AI-assisted programming: applications, user experiences, and neuro-symbolic techniques (keynote)

Abstract

AI can enhance programming experiences for a diverse set of programmers: from professional developers and data scientists (proficient programmers) who need help in software engineering and data wrangling, all the way to spreadsheet users (low-code programmers) who need help in authoring formulas, and students (novice programmers) who seek hints when stuck with their programming homework. To communicate their need to AI, users can express their intent explicitly—as input-output examples or natural-language specification—or implicitly—where they encounter a bug (and expect AI to suggest a fix), or simply allow AI to observe their last few lines of code or edits (to have it suggest the next steps).

BibTeX

@inproceedings{Gulwani:FSE22,
  author    = {Sumit Gulwani},
  title     = {{AI-assisted} programming: applications, user experiences, and neuro-symbolic techniques (keynote)},
  booktitle = {{ESEC/SIGSOFT} {FSE}},
  pages     = {1},
  publisher = {{ACM}},
  year      = {2022},
}

AI-assisted programming: applications, user experiences, and neuro-symbolic techniques (keynote)

Abstract

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