Microsoft

Microsoft Launches Agent Experience (AX) Practitioner Playbook for AI Coding Agents

Microsoft introduces the AX Practitioner Playbook to evaluate and improve AI coding agents that select SDKs, versions, and patterns for developers. The playbook helps ensure these agents understand technology correctly and address issues in their source data.

Why it matters: As AI coding agents increasingly automate development choices, the AX Practitioner Playbook provides a structured method to verify their accuracy and reliability. This supports better integration of AI tools in software development workflows.

Reader impact: Teams using AI at work may want to compare this against current productivity and review workflows.

Microsoft 365 cuts OneDrive storage from 1 TB per user

Microsoft is reducing the OneDrive cloud storage allotment for shared Microsoft 365 family plans, which currently provide 1 TB per user. This change will significantly shrink the available storage for each family member.

Why it matters: Users relying on Microsoft 365 for cloud storage will need to adjust to reduced space, potentially impacting file management and backup strategies. It signals a shift in Microsoft's subscription storage policies that could affect many customers.

NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents

At a Microsoft event in San Francisco on Wednesday, NVIDIA founder and CEO Jensen Huang and Microsoft CEO Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run on Windows PCs. NVIDIA was founded because...

Reader impact: Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.

Agent Lightning v1.0: Lightweight RL Framework Simplifies AI Agent Training

Agent Lightning is a 3,500-line lightweight reinforcement learning framework that connects existing AI agents to RL training without requiring them to be rebuilt. It simplifies managing tools, context, and decision-making during agent training.

Why it matters: Training AI agents with reinforcement learning is often complex due to the frameworks managing their components. Agent Lightning reduces this complexity, enabling easier improvement of AI agents.

Microsoft Ignite 2026 Highlights AI-First Security Platform Including AI Agents

At Microsoft Ignite 2026, Microsoft introduced an AI-first, end-to-end security platform that protects identities, devices, data, applications, clouds, infrastructure, and AI agents working alongside teams. This platform integrates AI agents into its security framework to enhance protection.

Why it matters: As AI agents become more integrated into workplace environments, securing them alongside traditional IT assets is critical to maintaining overall organizational security. Microsoft's approach signals a shift toward comprehensive security strategies that include AI-driven components.

GitHub Copilot Plugins Enhance Consistent AI-Assisted Engineering

GitHub Copilot Plugins enable engineers to share and maintain agentic artifacts like instructions and configurations, ensuring others can adopt and update them easily. This approach supports consistent AI-assisted workflows across teams.

Why it matters: By facilitating the sharing and updating of AI-assisted engineering tools, GitHub Copilot Plugins help teams maintain alignment and improve productivity. This reduces friction in adopting AI-driven workflows and keeps tools compatible and up-to-date.

Free Hands-On Course to Get Started with GitHub Copilot App

Microsoft offers a free course to help developers learn how to use the GitHub Copilot app, including directing AI coding agents and building reliable workflows. The course aims to improve developers' ability to review AI-generated code effectively.

Why it matters: As AI coding tools become more integrated into development processes, understanding how to work with and review AI-generated code is essential. This course provides practical guidance to help developers leverage GitHub Copilot efficiently.

Microsoft Unveils New Copilot with Home, Code, and Autopilot Features

Microsoft has introduced a new version of Copilot designed to integrate with familiar tools and provide advanced capabilities for building, customizing, and scaling AI. This update aims to support evolving work processes and enhance productivity for individuals and organizations.

Why it matters: By connecting existing tools with next-generation AI features, Microsoft Copilot seeks to streamline workflows and expand what users can achieve. This reflects a broader trend of embedding AI more deeply into everyday work environments.

Microsoft Research: Offloaded AI Inference Enhances Robotics Performance

Microsoft Research demonstrates that offloading AI inference from robots to external systems can improve task success rates and efficiency. This approach enables more advanced physical AI workloads beyond the robot's onboard hardware capabilities.

Why it matters: By moving AI processing off the robot, robotics can handle more complex tasks without being limited by onboard hardware constraints. This advancement supports smarter, more capable robots in real-world applications.

Build an Interview Coach App Using GitHub Copilot SDK

The GitHub Copilot SDK enables developers to build an interview coach app that can read resumes, follow up on incomplete answers, and provide contextual feedback. It supports both conversational interactions and application service calls.

Why it matters: This SDK allows for creating more intelligent and interactive developer tools that go beyond simple question-answering by maintaining context and integrating with other services. It demonstrates how AI can assist in complex workflows like interview coaching.

LLMs and GenAI Pose Growing Risks to Cybersecurity and Platform Integrity

Large Language Models (LLMs) and generative AI systems like ChatGPT and Gemini are transforming digital platforms but also raising significant cybersecurity, privacy, and platform integrity challenges. Notably, LLM-assisted malware is projected to increase from 2% in 2021, highlighting escalating r...

Why it matters: As LLMs become more integrated into various sectors, their misuse in malware and scams threatens digital trust and safety. Understanding these risks is crucial for developing effective safeguards in AI deployment.