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回看過去幾年使用GitHub Copilot輔助開發的經歷,我感覺Copilot確實很大程度上改變了我寫程式的一些習慣。
純靠人腦寫的時候比較傾向於把一整個feature的流程一整坨拉出來,然後在debug過程中做抽象拆分,慢慢從spaghetti變成比較理想的可維護的project。
現在知道copilot的優勢是在一個小需求輸入輸出確定的情況下直接出implementation,且拆分越細緻我自己review也越容易,所以更多從頂向下寫code,先理清data flow,拆分好步驟,寫出來一大堆function signature和type definition,然後讓copilot一個個implement出來,人工review過一遍後再讓copilot寫test cases,結合test case review一遍。debug時間大大減少,很多時候這樣well-tested code組合完都能一遍過,而且知道不用再返工做拆分,心情大為舒暢。
即使是需求變化或者一開始架構設計有問題,後面更改也會更多在architecture上做調整然後讓copilot重寫對應部分。因為具體的implementation基本上不是我自己一行行碼出來的了,所以不會像以前一樣因為覺得敲掉重頭再來很可惜,做調整也會更聚焦於怎麼調整比較符合需求,而不是動歪腦筋怎麼retrofit比較方便。



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回看過去幾年使用GitHub Copilot輔助開發的經歷,我感覺Copilot確實很大程度上改變了我寫程式的一些習慣。
純靠人腦寫的時候比較傾向於把一整個feature的流程一整坨拉出來,然後在debug過程中做抽象拆分,慢慢從spaghetti變成比較理想的可維護的project。
現在知道copilot的優勢是在一個小需求輸入輸出確定的情況下直接出implementation,且拆分越細緻我自己review也越容易,所以更多從頂向下寫code,先理清data flow,拆分好步驟,寫出來一大堆function signature和type definition,然後讓copilot一個個implement出來,人工review過一遍後再讓copilot寫test cases,結合test case review一遍。debug時間大大減少,很多時候這樣well-tested code組合完都能一遍過,而且知道不用再返工做拆分,心情大為舒暢。
即使是需求變化或者一開始架構設計有問題,後面更改也會更多在architecture上做調整然後讓copilot重寫對應部分。因為具體的implementation基本上不是我自己一行行碼出來的了,所以不會像以前一樣因為覺得敲掉重頭再來很可惜,做調整也會更聚焦於怎麼調整比較符合需求,而不是動歪腦筋怎麼retrofit比較方便。

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