Maxime Chevalier-Boisvert discusses making dynamic languages faster providing various examples of optimizations: SmallTalk, LISP machine, Google V8 and others.
Jim Driscoll discusses using ADFm to create and change Groovy scripts at runtime and debugging a live system with JWDP.
Alex Gaynor explains how he solved the usual Ruby VM speed problems with Topaz, a high performance VM built on the same technologies that power PyPy.
Miles Sabin and Edwin Brady exemplify what can be done with a language with dependent types, what are the limitations and what could be done in the future when dependent types reach maturity.
Ben Johnson discusses the Raft protocol and how it works. Raft is a consensus distributed protocol.
Brendan Eich surveys interesting developments in the Web platform, analysing emergent trends, and making some predictions.
Stefan Fochler shares best practices on using Ember.js to master the needs of real-world web applications, discussing what worked well and what didn't.
Kevin Lamping presents patterns for writing CSS for very large websites.
Jeff Scott Brown discusses Groovy’s runtime metaprogramming capabilities and the Meta Object Protocol (MOP).
Keith Adams shares HHVM insights showing how a system can become very performant if it is well tuned.
Philipp Haller introduces Scala Async for asynchronous I/O with Futures and Promises.