The trick here is to see productivity as a way to compress the time required to meet our goals without using it as an excuse for endlessly doing more.
这儿的骗局是看到了生产力作为一种压缩时间的途径来满足我们的目标,而不是使用它作为借口来做越来越多数不完的事。
Choosing which tests to automate for regression testing is both a science and an art, and it's important for you to spend time learning some strategies for doing it effectively.
为回归测试选择需要自动化的测试既是一门科学又是一项艺术,而且为了有效地进行选择,花费时间学习一些策略是很重要的。
Is anyone adept at scanning the whole code base, looking for pervasive issues or opportunities? Are less expensive tweaks and hacks preferable over doing it right (but expensively) the first time?
有没有人善于浏览整个代码库,发现普遍的问题和机会?更喜欢代价低的调整和删改还是第一次就把事情做好(但是代价高)?
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