{"id":1024584,"date":"2024-05-02T11:46:14","date_gmt":"2024-05-02T18:46:14","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&p=1024584"},"modified":"2024-05-02T11:46:16","modified_gmt":"2024-05-02T18:46:16","slug":"ai-and-software-engineering-research-initiative","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/ai-and-software-engineering-research-initiative\/","title":{"rendered":"AI and Software Engineering Research Initiative"},"content":{"rendered":"\n
\"AI-generated<\/figure>\n\n\n\n

AI is not only software-based but also transforms the way we create software. Tools like GitHub Copilot affect the processes of building, testing, and delivering software. This workstream aims to examine how AI can and should influence software engineering – including its effects on developers, how it improves developer efficiency, how it can assist in keeping software safe, and what the potential risks are.<\/p>\n\n\n\n

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\n\t\t\t\t\t\tPublication<\/span>\n\t\t\tTaking Flight with Copilot: Early insights and opportunities of AI-powered pair-programming tools<\/span> <\/span><\/a>\t\t\t\t\t<\/div>\n\t<\/article>\n<\/div>\n<\/div>\n\n\n\n
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\n\t\t\t\t\t\tPublication<\/span>\n\t\t\tThe Impact of AI on Developer Productivity: Evidence from GitHub Copilot<\/span> <\/span><\/a>\t\t\t\t\t<\/div>\n\t<\/article>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

Leads<\/h3>\n\n\n\n
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Jenna Butler<\/a><\/h5>\n\n\n\n

Principal Applied Research Scientist<\/p>\n<\/div>\n\n\n\n

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Ben Hanrahan<\/h5>\n\n\n\n

Senior UX Researcher<\/p>\n<\/div>\n\n\n\n

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Researchers<\/h3>\n\n\n\n

There are many researchers from across Microsoft working on this initiative:<\/p>\n\n\n\n

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