This 1% of humanity uses its awesome power to manipulate societal aspirations and the narratives around climate change. These extend from well-funded advertising to pseudo-technical solutions, from the financialisation of carbon emissions (and increasingly, nature) to labelling extreme any meaningful narrative that questions inequality and power.

Why does test suite performance matter? First of all, testing is a part of a developer's feedback loop (see @searls talk) and, secondly, it is a part of a deployment cycle.

It is hard to appreciate how important really fast (and reliable) hot reload can be during development, unless you have experienced it yourself. Developers report that it changes the way they create their apps, describing it as being like painting their app to life.

In fact, it’s at the core of the learning process and how the human brain learns.

In everyday life, feedback loops for each of us occur naturally–usually in the form, ‘When I do X, Y happens.’ That’s a kind of feedback loop in the learning process.

A feedback loop in learning is a cause-effect sequence where data (often in the form of an ‘event’) is responded to based on recognition of an outcome and that data is used to inform future decisions in similar or analogous situations.

What vaults this well past SNCF for me (setup time aside), is the limited company choice; it prevents a feedback loop of sorts where a game devolves into running each company in the ground.

I like bundlers. Correction, I like fast bundlers. Bundlers that help me tighten the feedback loop and help me focus on the code. Not bundlers that make me doze off, waiting for the recompilation to finish, while my CPU fan sounds like an old hair dryer.

But even that “minute” affects my feedback loop (see Justin Searls talk) and wastes my time.

Just as journalists should be able to write about anything they want, comedians should be able to do the same and tell jokes about anything they please

We do the smallest thing possible and get it out as quickly as possible.

We check in our code at the entry point of a pipeline, version control (Git and Github in our case), and then it’s taken through a series of steps aimed at assuring quality and lowering risk of releases. Automation helps us keep these steps out of our way while maintaining control through fast feedback loops (context-switching is our enemy). If any step of the pipeline breaks (or fails) we want to be alerted in our communication channel of choice (in our case Slack), and it needs to happen as quickly as possible while we’re in the right context.

the explicit nature of future improved systems would be highly affected by (expected) changes in our technology or in our understanding of the human being

evaluating the possible relevance of work and knowledge from existing fields and for assimilating whatever is relevant

giving the human the minute-by-minute services of a digital computer equipped with computer-driven cathode-ray-tube display, and (2) developing the new methods of thinking and working that allow the human to capitalize upon the computer's help.

that any one such improvement can be expected to trigger a chain of coordinating improvements

The Triple Feedback Loop offers a compass by aligning the information flows in a framework for operating a network of disparate players with different goals who work together on an overarching goal.