GitHub Copilot Enterprise is now generally available
Our most advanced AI offering to date is customized to your organization’s knowledge and codebase, infusing GitHub Copilot throughout the software development lifecycle.
Since the early days of GitHub Copilot, our customers have asked us for a copilot that is customized to their own organization’s code and processes. Developers spend more time deciphering rather than shipping when they can’t pinpoint and solve the issues, bugs, or vulnerabilities that are unique to their organization’s codebase. What’s more, developers often write code for only a couple hours a day and, instead of being creative, are bogged down with mundane tasks throughout their day. The inaccessibility of institutional knowledge acts as a blockade preventing developers from fully exercising their creativity and building more for you.
We’re changing that.
Just by integrating generative AI into the editor, GitHub Copilot has quickly defined a new age of software development, resulting in clear gains of developer productivity and happiness. Today, we are bringing the next frontier of developer tools with the general availability of GitHub Copilot Enterprise–a companion that places the institutional knowledge of your organization at your developers’ fingertips. Now, team members can ask questions about public and private code, get up to speed quickly with new codebases, build greater consistencies across engineering teams, and ensure that everyone has access to the same standards and work that’s previously been done. Let’s jump in.
A conversational and customized GitHub Copilot experience
GitHub Copilot Enterprise comes with three core features:
1. Gain a deeper understanding of your organization’s unique codebase. Copilot Enterprise streamlines code navigation and comprehension for developers, enabling faster feature implementation, issue resolution, and code modernization. It empowers junior developers to contribute quicker, assists senior developers in handling live incidents, and aids in modernizing aging codebases by offering clear code summaries, relevant suggestions, and quick answers to queries about code behavior.
2. Quickly access organizational knowledge and best practices. Copilot Enterprise integrates chat directly into GitHub.com, enabling developers to ask questions and receive answers in natural language on your codebase, and will guide them to relevant documentation or existing solutions. This can facilitate rapid iteration at scale while improving code with personalized assistance and suggestions tailored to an organization’s specific codebase and standards.
3. Review pull requests faster. With generated pull request summaries, developers can spend less time drafting and more time merging. And with Copilot Enterprise’s capability to analyze pull request diffs, reviewers can quickly get up to speed with proposed changes and save time understanding the changes while spending more time providing valuable feedback.
As the technology landscape continues to rapidly evolve, we are expanding capabilities of GitHub Copilot to not only understand your own internal knowledge bases, but to bring in the latest information from the internet as well. By integrating Bing search directly into Copilot Chat—available in beta for GitHub Copilot Enterprise—you can find the latest software development-related information like updates to CSS or JavaScript frameworks. This means GitHub Copilot can now help your developers explore their curiosity and gain outside knowledge near instantly, at scale.
We’re already hearing from engineering leaders about the benefits they’re seeing from Copilot Enterprise:
In a large enterprise like TELUS, the main challenges are breaking silos and sharing collective knowledge. With Copilot Enterprise, our developers and non-developers can more quickly digest a codebase or pull request no matter the language or framework. This agility allows our teams to go deeper and broader in building products and improving our engineering foundations.
- Wai Ho Choy, Technical Lead // TELUS
Personalized, natural language recommendations are now at the fingertips of all our developers at Figma. Copilot Enterprise has improved collaboration across the SDLC by making it easier for our engineers to source and find information via Copilot Chat. We're also seeing a significant increase in overall developer productivity. Our engineers are coding faster, collaborating more effectively, and building better outcomes.
- Tommy MacWilliam, Engineering Manager for Infrastructure // Figma
GitHub Copilot is becoming an integral part of the developer experience. Its capabilities, such as quickly understanding existing codebases, analyzing code, and accessing knowledge bases, enables developers to concentrate more on what truly counts: delivering impactful results. And not only can they be more productive, developers will be more happy and fulfilled, too.
Our vision extends to making conversational capabilities ubiquitous by integrating context-driven and customized assistance across the GitHub platform. Throughout the development and evolution of GitHub Copilot, we have always placed a priority on security, privacy, compliance, and transparency—and we’ve made that a key focus of GitHub Copilot Enterprise as well. We do not use any of your organization’s private repositories or prompts and suggestions to train the machine learning models that power our products, unless you expressly instruct us to do so, for example with custom models.
Accenture research shows the productivity impact of GitHub Copilot in the enterprise
Building on the proven success of GitHub Copilot
In the last year, we collaborated with Accenture to evaluate the impact of GitHub Copilot on accelerating innovation within a real-world, enterprise environment. Here’s what we found:
GitHub Copilot helped developers at Accenture stay in the flow and minimize interruptions. 94% of developers reported that using GitHub Copilot helped them remain in the flow and spend less effort on repetitive tasks. And 90% of developers spent less time searching for information.
GitHub Copilot helped developers push better quality code to production. Developers retained 88% of the code suggested by GitHub Copilot in the editor and around 90% of developers reported that they committed code containing Copilot suggestions.
GitHub Copilot helped developers write better code and upskill while working. 90% of developers reported writing better code with GitHub Copilot—and roughly 95% of developers learned from Copilot suggestions.
And this was all just with GitHub Copilot as an autocomplete function in the editor. With GitHub Copilot Enterprise, we are building on top of the demonstrated results, dramatically multiplying existing GitHub Copilot productivity gains by adding extensive customization to enable organizations and engineering teams to accomplish more, faster and happier.
Available today
The age of copilots has begun. In this new frontier of software development, copilots are ubiquitous, customized, and always at your side. With GitHub Copilot Enterprise we’re bringing the industry’s premier AI developer tool available to every organization for just $39 per user per month. Built with the world’s leading large language model, customized to your organization, and deeply integrated into GitHub’s surfaces, GitHub Copilot Enterprise brings immense value to every organization.
Alongside GitHub Enterprise, our end-to-end developer platform, organizations of any size can now start integrating generative AI across the software development lifecycle—from understanding existing code and internal best practices to fixing bugs and improving functionality to accelerated code reviews and beyond.
Collaboration between humans and intelligent machines will redefine the possibilities of innovation, unlocking novel solutions, and accelerating the pace of software development like never before. Ready to harness the power of GitHub Copilot Enterprise today? Learn more or get started now.
Fascinated by software development since his childhood in Germany, Thomas Dohmke has built a career building tools developers love and accelerating innovations that are changing software development. Currently, Thomas is Chief Executive Officer of GitHub, where he has overseen the launch of the world's first at-scale AI developer tool, GitHub Copilot -- and now, GitHub Copilot X. Before his time at GitHub, Thomas previously co-founded HockeyApp and led the company as CEO through its acquisition by Microsoft in 2014, and holds a PhD in mechanical engineering from University of Glasgow, UK.
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