Copilot Workspace for AI Coding Experience: New from GitHub

Over the past two years, generative AI has radically transformed software development, evolving from a tool integrated within programming environments to a complete redefinition of the developer experience.

In 2022, GitHub released Copilot, an autocomplete assistant acting as a paired programmer, boosting productivity by up to 55%. Over time, Copilot became the most widely adopted AI tool for developers worldwide.

A year later, in 2023, GitHub introduced Copilot Chat, enabling developers to interact with their code in natural language, improving real-time debugging, testing, and coding.

Today, GitHub is taking an even bigger step with the technical preview of GitHub Copilot Workspace, a native AI development environment designed to transform the way programmers plan, create, and run software.

A Copilot-native environment: from concept to code in natural language

With Copilot Workspace, developers can think, plan, build, test, and run code using only natural language. This environment, built on AI-powered agents, not only speeds up development but also keeps control in the hands of the programmer, acting as a copilot at every stage of the process.

Rather than replacing human creativity, Copilot Workspace is designed to enhance imagination and accelerate the development process. The platform allows experienced developers to work more strategically and lowers the barrier to entry for those who are new to programming.

How does GitHub Copilot Workspace work?

The process in Copilot Workspace is based on three phases:

1️⃣ Start with a task

The biggest challenge for developers is often starting a new project.
Copilot Workspace addresses this issue at its source: a GitHub repository or a GitHub Issue.

With help from Copilot agents, programmers can get assistance from the very first line of code.

2️⃣ Genera un plan completo

Once the task is defined, Copilot Workspace proposes a step-by-step plan based on existing code, Issue discussions, and other relevant data.

Developers can validate and modify the plan in natural language before implementing it.

3️⃣ Fully editable code

Every part of the suggested code is editable, allowing for real-time iterations and improvements.

Once satisfied with the outcome, developers can run the code directly in Copilot Workspace or export it to GitHub Codespaces.

Team collaboration is smoother: developers can share their workspace with a simple link for review and testing.

As a final step: once development is complete, a pull request can be opened, GitHub Actions can be executed, a security scan of the code can be performed, and a review can be requested from team members.

Copilot Workspace is mobile-friendly

GitHub has designed Copilot Workspace to be accessible from any device, allowing developers to work from a desktop, laptop, or even on the go.

“This is our legacy for the future of software development,” says the GitHub team. “An intuitive, Copilot-powered infrastructure that makes learning and execution easier.”

Last year, GitHub celebrated reaching 100 million developers on its platform. With tools like Copilot Workspace, the company aims to speed up growth toward a world where one billion people can code as naturally as they ride a bike.

Still, despite the AI boom, there remains a shortage of professional developers worldwide. Programmers currently produce millions of lines of code every day, yet maintaining legacy systems continues to be a challenge.

GitHub bets that combining Copilot and Copilot Workspace will significantly reduce repetitive work, allowing developers to focus on solving systemic problems.

A new era of development has begun

With GitHub Copilot Workspace, AI is no longer just an assistant within the development environment—it’s now a fundamental part of it.

From the initial idea to code deployment, Copilot Workspace promises to transform creativity into software more quickly, collaboratively, and intuitively than ever before.

Welcome to the first day of the future of development.