Nat Pryce considers that we cannot write the perfect code because it is never fully prepared for the coming change, so he suggests embracing impermanence & continual imperfection.
Stuart Halloway shares advice on creating evident code that scales. Evident code is software that clearly expresses its meaning and purpose.
William Pugh explains how to use FindBugs, a Java static code analysis tool, to discover bugs. The talk covers general issues regarding code bugs with advice on how to make sure you get rid of them.
Erik Dörnenburg shares techniques for estimating code quality by collecting and analyzing data using the toxicity chart, metrics tree maps, size&complexity pyramid, complexity view, code city, etc.
Brian Foote wonders in this session if the quest for clean or beautiful code makes sense in a bottom-line obsessed business world.
Joshua Kerievsky invites developers to start thinking as entrepreneurs, writing code that is “good enough” for the purpose it is supposed to serve rather than write elaborate code that is beautiful.
Michael Feathers analyzes real code bases concluding that code is not nearly as beautiful as designers aspire to, discussing the everyday decisions that alter the code bit by bit.
Kevlin Henney examines code samples to see what can be learned from them starting from the premise that one won’t write great code unless he knows how to read it.
Alex Papadimoulis discusses ugly code, where it comes from, how to avoid it, and how to get rid of it.
Guilherme Silveira mentions some of the turning points in project development that may affect the quality of the code offering advice on avoiding writing crappy code.
Bernhard Merkle advices on preventing architectural degradation of a project by using tools for constant monitoring of the code, exemplifying with an analysis of Ant, Findbugs and Eclipse.