Ruby Tumbler: preserving dynamic behavior without unnecessary work
I've gotten further than expected, and learned some fascinating things about dynamic languages.
Lynn Cole / 标签
A thread through the work.
I've gotten further than expected, and learned some fascinating things about dynamic languages.
Weekend notes on software distribution, Kinetic Painter’s control system, software reconstruction, recursive training and a new donor truck for Petrolina.
Ruby Tumbler’s next performance problem lives between methods: guards, dynamic dispatch, fallback and the cost of preserving implementation identity.