GitHub introduces a new platform for automated development.
GitHub has announced Copilot Workspace — a fundamentally new development environment with artificial intelligence. Using natural language, programmers can generate ideas, plan, create, test, and run code faster and easier. After the first announcement at the user conference in 2023, the GitHub Copilot Workspace is now available in a technical preview, and interested professionals can join the waiting list.
But wait, GitHub launched the Copilot programmer assistant back in 2021. What is the difference between Copilot and Copilot Workspace? According to Jonathan Carter, head of the GitHub Next team for applied research and development, the original Copilot complements the idea already started, synthesizes code in a single file, reduces context switching and performs many other useful functions.
However, the original Copilot has natural limitations that are "a side effect of the user experience it provides."
Copilot Workspace, in turn, "works at a higher level of complexity, focusing on tasks and trying to reduce the effort required to complete them." As the head of GitHub Next explains, this is not an autonomous agent that replaces developers, but a tool for expanding their creativity.
Copilot Workspace has four key features. The first of them is full editability at all stages. Everything that AI offers, from plans to source code, the developer can change at any time, while continuing to control the entire process.
A terminal with secure port transfer is integrated in the environment. It allows you to run linters, builds, tests, and the program itself directly in the browser for health checks.
Workspace also supports collaborative functionality, enabling programmers to create software together.
Finally, the fourth key feature is optimization for mobile devices, including smartphones.
GitHub expects that thanks to the ability to collaborate in Workspace, the decision-making process will become more transparent. As Carter explains, if someone mentions a client's request during a team meeting, then using Workspace, this idea can be quickly transformed into a task, and the environment will clearly present the approximate amount of work, complexity, and implementation paths.
For enterprise developers, the main benefits of Copilot Workspace, according to GitHub, will be increased productivity and job satisfaction. The company believes that the more accessible project planning is and the lower the time spent on their implementation, the more flexible and efficient even large organizations will be able to work.
Carter suggests that the Workspace functionality will be expanded in the future. In particular, it is planned to integrate company practices and development guidelines. AI will be able to automatically apply these recommendations when generating code, without requiring reminders from specialists.
Having a structured environment that models your workflow in a specific way will also help you align skills between teams. More ready-made approaches will appear within companies, and you will not have to spend a lot of resources on employee development and training.
At the moment, Copilot Workspace is only available in a technical preview, and the company does not name a full release date. However, over time, GitHub can expand the circle of users to get quick feedback, in particular, by opening access to startups and representatives of small and medium-sized businesses.
GitHub has announced Copilot Workspace — a fundamentally new development environment with artificial intelligence. Using natural language, programmers can generate ideas, plan, create, test, and run code faster and easier. After the first announcement at the user conference in 2023, the GitHub Copilot Workspace is now available in a technical preview, and interested professionals can join the waiting list.
But wait, GitHub launched the Copilot programmer assistant back in 2021. What is the difference between Copilot and Copilot Workspace? According to Jonathan Carter, head of the GitHub Next team for applied research and development, the original Copilot complements the idea already started, synthesizes code in a single file, reduces context switching and performs many other useful functions.
However, the original Copilot has natural limitations that are "a side effect of the user experience it provides."
Copilot Workspace, in turn, "works at a higher level of complexity, focusing on tasks and trying to reduce the effort required to complete them." As the head of GitHub Next explains, this is not an autonomous agent that replaces developers, but a tool for expanding their creativity.
Copilot Workspace has four key features. The first of them is full editability at all stages. Everything that AI offers, from plans to source code, the developer can change at any time, while continuing to control the entire process.
A terminal with secure port transfer is integrated in the environment. It allows you to run linters, builds, tests, and the program itself directly in the browser for health checks.
Workspace also supports collaborative functionality, enabling programmers to create software together.
Finally, the fourth key feature is optimization for mobile devices, including smartphones.
GitHub expects that thanks to the ability to collaborate in Workspace, the decision-making process will become more transparent. As Carter explains, if someone mentions a client's request during a team meeting, then using Workspace, this idea can be quickly transformed into a task, and the environment will clearly present the approximate amount of work, complexity, and implementation paths.
For enterprise developers, the main benefits of Copilot Workspace, according to GitHub, will be increased productivity and job satisfaction. The company believes that the more accessible project planning is and the lower the time spent on their implementation, the more flexible and efficient even large organizations will be able to work.
Carter suggests that the Workspace functionality will be expanded in the future. In particular, it is planned to integrate company practices and development guidelines. AI will be able to automatically apply these recommendations when generating code, without requiring reminders from specialists.
Having a structured environment that models your workflow in a specific way will also help you align skills between teams. More ready-made approaches will appear within companies, and you will not have to spend a lot of resources on employee development and training.
At the moment, Copilot Workspace is only available in a technical preview, and the company does not name a full release date. However, over time, GitHub can expand the circle of users to get quick feedback, in particular, by opening access to startups and representatives of small and medium-sized businesses.
