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Top 7 Ken Kocienda Quotes (2024 Update)

Ken Kocienda Quote: “Why do some products, like the iPhone, turn out as well as they do? I’m now ready to offer my complete answer. It comes in three parts.”

1. “Why do some products, like the iPhone, turn out as well as they do? I’m now ready to offer my complete answer. It comes in three parts.”

— Ken Kocienda

Ken Kocienda Quote: “We always started small, with some inspiration. We made demos. We mixed in feedback. We listened to guidance from smart colleagues. We blended in variations. We honed our vision. We followed the initial demo with another and then another. We improved our demos in incremental steps. We evolved our work by slowly converging on better versions of the vision. Round after round of creative selection moved us step by step from the spark of an idea to a finished product.”

2. “We always started small, with some inspiration. We made demos. We mixed in feedback. We listened to guidance from smart colleagues. We blended in variations. We honed our vision. We followed the initial demo with another and then another. We improved our demos in incremental steps. We evolved our work by slowly converging on better versions of the vision. Round after round of creative selection moved us step by step from the spark of an idea to a finished product.”

— Ken Kocienda

Ken Kocienda Quote: “We used algorithms and heuristics like they were the left and right sides of our collective product development brain. Employing each involved an interplay of craft and taste, and we always tried to strike the correct balance. Algorithms and heuristics must coordinate to make a great high-tech product.”

3. “We used algorithms and heuristics like they were the left and right sides of our collective product development brain. Employing each involved an interplay of craft and taste, and we always tried to strike the correct balance. Algorithms and heuristics must coordinate to make a great high-tech product.”

— Ken Kocienda

Ken Kocienda Quote: “Taste is developing a refined sense of judgment and finding the balance that produces a pleasing and integrated whole.”

4. “Taste is developing a refined sense of judgment and finding the balance that produces a pleasing and integrated whole.”

— Ken Kocienda

Ken Kocienda Quote: “This points to the more general lesson I took from my WebKit editing work: People matter more than programming.”

5. “This points to the more general lesson I took from my WebKit editing work: People matter more than programming.”

— Ken Kocienda

Ken Kocienda Quote: “We used the word “heuristics” to describe aspects of software development that tip toward the liberal arts. Its counterpart, “algorithms,” was its alter ego on the technical side. Heuristics and algorithms are like two sides of the same coin. Both are specific procedures for making software do what it does: taking input, applying an operation, and producing output. Yet each had a different purpose.”

6. “We used the word “heuristics” to describe aspects of software development that tip toward the liberal arts. Its counterpart, “algorithms,” was its alter ego on the technical side. Heuristics and algorithms are like two sides of the same coin. Both are specific procedures for making software do what it does: taking input, applying an operation, and producing output. Yet each had a different purpose.”

— Ken Kocienda

Ken Kocienda Quote: “Heuristics also have a measurement or value associated with them – the duration for an animation or the red-green-blue values for an onscreen color, but there isn’t a similar “arrow of improvement” that always points the same way. Unlike evaluating algorithms, heuristics are harder to nail down. For instance, how quickly should a scrolling list glide to a stop after you’ve flicked it? We always made demos to evaluate the possibilities.”

7. “Heuristics also have a measurement or value associated with them – the duration for an animation or the red-green-blue values for an onscreen color, but there isn’t a similar “arrow of improvement” that always points the same way. Unlike evaluating algorithms, heuristics are harder to nail down. For instance, how quickly should a scrolling list glide to a stop after you’ve flicked it? We always made demos to evaluate the possibilities.”

— Ken Kocienda

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