![]() ![]() Scaffolding: “I have been using it mainly to get basic structure ready without typing it all out by myself. Productivity (AI coding tools & Generative AI) As one respondent shared: “it breaks the initial barrier of ‘where to begin?’” Generating code for greenfield tasks or projects is also a common use case. ![]() ![]() Getting started: kicking off new projects and tasks, and overcoming initial barriers. Another use case is to input code and ask ChatGPT to refactor it. Improving code quality: by asking ChatGPT to do this, or asking it to criticize the code. Researching new topics is also a common use case. Interestingly, the use case of learning unfamiliar topics was mentioned most frequently in the context of ChatGPT. New concepts, tools and frameworks, and research. Organizing the most common use cases mentioned from The productivity impact of AI coding tools in the three categories from the GitHub survey: These findings chime with the biggest productivity gains developers mention in the article on AI coding tools, from using AI coding tools like Copilot, or generative AI tools like ChatGPT. Productivity : become more productive (53%)įocus : spend more time building and creating, less on repetitive tasks (51%) Learn : Develop coding language skills (57%) What do AI coding tools help the most with? The survey lists the top 3 areas mentioned by developers: But this research indicates these tools have spread far and wide. While I know of few developers who don’t occasionally use ChatGPT, or have not tried an AI coding assistant, I always assumed this must be within my bubble. 92% of respondents use AI coding tools at workīack in April, we covered the productivity impact of AI tools, based on a survey of engineers who’ve been using AI coding tools for some time. ![]()
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