How to code with GitHub Copilot?
Engr. Jalal Saleem
Electrical Engineer|ML Engineer |Data Analyst| Computer Vision |Graphic Designer|Social Media Marketer|Microsft Specialist
A recent study by GitHub and Microsoft discovered that AI now authors 46% of new code. They also found that overall developer productivity surged by 55%, leading to more efficient coding processes. When we talk about AI-powered coding, we mainly talk about GitHub Copilot.
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The process goes in the following steps:
??. ???????????? ???????????? ????????????????????????: Your prompts are securely sent to Copilot, ensuring data privacy.
??. ???????????????????? ??????????????????????????: Copilot analyzes the code around your cursor, the file type, and other open files to offer relevant suggestions.
??. ?????????????? ??????????????????: It filters out personal data and inappropriate content, focusing solely on generating helpful code.
??. ???????? ????????????????????: Based on the intent identified in your prompts, Copilot crafts code suggestions that align with your coding style and project standards.
??. ???????? ??????????????????????: Here, we can decide whether to use, tweak, or reject Copilot's suggestions.
??. ???????????????? ????????: Copilot learns from your interactions, improving its suggestions. Every time you tweak or reject its ideas, he knows from it. It employs techniques like zero-shot (asking without examples), one-shot (asking with an example), and few-shot learning (providing multiple examples) to adapt to our instructions, whether you provide examples or not.
??. ???????????? ?????????????? ??????????????????: It remembers past prompts and interactions, making future suggestions more accurate.
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