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Average age: 23.5
Average age: 23.5
Participants are undergraduate and graduate students majoring in Computer Science, who with a decent programming background.
Proficiency in Python: 3.7/5
Proficiency in Python: 3.7/5
Participants had a decent average estimation on their own Python specialty.
Proficiency in using LSP services: 3.7/5
Proficiency in using LSP services: 3.7/5
Participants use LSP services in their daily programming with relatively high frequency.
Frequency in using VS Code and extensions: 4.2/5
Frequency in using VS Code and extensions: 4.2/5
Participants had a high frequency in using VS Code and its extensions for programming.
Frequency in using AI programming assistants: 3.5/5
Frequency in using AI programming assistants: 3.5/5
Most participants have been using AI programming assistants like Copilit in their daily life.
Confidence of completing edit tasks: 3.4/5
Confidence of completing edit tasks: 3.4/5
Most participants are positive about completing the assigned editing task.
Expectancy on extension: 4/5
Expectancy on extension: 4/5
Participants showed high expectancy on an extension to assist them during the code editing session.
Most used AI programming features:
Most used AI programming features:
Code completion remains the most used AI programming feature, for the widespread usage of tools like Copilot. Subsequent edit suggestion is also frequently used by almost half of the participants.
AI programming tools used:
AI programming tools used:
Participants have a relatively broad understanding of AI programming tools.
Preferred edit recommendation style:
Preferred edit recommendation style:
Participants prefer subsequent edit prediction over rewrite style recommendation.
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