News

ChatGPT's Impact on App-Dev? GitHub Site Gives Instant Insights

GitHub just updated its online open data and insights platform that provides information on the global and local impact of developers, letting users instantly see their own software development trends.

The GitHub Innovation Graph was just updated with Q1 2024 data, adding to data troves that started in Q1 2020. The company launched the tool in 2023 with the purpose of letting anyone -- researchers, policymakers, developers and so on -- access data in order to glean insights on software development trends.

The data is available for download by metric or economy, and visualizes the top programming languages, Git pushes, organizations, developers, licenses and more.

"The last four years of data insights have significantly aided researchers in observing and measuring trends in software development," a spokesperson told Visual Studio Magazine in a July 17 email. "For example, one study uses Innovation Graph data to show how the proliferation of ChatGPT across the world has begun to enhance developer engagement across various programming languages and that, rather than ChatGPT bringing significantly more developers to the field, it's being used to accelerate existing devs' work." See more about that below.

Programming languages are always a hot topic in the software development world, and the tool provides insights into the top languages by country. For example, in the U.S. and globally, JavaScript was the highest ranked programming language based on the number of unique developers who uploaded code, followed by Python and Shell. The tool also lets users track their own areas of interest, such as the ascent of Microsoft's TypeScript language, which has been gaining in popularity:

Ascent of TypeScript
[Click on image for larger view.] Ascent of TypeScript (source: GitHub).

Other insight highlights specific to the U.S. unveiled by the new data include:

  • More than 22,233,000 American developers and over 1,220,000 American organizations are building on GitHub
  • American developers uploaded code to GitHub more than 27.2 million times
  • American developers and/or organizations owned over 60.5 million repositories on GitHub
  • The U.S.' top three collaborators were: United Kingdom, Germany and Canada

GitHub also published a blog post interviewing Alexander Quispe of the World Bank and Rodrigo Grijalba, a data scientist, about how they used the Innovation Graph in their ongoing research. The post explains how they used the tool to estimate the impact of ChatGPT on developer engagement across various programming languages.

Their research specifically analyzed the impact of ChatGPT on the velocity of software development, finding that the availability of ChatGPT:

  • Significantly increased the number of Git pushes per 100,000 inhabitants of each country.
  • Had a positive (although not statistically significant) correlation with the number of repositories and developers per 100,000 inhabitants.
  • Generally enhanced developer engagement across various programming languages. High-level languages like Python and JavaScript showed significant increases in unique developers, while the impact on domain-specific languages like HTML and SQL varied.

"These results would imply that the impact of ChatGPT thus far does not lie in the increase of developers or projects, but in an acceleration of the pre-established development process," the post said.

About the Author

David Ramel is an editor and writer at Converge 360.

comments powered by Disqus

Featured

  • Hands On: New VS Code Insiders Build Creates Web Page from Image in Seconds

    New Vision support with GitHub Copilot in the latest Visual Studio Code Insiders build takes a user-supplied mockup image and creates a web page from it in seconds, handling all the HTML and CSS.

  • Naive Bayes Regression Using C#

    Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other machine learning regression techniques, naive Bayes regression is usually less accurate, but is simple, easy to implement and customize, works on both large and small datasets, is highly interpretable, and doesn't require tuning any hyperparameters.

  • VS Code Copilot Previews New GPT-4o AI Code Completion Model

    The 4o upgrade includes additional training on more than 275,000 high-quality public repositories in over 30 popular programming languages, said Microsoft-owned GitHub, which created the original "AI pair programmer" years ago.

  • Microsoft's Rust Embrace Continues with Azure SDK Beta

    "Rust's strong type system and ownership model help prevent common programming errors such as null pointer dereferencing and buffer overflows, leading to more secure and stable code."

  • Xcode IDE from Microsoft Archrival Apple Gets Copilot AI

    Just after expanding the reach of its Copilot AI coding assistant to the open-source Eclipse IDE, Microsoft showcased how it's going even further, providing details about a preview version for the Xcode IDE from archrival Apple.

Subscribe on YouTube

Upcoming Training Events