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It's no secret that AI is starting to play a pivotal role in the life of developers. Over the past two years, seasoned and junior devs alike have been using AI to bash bugs, fix syntax, and even code up entire apps.
Now GitHub wants to take it one or maybe two steps further with the launch of GitHub Copilot Workspace, an update of its code completion tool, Copilot.
Copilot Workspace is designed to inject AI into every stage of the development process. Developers can use it to brainstorm an idea, scope out a project, code, test, and debug the end product.
According to the announcement, Workspace will be directly integrated into Github repositories and or libraries. From there, developers can describe through prompts what they want done for the project, Copilot will then come back with its own suggestions which the user can accept, decline, or change.
Once you're happy with the final plan, Copilot can help you complete the code, run it, and eventually finish the project all with a big helping hand from AI.
Of course, GitHub isn't the only company trying to stage an AI-developer-led revolution. Devin by the folks over at Cognition is a developer AI of the same breath and it was marketed as the first ever fully AI developer, although, its quality has been called into question.
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We've been sharing shoutouts by launching makers to let you know what products are poppin off in startup stacks. Now you can see them for yourself at producthunt.com/shoutouts.
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Copilots for code are all the rage lately (like the one I shared above), but Copilots exist for a lot of different reasons. Monterey is a Copilot for product insights. It uses AI to aggregate, triage, and analyze user feedback across support tickets, sales calls, and interviews.
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