Ahmed MAGDY 🇪🇬👨‍💻 أحمد مجدي

👨‍💻 Sr. Cloud & AI Apps Solution Engineer @Microsoft
👨‍👩‍👧‍👦 Egyptian & Father of 4 lovely kids
📹 Author of @HackItRight
☁ Co-Founder of @AzureRUG

[GitHub @github]

📣 Claude Fable 5, the first in @AnthropicAI's Mythos model class, is now generally available and rolling out in GitHub Copilot.

It is designed for long-horizon, autonomous coding and knowledge-work tasks. Try it out in @code or the GitHub Copilot app. ⬇️
https://t.co/jJTqh35jjY

[Ahmed MAGDY 🇪🇬👨‍💻 أحمد مجدي @amgdy]

@pavandavuluri AI coding model?

[Pierce Boggan @pierceboggan]

OpenTelemetry in @code keeps getting better!

We heard your feedback you wanted ready-made dashboards for visualizing agent metrics. We partnered with the Azure Managed Grafana team to provide some dashboards to get you up and running quickly.

https://t.co/7XugiEIrBy

[Dan Wahlin @DanWahlin]

Missed the GitHub Copilot CLI Hands-On sessions? No worries - the recordings are available! 🚀

Learn how to use GitHub Copilot directly from the terminal - from first commands to custom agents, skills, and MCP integrations. ✨

🎥 Session 1 (intro + commands + modes): https://t.co/ayGDV0JJ3c
🎥 Session 2 (dev workflows + agents): https://t.co/1uKnLktvA7
🎥 Session 3 (skills): https://t.co/prrG1M7GHB
🎥 Session 4 (MCP): https://t.co/gF1XED5aYU

👉Access the FREE GitHub Copilot for Beginners course here:

https://t.co/o9nBihhW6K

[GitHub Changelog @GHchangelog]

Issue fields are now in public preview for all organizations on https://t.co/nuuLcR52gx and GitHub Enterprise Cloud.

• Define typed metadata like Priority, Effort, or custom fields that appear on every issue across repos.

https://t.co/dcFgzjGy6l

[GitHub Changelog @GHchangelog]

GPT-5.3-Codex is now the base model for Copilot Business and Enterprise, replacing GPT-4.1.

• This model offers 12 months of long-term support for stability and security reviews.

https://t.co/NKFJhkRWUN

[GitHub Changelog @GHchangelog]

CodeQL 2.25.4 adds support for Swift 6.3.1 and improves C#, Java, and JavaScript/TypeScript analysis.

• Supports Vercel serverless functions and expands C# taint tracking for https://t.co/vDysDB0xRh

https://t.co/5SBFWMBsfm

[Pierce Boggan @pierceboggan]

OpenAI models are now 12% faster in @code with our recent move to WebSocket mode on the Responses API!

https://t.co/o8A4N1RhGS

[Satya Nadella @satyanadella]

Super excited GPT-5.5 is rolling out to GitHub Copilot, M365 Copilot, Copilot Studio, and Foundry today.

With deeper reasoning, stronger multistep execution, and better performance across long, complex tasks, GPT-5.5 helps you go from idea to execution faster with fewer iterations to get to the right outcome.

It’s all about helping you choose the right model, or models, for the right task across your workflow.

[David Fowler @davidfowl]

Yea, this one is a banger.

#aspiredev @aspiredotdev

[David Fowler @davidfowl]

Finally improving the first class Kubernetes support in aspire.

aspire add kuberentes
aspire deploy

@mitchdennydev has been working on this!

#cloudnative #kubernetes #aspiredev @aspiredotdev

[Mustafa Suleyman @mustafasuleyman]

Another SOTA model drop! This time from the @Bing team: meet Harrier, a new open-source embedding model with state-of-the-art performance and the #1 spot on the industry standard multilingual MTEB-v2 benchmark.

[Jordi Ribas @JordiRib1]

I’m pleased to share that our search team has open sourced an embedding model called Harrier that is currently ranking #1 on the multilingual MTEB-v2 benchmark leaderboard.

Harrier delivers SOTA performance on retrieval quality, semantic matching, and contextual analysis across workloads, supporting more than 100 languages and handles long inputs up to 32K. It is built for the next generation semantic search for Bing and our web grounding (RAG) service for AI agents, which already powers nearly every major AI chatbot today.

As you can see in the leadership board, our Harrier model is currently ahead of other excellent models based on Gemini, Gemma, Llama, Qwen, and more. I’m grateful for the hard work of our team to get to this top ranking, and I’m excited to see all the healthy competition in the space, which should ultimately lead to more innovations that will benefit everyone.

Learn more: https://t.co/tvEvCzk7Mf

[GitHub Changelog @GHchangelog]

Copilot CLI now supports connecting to your own model provider or running local models instead of using GitHub-hosted routing.

• Use Azure OpenAI, Anthropic, or any OpenAI-compatible endpoint via environment variables

https://t.co/5qt5X2czsF

[Pamela Fox @pamelafox]

FastMCP now has built-in support for OpenTelemetry:
https://t.co/EVCYzy0EE8

@madebygps verified it works in our sample that exports to either Aspire, Azure App Insights, or Pydantic Logfire:
https://t.co/KvQspbaYRs

[Mustafa Suleyman @mustafasuleyman]

Three models. Three top-tier results. All shipped within just a few months by the @MicrosoftAI team.
- MAI-Transcribe-1 dropped today, the most accurate transcription model in the world across 25 languages according to FLEURS WER benchmark.
- MAI-Voice-1 sets a new standard for natural speech.
- MAI-Image-2 lands as a top 3 model family on @arena.
We've been building with them - now you can too. All 3 available now on Microsoft Foundry.

[Martin Woodward @martinwoodward]

It’s not true that we train on private data at rest, but it is true that for Free, Pro and Pro+ users will will start collecting Copilot usage data on April 24 to use in training of future models.

Details here or in banner on the website for affected users. https://t.co/xZPj5Bfr6K

[Tareq Amin @TareqAmin_]

Great meeting today at @Microsoft headquarters in Seattle with @satyanadella. We explored a bold vision to redefine the enterprise operating system by bringing together the power of Microsoft 365 and Copilot with #HUMAINONE.

While Copilot is transforming how people create and collaborate, @HUMAIN ONE is designed to execute, turning intent into end-to-end outcomes through AI agents across the enterprise. Together, this creates a new paradigm: from AI assisting work, to AI actually doing the work.

We also aligned on expanding this vision across the full stack, from the next generation of AI PCs powered by an agentic operating system, to large-scale AI infrastructure through HUMAIN Core, creating a seamless bridge between device, productivity, and execution.

Beyond integration, this is the foundation of a truly agent-driven enterprise, where productivity, execution, and infrastructure converge into one unified experience.

[GitHub Changelog @GHchangelog]

Copilot usage metrics now show exact models used when auto model selection is enabled instead of a generic “Auto” label.

• Applies to REST API & dashboard reports at enterprise, org, and user levels

https://t.co/VlMCcWXjQN

[GitHub Changelog @GHchangelog]

Copilot coding agent now starts work 50% faster.

• Start Copilot by assigning an issue, using the Agents tab, or commenting in a PR.
• Faster start means quicker PR creation and faster feedback loops.

https://t.co/ldK1DfAMQU