Chris Granger attempts to imagine what programming would look like if it was created today.
Tim Williams describes one of the world's largest commercial Haskell deployments (Barclays) and shares some experiences and insights gained using Haskell to build domain specific languages.
Felienne Hermans introduces BumbleBee, a refactoring and metaprogramming spreadsheets tool based on a DSL that can perform transformations against spreadsheet formulas.
SriSatish Ambati shares tips for in-memory algorithms, discussing I/O, S3 resets, muxers, primitive byte arrays, non-blocking structures, and fork/join queues.
Matt Debergalis highlights some of Meteor's components, showing how they work together to dramatically shorten the development cycle, whether you're a team of expert developers or just getting started.
Daniel Mikusa and Stuart Williams overview of the changes and new features introduced by both the updated Servlet, JSP, EL, WebSocket specifications and the Tomcat specific changes.
Paul Gross explains how Braintree deals with high availability for their Ruby application.
Tracy Harms introduces the J Language and the patterns of thinking that make it possible.
Andrew Crump shows how to deploy and scale applications written in a variety of languages (including Clojure and Erlang) to Cloud Foundry.
Baruch Sadogursky discusses creating DSLs which support plugins written both in Groovy or Java, addressing good public API design practices, security, and classpath isolation.
Mike Wiesner advises on dealing with security tradeoffs when creating Servlet Container, Spring MVC or Spring Integration type of applications.