We also heavily publish in top-tier conferences, which gained significant recognition and delivered impact over the broader research community. We advance the state of the art in program synthesis through innovations and deliver these innovations in mass-market products, as indicated by active customer usage and testimonials. We own part of the AI surface for mass-market products over four customer segments: developers ( Visual Studio, VS Code), data scientists ( Notebooks), low-code/no-code users ( Excel, Power Apps, Power Automate, Power Query), and students ( Github Education). ![]() ![]() Moreover, PBE is revolutionizing data wrangling as well, as data scientists spend up to 80% time transforming data into a form suitable for machine learning (ML). About 99% of computer users are non-programmers and PBE can enable them to create small scripts to automate repetitive tasks. ![]() PBE can provide a 10-100x productivity increase for developers in some task domains. Programming by examples (PBE) is a new frontier in AI that enables users to create scripts from input-output examples. The PROSE research and engineering team, led by Sumit Gulwani, develops program synthesis APIs over a wide variety of modalities-programming by examples (PBE), natural language, temporal context-with applications in diverse areas such as assisting sloppy programmers through automatic program repair and conversational AI.
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