Your curated GitHub Universe agenda: AI, ethics, and productivity
Gain actionable insights about the intersection of AI and human skills, while tackling ethics, accessibility, and productivity at these GitHub Universe sessions.
Tag
Gain actionable insights about the intersection of AI and human skills, while tackling ethics, accessibility, and productivity at these GitHub Universe sessions.
Open source generative AI projects are a great way to build new AI-powered features and apps.
Get a sneak peek into the must-attend sessions, speakers, workshops, and GitHub certifications available at our global developer event.
All GitHub Copilot for Individuals users now have access to GitHub Copilot Chat beta, bringing natural language-powered coding to every developer in all languages.
GitHub’s design experts share 10 tips and lessons for designing magical user experiences for AI applications and AI coding tools.
We're thrilled to announce two major updates to GitHub Copilot code Completion's capabilities that will help developers work even more efficiently and effectively.
Sharing our coalition paper to inform the final negotiation of the EU AI Act.
In this step-by-step tutorial, you will learn how to use GitHub Copilot to build an application with OpenAI’s gpt-3.5-turbo model.
We’re launching the GitHub Copilot Trust Center to provide transparency about how GitHub Copilot works and help organizations innovate responsibly with generative AI.
It's been a while since we've published our Release Radar. You can blame IRL conferences coming back, getting influenza, and being struck down by the weather. But those are just…
Today at Collision Conference we unveiled breaking new research on the economic and productivity impact of generative AI–powered developer tools. The research found that the increase in developer productivity due to AI could boost global GDP by over $1.5 trillion.
We surveyed 500 U.S.-based developers at companies with 1,000-plus employees about how managers should consider developer productivity, collaboration, and AI coding tools.
Developers behind GitHub Copilot discuss what it was like to work with OpenAI’s large language model and how it informed the development of Copilot as we know it today.
With a new Fill-in-the-Middle paradigm, GitHub engineers improved the way GitHub Copilot contextualizes your code. By continuing to develop and test advanced retrieval algorithms, they’re working on making our AI tool even more advanced.
Here’s how, in seven steps, I built my first browser extension with GitHub Copilot—and my three major takeaways about learning and pair programming in the age of AI.