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Michael C. Feathers
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August 2012
Generate from Constraints
As society deals with the broader implications of generative pre-trained transformer (GPT) technology, developers are trying to understand how it will impact software development. While there are a wide variety of ways to leverage it, the easiest, and most common, is code generation.
Today, there are a number of GPT-based tools that analyze comments and code and suggest completions as you type. You
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CODER PROPREMENT
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published
2007
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42 editions
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Working Effectively with Legacy Code
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published
2004
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25 editions
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Beautiful Code: Leading Programmers Explain How They Think
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published
2009
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19 editions
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Working Effectively with Unit Tests
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published
2014
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4 editions
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Brutal Refactoring: More Working Effectively with Legacy Code
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published
2016
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Robert C. Martin
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“Code without tests is bad code. It doesn't matter how well written it is; it doesn't matter how pretty or object-oriented or well-encapsulated it is. With tests, we can change the behavior of our code quickly and verifiably. Without them, we really don't know if our code is getting better or worse.”
― Working Effectively with Legacy Code
― Working Effectively with Legacy Code
“Legacy code. The phrase strikes disgust in the hearts of programmers. It conjures images of slogging through a murky swamp of tangled undergrowth with leaches beneath and stinging flies above. It conjures odors of murk, slime, stagnancy, and offal. Although our first joy of programming may have been intense, the misery of dealing with legacy code is often sufficient to extinguish that flame.”
― Working Effectively with Legacy Code
― Working Effectively with Legacy Code