~/talk

Grounded Copilot: How Programmers Interact with Code-Generating Models

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Study watches 20 programmers across four tasks and languages and builds a grounded-theory claim that interactions with Copilot are bimodal: acceleration mode where programmers have a plan and accept short, low-edit completions, and exploration mode where uncertain programmers use long, multi-line suggestions as jumping-off points. Experts explore less; novice or new Copilot users explore more. Tasks include unfamiliar APIs (custom crypto, networking, chat server) and a programming contest. Recommendation: models detect mode, surface intermediate values, integrate LSPs, and help distinguish multiple suggestions.

AI-written summary · about

  1. 0:00Welcome to Grounded Copilot
  2. 0:21Code-generating models overview
  3. 1:23Study method and tasks
  4. 2:05Acceleration vs exploration theory
  5. 4:13Theoretical findings
  6. 4:55Acceleration mode examples
  7. 6:00Exploration mode examples
  8. 7:03Acceleration vs exploration
  9. 11:43Quantitative analysis and behavior
  10. 12:26Future tools recommendations
  11. 14:31Validation challenges
  12. 16:16Acknowledgments
  13. 16:42Q&A
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