Through computer programs we construct large portions of our own future. Here we address how we might make faster and better decisions as we learn from and provide for each other. We draw from our own experience and those of Thompson Morrison and David Woods.
We share an enthusiasm for travel over the complex landscape produced by systems at scale. As activists we engage with what is visible and act to make that better. We seek methods that harmonize with our peers so that all of us can enjoy the surprise and delight they offer.
We begin by surveying relevant observations and practices without removing from their natural context.
We'll abstract what works as more detailed advice which we hope will merge into a pattern language.
We'll test this by working problems within wiki itself using plugins that facilitate operation at scale.
As makers we accept that everything we make will break. Our aspiration is that through the advice here the thing we make will break better.
See Our Learning Pod