Microsoft engineer says "typing code is absolutely over," and Windows 11 is already being built that way

A Microsoft engineer publicly declared that "typing code is absolutely over," linking the comment to the ongoing development of Windows 11, which the engineer says is already being built using AI‑assisted methods. On the same day, Microsoft announced that Copilot Code Review is now available in Azure Repos and that the service will bill customers per review, signaling a shift toward monetized AI assistance in the software lifecycle. Coverage of the statement appears across four technology outlets. TechSpot published an explanatory piece that unpacks the engineer’s meaning and situates it within Microsoft’s broader AI strategy.

HotHardware echoed the headline, emphasizing the definitive tone of the engineer’s claim. Windows Latest focused on the practical implication for the upcoming Windows 11 release, noting that the operating system’s codebase is being assembled with AI tools rather than traditional hand‑typing. TechGig reported on the new Azure Repos feature, highlighting the per‑review billing model and its potential impact on development teams. The reports place the announcement within the context of Microsoft’s expanding Copilot ecosystem, which has been integrating generative AI into development environments for several years.

By moving from manual code entry to AI‑generated snippets and reviews, Microsoft aims to accelerate development cycles and reduce human error. The billing approach introduced for Copilot Code Review reflects a broader industry trend toward usage‑based pricing for AI services, aligning cost with the frequency of AI assistance. Future coverage will likely track how the AI‑centric build process influences Windows 11’s release schedule and feature set, as well as developer adoption of the billed Copilot Code Review in Azure Repos. Observers will watch for additional statements from Microsoft engineers, updates to the pricing model, and any feedback from the developer community regarding the practicality of relying on AI for core code generation.