In Search of Organic Software An Article by Pirijan Ketheswaran pketh.org Two different kinds of farms can grow vegetables. One is a factory farm built for scale, and the other takes the time to grow more expensive but healthier plants without pesticides. Will everyone appreciate the difference? Of course not, but the latter plants are labelled ‘organic’ to give us the information and the choice, so that those of us who do care can make better decisions. So maybe we should have ‘organic’ software as well, made by companies that: Are not funded in such a way where the primary obligation of the company is to 🎡 chase funding rounds or get acquired (so bootstrapping, crowdfunding, grants, and angel investment are okay) Have a clear pricing page Disclose their sources of funding and sources of revenue softwarebusinessfarming
How I Build An Article by Pirijan Ketheswaran pketh.org In 2014, I wrote about my belief that design and engineering are best when tightly woven together. That’s truer now than ever. If I’m feeling confident, I’ll jump right into my text editor…From here, more functionality is added and the code is tweaked until the feature looks and feels right to me. Whether it’s something simple like this, or prototyping a new interaction like multi-connect, there’s no substitute for designing with real code. In rare cases when I have ideas or plans that I’m less confident about, it’s time to break out the paper, pens, and markers, Because the Kinopio interface elements and aesthetic are full-grown, I almost never use traditional design software anymore. makinginteractioninterfaces
Why Software is Slow and Shitty An Article by Pirijan Ketheswaran pketh.org Roman empire militaryBuilding is never a straight lineConversations, not commandments Planning doesn't make for better software softwareperformance
A hypothesis is a liability A Research Paper by Itai Yanai & Martin Lercher genomebiology.biomedcentral.com There is a hidden cost to having a hypothesis. It arises from the relationship between night science and day science, the two very distinct modes of activity in which scientific ideas are generated and tested, respectively [1, 2]. With a hypothesis in hand, the impressive strengths of day science are unleashed, guiding us in designing tests, estimating parameters, and throwing out the hypothesis if it fails the tests. But when we analyze the results of an experiment, our mental focus on a specific hypothesis can prevent us from exploring other aspects of the data, effectively blinding us to new ideas. researchsciencediscovery