chattr

Github Copilot integration with RStudio, it’s finally here! - posit::conf(2023)

Presented by Tom Mock This talk closes issue #10148, “Github Copilot integration with RStudio”, the most upvoted feature request in RStudio’s history. Code generating AI tools like Github Copilot‚ promise an “AI pair programmer that offers autocomplete-style suggestions as you code”. For the first time, we’ll show a native integration of Copilot into RStudio, helping to build on that promise by providing AI-generated “ghost text” autocompletion with R and other languages. I’ll also provide a comparison of Copilot’s “ghost text” to a chat-style interface in RStudio via the {chattr} package from the Posit MLVerse team. To make the most of these new features, I’ll walk through some examples of how sharing additional context, comments, code, and other “prompt engineering” can help you go from code-generating AI tools that feels like an annoying backseat driver to an experienced copilot. We’ll close with a robust end-to-end example of how these new RStudio integrations and packages can help you be a more productive developer. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Data science infrastructure for your org. Session Code: TALK-1117

chattr rstudio Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Ml

GitHub Copilot in Rstudio, it’s finally here!

Thomas Mock, PhD, Workbench Product Manager at Posit PBC. In this webinar, part of a new quarterly R/Med seminar series, Thomas demonstrates how to set up Copilot in RStudio and then provides examples of using it to generate code by providing context and comments. Some key points covered include: How Copilot works by predicting the next token based on context. Tips for using Copilot effectively, like breaking problems down simply, specifically, and using comments. Examples of Copilot generating functions, tests, and repeating tasks. Using other tools like Chatter to ask questions when stuck. Main Sections 00:00 Intro 01:35 What is generative AI? 04:27 What is Copilot? 08:50 Copilot in RStudio 10:15 Get started 13:01 Getting the most out of the generative loop 15:14 Simple and specific 24:29 Getting stuck? 28:53 {chattr} package 31:17 Generative AI tools with Posit Workbench and RStudio 32:43 Examples using Copilot inside RStudio 51:42 Q&A and RStudio User Guide More Resources R Medicine Virtual Conference 2023: https://www.youtube.com/playlist?list=PL4IzsxWztPdlpR3NqGzUI01M4_jqzIWqo R Consortium https://www.r-consortium.org/ Blog: https://www.r-consortium.org/news/blog Join: https://www.r-consortium.org/about/join Twitter: https://twitter.com/Rconsortium LinkedIn: https://www.linkedin.com/company/r-consortium Mastodon: https://fosstodon.org/@RConsortium