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AI tools are transforming software development by freeing developers from repetitive tasks, fostering creativity, and enabling meaningful contributions across organisations. Chris Reddington from GitHub explains how...

GitHub Next launched the technical preview for GitHub Copilot Workspace in April 2024. Since then, we’ve been listening to the community, learning, and have some tips to share on how to get the most out of it!

AI coding tools are not just for the production of code, they accelerate existing processes, help developers learn and drive innovation

AI-powered software is not just about integrating new tools

Generative AI offers a way to transform developer productivity, by expediting a cultural shift in the way enterprises organise themselves

Thanks to DevOps, cloud computing and other industry trends, many organizations are shifting from a product mindset to a service mindset. Here’s how you can implement a service-led strategy.

Could we use our Git repository as the source of truth for operational tasks, and somehow reconcile changes with our real-world view?

Explore how generative AI coding tools are changing the way developers and companies build software.

Consider the typical software development practices in an organization. Projects are commonly closed, and causes friction across engineering teams. But open source communities work asynchronously, openly, remotely and at global-scale. What if our internal teams could reuse those same practices?

Many of us are aware of the benefits that a strong focus on automation can bring, particularly in our development workflow and DevOps lifecycle. But silos across businesses can lead to duplication of effort, and potential to lose out on best practices. In this post, we’ll explore how CI/CD can be shared across your entire organization alongside policies, for a well-governed experience with GitHub Actions.