a Google Tech Talk on running Java business applications on a machine with about a thousand cores. He covers hardware and software codesign, including garbage collection hardware and the JIT.

Jon Bentley walks through three implementations of Hoare's Quicksort, from a dozen-line C function to a series of systematic code transformations that make the program ever simpler and more powerful. It is a Google Tech Talk on code elegance and program derivation.

Dan Bornstein's Google I/O 2008 talk on the internals of Dalvik, the virtual machine that runs Android code. It covers the motivation for its design, the dex format and its register-based interpreter, plus tips for writing code that suits the platform.

Brian Fitzpatrick and Ben Collins-Sussman argue that the 'genius programmer' ideal harms collaboration. They advocate trading ego for growth, sharing work early, and understanding how tools shape social behavior.

A 2009 Google Tech Talk by Nicholas Zakas on the hidden performance pitfalls of JavaScript. It covers what is fast and slow in the language and how to avoid common bottlenecks.

Linus Torvalds tells the story of Linux in a 2001 talk at the Computer History Museum, from writing code as a graduate student in Helsinki in the early 1990s to becoming an icon of open source. It covers the project's origins, its growth, and his views on licensing and kernel design.

Sean Parent of Adobe argues that object-oriented frameworks ultimately fail to deliver scalable, high quality software and proposes combining generic and declarative programming instead. It draws on Stepanov's Elements of Programming.

Paul Biggar's Google Tech Talk on compiling and optimizing scripting languages, drawn from his work on the phc ahead-of-time PHP compiler. He covers runtime typing, aliasing and code generation challenges, and argues AOT can compete with JIT.