Archive
Tag: GitHub
Microsoft Debuts MAI-Thinking-1, Its First In-House Reasoning Model
For most of the generative AI era, Microsoft has been the most prominent buyer of someone else’s intelligence. Its Copilot stack runs on OpenAI’s GPT models. Azure customers reach for frontier reasoning through the partnership. The arrangement has worked, and it has also been a structural dependency that the company has spent the last year […]
GitHub Copilot Now Automates Java and .NET App Modernization
GitHub’s AI coding assistant is taking on app modernization, helping developers complete in days what once took far longer. Microsoft is rolling out new capabilities that automate Java and .NET upgrades, as well as convert legacy applications to run on Azure. The update to GitHub Copilot is part of a larger announcement in which Microsoft […]
The New GitHub Copilot Agent Doesn’t Just Help You Code—it Codes for You
GitHub’s coding assistant has leveled up, shifting from an in-editor assistant to an autonomous agent capable of implementing tasks or issues. This is an escalation in the vibe coming space and takes place four years after GitHub Copilot was first introduced. Internally dubbed Project Padawan, the new GitHub Copilot coding agent brings deeper integration of […]
Augment Code Unveils AI-Powered Coding Tool to Challenge GitHub Copilot’s Dominance
Six months after raising a $227 million Series B round of funding, Augment Code is finally revealing its secret: it’s building an alternative to GitHub’s Copilot. It’s billed as a developer AI made for teams capable of understanding codebase and how engineers build software. “Our deep understanding of our customer’s software and how it is […]
GitHub: Developers Have Embraced AI, but Companies Are Slow to Catch Up
Software developers in the workplace have embraced artificial intelligence as an integral part of helping them do their jobs. A new study from GitHub reveals that 97 percent of engineers are using AI coding tools at some point. However, the companies they work for have been much slower in adopting AI tools and technologies—40 percent […]