Microsoft’s Visual Studio Code has folded Anthropic’s Claude 4 into its Copilot toolkit, and the result is a turning point for AI-assisted development: auto model selection in VS Code will now choose Claude Sonnet 4 as the primary backend for many paid Copilot users, while Anthropic’s Claude...
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auto model selection
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claude sonnet 4
cli integration
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copilot
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developer productivity
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Microsoft has quietly begun a major pivot in the architecture that powers the AI features inside Office apps: Copilot will now route select workloads to Anthropic’s Claude family — notably the Sonnet 4 models — while continuing to use OpenAI models and Microsoft’s own engines where they remain...
ai-orchestration
anthropic
anthropic claude
aws bedrock
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copilot
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data-residency
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microsoft
microsoft copilot
model diversification
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office ai
openai partnership
Microsoft’s Office productivity stack is entering a new phase: after years of deep reliance on OpenAI, Microsoft will begin routing select Copilot workloads inside Word, Excel, PowerPoint and Outlook to Anthropic’s Claude Sonnet 4 models, creating a multi‑model Copilot that assigns the “right...
Microsoft’s Office productivity stack is entering a new phase: after years of leaning hard on OpenAI, Redmond is reportedly adding Anthropic’s Claude family to the mix and routing certain Copilot workloads to the company’s Sonnet models — a pragmatic pivot toward multi‑vendor, workload‑specific...
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office 365
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Microsoft has quietly begun the most consequential recalibration of its productivity‑AI stack since Copilot’s debut: Office 365 will now route select Copilot workloads to Anthropic’s Claude family—most notably the Sonnet 4 lineage—alongside continued use of OpenAI models and Microsoft’s own...
ai governance
anthropic
anthropic claude
aws bedrock
claude sonnet 4
compliance logging
copilot
copilot multi-model
cross-cloud data flows
cross-cloudinference
data residency
enterprise it
google vertex ai
latency
model orchestration
model routing
office 365 copilot
openai
pricing and licensing
telemetry and reproducibility