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AI Coding Live News

First-hand AI coding updates from 𝕏/Twitter frontier labs and researchers, distilled by AI with entity benchmarks.

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AI Coding Live News

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Satya Nadella@satyanadella·
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Microsoft FY27 Q1: Azure growth accelerates to 48%, Foundry revenue more than triples, and Agent 365 now governs 50M agents

On Oct 28, Microsoft reported results for its fiscal Q1 2027, the quarter ended Sep 30: revenue of $92.3B (+19%), Microsoft Cloud revenue of $63.9B (+30%), Azure growth accelerating from 42% last quarter to 48%, and commercial remaining performance obligation of $677B (+73%). CEO Satya Nadella added AI figures on X: Foundry revenue more than tripled year over year, revenue from open source models grew 10x, Copilot daily users grew nearly 50% quarter over quarter, and Agent 365 now holds over 50M agents. Separately, TechCrunch, citing Microsoft's regulatory filing, reports $10B of revenue from OpenAI-related commercial arrangements this quarter.

Microsoft FY27 Q1: Azure growth accelerates to 48%, Foundry revenue more than triples, and Agent 365 now governs 50M agents

Key Takeaways

  • Revenue of $92.3B (+19%) and operating income of $45.9B (+21%); Microsoft Cloud reached $63.9B (+30%) (earnings release)
  • Azure grew 48%, accelerating from 42% in FY26 Q4; commercial RPO reached $677B (+73%) (official investor metrics)
  • Foundry revenue more than tripled YoY, customers building with multiple models grew 5x, and open source model revenue grew 10x (per Satya Nadella on X)
  • Copilot daily users grew nearly 50% QoQ and more than 5x YoY; Agent 365 holds over 50M agents, up 30% QoQ
  • Per TechCrunch citing the 10-Q, OpenAI-related revenue was $10B, about 11% of the total; OpenAI investments added $207M to GAAP net income
Read full story
Linked Models & Agents:
🤖 Microsoft 365 Copilot🤖 GitHub Copilot🤖 Agent 365🌐 Microsoft🌐 OpenAI
#Microsoft#Earnings#Azure#Foundry#Copilot#Agent 365
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ClaudeDevs@ClaudeDevs·
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Claude Opus 5.5 fast mode leaves research preview and drops the waitlist: same model, up to 2.5x output speed at $8/$40 per MTok

On 2026-10-15 Anthropic moved Claude Opus 5.5 fast mode out of research preview and removed the waitlist: no access request and no fast-mode-2026-02-01 beta header needed, just speed: "fast". Same weights, up to 2.5x output tokens/sec per Anthropic, at 2x standard price ($8/$40 per MTok). Start/Build/Scale tiers get a default fast rate limit; it is live on Microsoft Foundry (Azure-hosted) with Google Cloud coming soon. Opus 5 and Opus 4.8 fast mode remain in research preview.

Key Takeaways

  • Pricing: Opus 5.5 fast is $8/$40 per MTok, 2x the $4/$20 standard; Opus 5/4.8 fast stay in preview at $10/$50 (docs)
  • Speed: up to 2.5x output tokens/sec per Anthropic; gains are OTPS, not TTFT; same weights
  • Access: no request and no beta header; default dedicated fast limits on Start/Build/Scale tiers (release notes)
  • Platforms: Claude API (incl. Managed Agents) and Microsoft Foundry Azure-hosted; Google Cloud coming soon; not on Batch API, Priority Tier, or Claude Platform on AWS
  • Gotchas: switching speeds invalidates the prompt cache; 429 on limit; check usage.speed
Read full story
Linked Models & Agents:
⚡ Claude Opus 5.5⚡ Claude Opus 5⚡ Claude Opus 4.8🤖 Claude Managed Agents🌐 Anthropic🌐 Microsoft
#Anthropic#Claude Opus 5.5#fast mode#API#Pricing#Microsoft Foundry
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Microsoft@Microsoft·
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Microsoft unveils Azure Maia 300: up to 7× Maia 200 rack token throughput, multi-gigawatt deployments from 2027 as primary inference system

On 2026-10-12 Microsoft EVP Scott Guthrie announced that Azure Maia 200 is in production for Copilot-class workloads, and third-generation Maia 300 targets long-context reasoning, latency-sensitive chat, and multi-step agentic inference. A 96-accelerator / 167 kW rack is claimed to deliver up to 7× Maia 200 rack-scale token throughput and >2.5× performance per watt, plus ~40% more tokens per megawatt vs leading GPU systems. Each accelerator has eight HBM4 stacks (~288 GB / 18 TB/s), TSMC N2P compute chiplets, and Ethernet-based AI transport scaling to a 12,288-accelerator superpod. Production deployments begin in 2027; more at Ignite 2026.

Key Takeaways

  • Official: Microsoft Blog and Azure architecture deep dive (2026-10-12)
  • Role: Maia becomes Microsoft’s primary inference stack; Maia 200 already serves Copilot; GitHub Copilot/Foundry by year-end; Maia 300 production from 2027 at multi-gigawatt scale
  • Rack (vendor): 96 accelerators, 167 kW, ~27.6 TB HBM / ~1.7 PB/s aggregate; up to 7× Maia 200 rack token throughput and >2.5× perf/W
  • Per accelerator: 8×HBM4 (~288 GB, 18 TB/s, ~950 W TDP), enhanced MXFP4, SDLA dataflow; superpod up to 12,288 accelerators
  • Caveat: 7× / +40% tokens/MW are Microsoft claims vs own/leading GPU baselines—no independent rack bake-off yet
Read full story
Linked Models & Agents:
🤖 Microsoft Copilot🤖 GitHub Copilot🤖 Dragon Copilot🌐 Microsoft🌐 OpenAI🌐 TSMC
#Microsoft#Azure#Maia 300#Maia 200#Inference#HBM4#Agentic AI#Custom Silicon
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Cohere Team@Cohere·
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Cohere Embed 5 ships: Pro/Fast shared space; ViDoRe V3 Pro 85.8 avg; Fast at $0.08/M tokens

On 2026-09-30 Cohere launched Embed 5 with Pro and Fast tiers that share one embedding space (index with Pro, query with Fast). Multimodal text/image/fused inputs, 128K context, 100+ languages; API ids embed-v5.0-pro / embed-v5.0-fast. Blog: ViDoRe V3 Pro avg 85.8 (+8.8 vs Embed 4); text pricing $0.12 / $0.08 per M tokens. Available on Cohere API, Model Vault, Azure Foundry, SageMaker; vLLM for private deploy.

Cohere Embed 5 ships: Pro/Fast shared space; ViDoRe V3 Pro 85.8 avg; Fast at $0.08/M tokens

Key Takeaways

  • Shipped 2026-09-30: cohere.com/blog/embed-5 + docs.cohere.com/docs/cohere-embed
  • Shared space: index Pro / query Fast; cross-model mean loss ~1.6–2.7% vs same-model on 40 dev sets
  • ViDoRe V3: Pro 85.8 (+8.8 vs Embed 4) vs Voyage 4 Large 83.7 / Gemini Embedding 2 83.2; Fast 84.5
  • 128K ctx; dims 2048…256; float/int8/binary + Matryoshka; text $0.12/$0.08 per M (image $0.40/M both)
  • API embed-v5.0-pro/fast; Foundry/SageMaker/vLLM; LangChain/Weaviate/Qdrant/Pinecone integrations
Read full story
Linked Models & Agents:
⚡ Embed 5 Pro⚡ Embed 5 Fast⚡ embed-v5.0-pro⚡ embed-v5.0-fast⚡ Embed 4🤖 rag🤖 agentic-retrieval🌐 Cohere🌐 Microsoft Azure AI🌐 aws
#Cohere#Embed 5#Embeddings#RAG#ViDoRe#Multimodal#Matryoshka#enterprise search#Azure Foundry#SageMaker
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BerriAI@BerriAI·
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LiteLLM 1.103.2: forward Claude Code safeguards; attribute CLI session spend; restore pass-through pre-config wins

BerriAI shipped LiteLLM v1.103.2 on 2026-10-01 (PyPI ~06:20Z; 17 commits vs 1.103.1): forward Claude Code safeguards / dangerous-tool-use beta unchanged to Anthropic, Bedrock, Vertex, and Azure AI Foundry so auto mode works behind the proxy; attribute CLI session spend to a per-user cli-session alias for daily activity BI; restore pre-config-wins for pass-through endpoints.

LiteLLM 1.103.2: forward Claude Code safeguards; attribute CLI session spend; restore pass-through pre-config wins

Key Takeaways

  • Release v1.103.2 at 2026-10-01T06:37:31Z; 17 commits vs v1.103.1
  • Forward Claude Code safeguards + dangerous-tool-use beta to Anthropic/Bedrock/Vertex/Azure Foundry so auto mode returns safeguard_results
  • CLI session spend attributed to per-user cli-session alias for daily activity BI (#40541/#43642/#43656)
  • Restore pass-through pre-config-wins (#43962); verify Docker with cosign
  • pip install 'litellm==1.103.2'; https://docs.litellm.ai/docs/ ; https://pypi.org/project/litellm/1.103.2/
Read full story
Linked Models & Agents:
⚡ Claude Sonnet 5.5🤖 Claude Code (Anthropic)🌐 Anthropic🌐 Google DeepMind🌐 OpenAI
#LiteLLM#Proxy#Claude Code#Safeguards#Spend#Azure AI Foundry#Bedrock#Vertex#Release
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Vercelvercel·
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Vercel AI SDK: [email protected]–7.0.126 speech telemetry + tool-approval clear; @ai-sdk/openai ultrafast service tier

Vercel shipped [email protected] (speech/transcription telemetry) through [email protected] (clear tool approvals on addToolOutput) on 2026-09-30—22 commits since covered [email protected]. Same day @ai-sdk/[email protected] adds OpenAI serviceTier: 'ultrafast' (docs: access-controlled, gpt-5.6-sol), plus Azure MAI speech/transcribe and MCP OAuth conditional invalidation patches in the tree.

Vercel AI SDK: ai@7.0.124–7.0.126 speech telemetry + tool-approval clear; @ai-sdk/openai ultrafast service tier

Key Takeaways

Read full story
Linked Models & Agents:
⚡ GPT-5.6 Sol🌐 vercel🌐 OpenAI
#Vercel AI SDK#[email protected]#Speech#Telemetry#Ultrafast#Tool approval#OpenAI#Release
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LangChainlangchain-ai·
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LangChain OpenAI 1.6.7: AzureChatOpenAI auto-discovers AKS Workload Identity without hand-rolled token providers

LangChain shipped langchain-openai==1.6.7 on 2026-09-30: PR #40532 auto-discovers Azure Workload Identity for AzureChatOpenAI; optional azure-identity extra; explicit credentials still win.

LangChain OpenAI 1.6.7: AzureChatOpenAI auto-discovers AKS Workload Identity without hand-rolled token providers

Key Takeaways

Read full story
Linked Models & Agents:
⚡ GPT-6⚡ Azure OpenAI🌐 LangChain🌐 Microsoft Azure
#Langchain#Langchain openai#Azure#Workload identity#Aks#Release#Python
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earendil-works@earendil-works·
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Pi 0.99.1: OpenAI Codex default model switches to GPT-6.1 Sol; bundled /login module fix

Coding-agent toolkit Pi (v0.99.1, 2026-09-29) adds gpt-6.1-sol to OpenAI, Azure OpenAI Responses, and OpenAI Codex providers, makes GPT-6.1 Sol the default OpenAI Codex model, and fixes bundled /login failing with a missing openai-chatgpt.js module. 5 commits ahead of v0.99.0. Model docs: models.md.

Pi 0.99.1: OpenAI Codex default model switches to GPT-6.1 Sol; bundled /login module fix

Key Takeaways

  • Release v0.99.1; 5 commits ahead of v0.99.0
  • OpenAI Codex default → GPT-6.1 Sol (gpt-6.1-sol); also on OpenAI + Azure OpenAI Responses
  • Bundled /login missing openai-chatgpt.js fixed
  • Docs: models.md; catalog https://pi.dev/models
  • Upgrade to v0.99.1; verify with /model; pin via Ctrl+S
Read full story
Linked Models & Agents:
⚡ GPT-6.1 Sol⚡ GPT-6.1 Sol🤖 Pi🤖 Pi Coding Agent🤖 OpenAI Codex🌐 earendil-works🌐 OpenAI🌐 Azure OpenAI
#Pi#Pi mono#gpt-6.1-sol#Codex#Coding agent#Release
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n8nn8n-io·
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n8n 2.42.0: Agents on by default; AI Agent Tool nesting; MCP client/registry + Azure AI Foundry rename

n8n shipped [email protected] on 2026-09-29: Agents enabled by default (#39312); AI Agent Tool can use its own tools under a pre-v3 parent agent (#39160); MCP Client terminates sessions before close, MCP Registry flag removed from AI Assistant, editor adds Mistral Vibe to MCP picker; Azure OpenAI Chat Model renamed Azure AI Foundry with project/deployment listing and Entra app sign-in; plus shared Agent context and Agent Builder UX polish.

n8n 2.42.0: Agents on by default; AI Agent Tool nesting; MCP client/registry + Azure AI Foundry rename

Key Takeaways

  • Release [email protected] on 2026-09-29; compare 2.41.0...2.42.0
  • Agents enabled by default (#39312); shared Agent context (#38930)
  • AI Agent Tool nests its own tools under pre-v3 parents (#39160)
  • MCP: terminate session on client close; Registry ungated in AI Assistant; Mistral Vibe in MCP picker
  • Azure OpenAI node renamed Azure AI Foundry Chat Model; docs AI Agents
Read full story
Linked Models & Agents:
🤖 n8n-ai-agent🌐 n8n🌐 Microsoft🌐 Mistral
#N8n#Agents#MCP#Azure AI foundry#Workflow#Release
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BerriAI@BerriAI·
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LiteLLM v1.103.0 Released: Hosted vLLM Batches, MCP 2.x Architecture, and Admin UI Web Search Interception

LiteLLM shipped v1.103.0, introducing native hosted_vllm offline batch processing and updating its MCP integration test suite to the modern MCP 2.x MCPServer architecture. The Admin UI now supports dynamic web search interception controls, while the proxy resolves reasoning-object to reasoning_effort translation for OpenAI o1/o3 series and eliminates Azure 400 errors on empty tool choices.

LiteLLM v1.103.0 Released: Hosted vLLM Batches, MCP 2.x Architecture, and Admin UI Web Search Interception

Key Takeaways

  • Hosted vLLM Batching: Directly dispatches and tracks asynchronous batch inference across hosted vLLM clusters from unified LiteLLM client endpoints.
  • MCP 2.x Alignment & Budget Guardrails: Migrates test harnesses to the modern MCP 2.x MCPServer API while hardening zero-budget project request blocking and team-linked JWT inheritance.
  • Reasoning Effort & Azure Tool Fixes: Translates provider reasoning tokens into uniform reasoning_effort parameters and eliminates 400 errors on Azure tool_choice when no tools are attached.
Read full story
Linked Models & Agents:
#LiteLLM#vLLM#MCP#AI Gateway#Batch Processing
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Kilo-Org@kilocode·
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Kilo Code 7.8.1: Agent Manager browser for public HTTPS/CDN previews; CycloneDX SBOM on every artifact

Kilo-Org shipped open-source coding agent platform Kilo Code v7.8.1 (includes 7.8.0) on 2026-09-25. 7.8.0 brings a high-resolution streamed Agent Manager browser for public HTTPS pages and CDN assets in localhost previews, with install/retry/settings guidance, native cross-origin checks, ordered clipboard, and stalled-session cleanup; plus close-task commands and a stoppable session-cleanup pass. 7.8.1 publishes CycloneDX SBOMs for every CLI archive, npm package, container image, VS Code extension, and JetBrains plugin—SHA-256 bound and GitHub-attestation signed. Azure Entra ID accepts resource name or full endpoint URL.

Kilo Code 7.8.1: Agent Manager browser for public HTTPS/CDN previews; CycloneDX SBOM on every artifact

Key Takeaways

  • Shipped: v7.8.1 / @kilocode/[email protected]
  • 7.8.0: Agent Manager browser for public HTTPS/CDN; close-task cmds; stoppable session cleanup
  • 7.8.1: CycloneDX SBOM + SHA-256 + GitHub attestation on every artifact
  • Azure Entra ID: resource name or full endpoint; block nested var refs in project MCP headers
  • Install: VS Code Marketplace / CLI / JetBrains; docs at kilo.ai/docs
Read full story
Linked Models & Agents:
🤖 coding-agent🤖 Agent-Manager🌐 Kilo🌐 Kilo-Org🌐 kilocode
#Kilo-Code#VS-Code#JetBrains#CLI#SBOM#CycloneDX#Agent-Manager#Browser preview#Entra-ID
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vercel@vercel·
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Vercel AI SDK @ai-sdk/openai 4.0.78: GPT-6 Sol/Luna allow reasoningEffortUpdate 'none'

Vercel AI SDK shipped @ai-sdk/[email protected] on 2026-09-26: request-level and positioned system-message reasoningEffortUpdate now accept 'none' so GPT-6 Sol/Luna conversations can turn reasoning off mid-thread. Updates are validated against each model’s supported efforts—unsupported request-level updates warn and omit; unsupported historical/message-level updates reject. Companion @ai-sdk/[email protected] and @ai-sdk/[email protected] pick up the dependency.

Vercel AI SDK @ai-sdk/openai 4.0.78: GPT-6 Sol/Luna allow reasoningEffortUpdate 'none'

Key Takeaways

  • Shipped: @ai-sdk/[email protected] / npm 4.0.78
  • Feature: reasoningEffortUpdate 'none' for GPT-6 Sol/Luna (#21518)
  • Validation: warn+omit unsupported request-level; reject unsupported historical updates
  • Companions: Azure 4.0.82, Bedrock 5.0.97; see OpenAI provider docs
  • Install: npm i @ai-sdk/[email protected]
Read full story
Linked Models & Agents:
⚡ GPT-6 Sol⚡ GPT-6 Luna⚡ GPT-6 Astra🌐 vercel🌐 OpenAI🌐 azure🌐 Amazon AWS (Nova)
#Vercel AI SDK#@ai-sdk/openai#reasoningEffortUpdate#GPT-6#Sol#Luna
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LiveKit@livekit·
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LiveKit Agents 1.8.3: Gemini 3.8 Live NON_BLOCKING default, GPTLive Azure, AssemblyAI Universal, safer tool handoffs

LiveKit published Python [email protected] on GitHub (2026-09-26; PyPI livekit-agents 1.8.3): Gemini 3.8 Live defaults tool_behavior=NON_BLOCKING and sends FunctionTool schemas as parameters_json_schema on the text API; OpenAI gains GPTLiveModel.with_azure and moves the Realtime inference client into agents core; STT adds AssemblyAI universal-3-6-pro plus language_confidence, and configurable ElevenLabs realtime chunk duration; voice fixes prevent parallel tools from canceling handoffs, pair tool outputs by call_id, forward frames as-is in fallback/stream adapters, and fix LiveAvatar interruption/plugin registration. Same-day JS @livekit/[email protected] deepens agent_turn telemetry and adaptive interruption.

LiveKit Agents 1.8.3: Gemini 3.8 Live NON_BLOCKING default, GPTLive Azure, AssemblyAI Universal, safer tool handoffs

Key Takeaways

  • Shipped: [email protected] / PyPI 1.8.3; JS @livekit/[email protected] same day
  • Gemini 3.8 Live: default NON_BLOCKING tool_behavior; FunctionTool via parameters_json_schema on text API
  • OpenAI: GPTLiveModel.with_azure; Realtime inference client moved into agents core
  • STT: AssemblyAI universal-3-6-pro + language_confidence; configurable ElevenLabs realtime chunk duration
  • Voice correctness: parallel tools no longer cancel handoffs; pair tool outputs by call_id; adapters forward frames as-is
Read full story
Linked Models & Agents:
⚡ Gemini 3.8 Live⚡ GPT Live🤖 LiveKit Agents🌐 livekit🌐 Google DeepMind🌐 OpenAI🌐 assemblyai🌐 elevenlabs
#LiveKit Agents#voice AI#Gemini 3.8 Live#GPTLive Azure#AssemblyAI#Realtime#Python
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Pydantic@pydantic·
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Pydantic AI 2.51.0: OpenAILiveModel for GPT-Live, context_window_used on realtime, tighter Gemini Live connect checks

Pydantic AI v2.51.0 (2026-09-25) adds OpenAILiveModel for OpenAI GPT-Live, exposes context_window_used on realtime sessions, tightens Gemini Live id/affective-dialog checks, and raises UserError for forced realtime tool_choice on OpenAI/Azure/xAI. PyPI pydantic-ai 2.51.0 is live.

Pydantic AI 2.51.0: OpenAILiveModel for GPT-Live, context_window_used on realtime, tighter Gemini Live connect checks

Key Takeaways

  • Shipped: GitHub v2.51.0 = PyPI pydantic-ai 2.51.0; docs pydantic.dev/docs/ai
  • Realtime: OpenAILiveModel for GPT-Live; context_window_used on sessions from GPT-Live ratio or response usage
  • Compat: match dated gemini-3.8-live ids; reject google_affective_dialog at connect; RealtimeError on Gemini Live close codes
  • Safety: UserError for forced realtime tool_choice on OpenAI/Azure OpenAI/xAI
  • Perf: cache agent graph across Agent.run(); skip task group for single-child fan-out
Read full story
Linked Models & Agents:
⚡ GPT Live⚡ gemini-3.8-live🤖 pydantic-ai🌐 Pydantic🌐 OpenAI🌐 Google
#Pydantic AI#GPT-Live#OpenAILiveModel#Realtime#Gemini Live#agent framework#Python
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Marwan@Marwan_3atef·
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Azure MCP Server ships inside Visual Studio 2022: 230+ Azure tools in Copilot Chat, no extension

Marwan (@Marwan_3atef) reports Azure MCP tools now ship inside Visual Studio 2022 (Azure workload + VS 17.14.30+), with no Marketplace/VSIX. Flip Azure MCP Server on in Copilot Chat tools (off by default) for 230+ tools across ~45 services for list/deploy/diagnose/KQL.

Key Takeaways

  • Ship: Azure MCP Server built into Visual Studio 2022 (17.14.30+).
  • Access: no extension; one Copilot Chat toggle (off by default).
  • Scope: ~45 services, 230+ tools (list/deploy/diagnose/KQL).
Read full story
Linked Models & Agents:
🤖 github-copilot🌐 Microsoft Azure AI
#Azure MCP#Visual Studio 2022#Copilot Chat#MCP#Microsoft#KQL