News from the AI & ML world
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@futurumgroup.com
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Microsoft is doubling down on its commitment to the developer community by embracing agentic AI, a move highlighted at the recent Microsoft Build conference. CEO Satya Nadella emphasized the shift from AI as merely an assistant to a proactive agent capable of performing complex tasks and workflows for software teams. This signifies a pivotal moment for Microsoft, placing AI at the forefront of software development and reshaping the industry's future. Microsoft leadership acknowledged the need to collaborate with the development community to navigate this new era and build the path toward agentic AI development together, recognizing that they don't have all the answers themselves.
Microsoft is actively integrating AI agents into its development tools, notably GitHub Copilot. The new coding agent in GitHub Copilot enables developers to assign issues to the agent, which then works asynchronously to create fully tested pull requests. This is more than just autocomplete; it's a new class of software engineering agent that works like a teammate, planning work, writing code, running tests, and soliciting feedback. By automating repetitive tasks and assisting with code maintenance, the coding agent aims to free up developers to focus on more critical and creative aspects of their work, increasing efficiency and productivity. Microsoft is also emphasizing the importance of cybersecurity in the age of AI. They are rolling out free cybersecurity support for European governments, offering AI-generated insights, early warnings about security flaws, and support against state-backed attacks. Microsoft is also encouraging users to upgrade to Windows 11 for enhanced security features, as Windows 10 support is ending in October 2025. Microsoft is also showcasing its AI-first security platform at the Gartner Security & Risk Management Summit, aiming to help organizations manage risk and protect assets effectively in the face of evolving threats. Recommended read:
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S.Dyema Zandria@The Tech Basic
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Microsoft and GitHub are joining forces to support Anthropic’s Model Context Protocol (MCP) standard. This collaboration aims to streamline the integration of AI models with applications and services across Windows and cloud platforms. The goal is to create a safer and more efficient environment for AI agents to access and utilize data. By joining the MCP steering committee, GitHub and Microsoft will contribute to the development and adoption of this open standard, which is already backed by major AI firms like OpenAI and Google.
Microsoft is adding native Model Context Protocol (MCP) support to Windows 11, empowering developers to build agentic AI experiences more easily. This includes introducing the MCP Registry, a secure and trustworthy source for AI agents to discover accessible MCP servers on Windows. The MCP Registry, along with MCP Servers, will enable AI agents to interact with Windows system functionalities such as the File System and Windows Subsystem for Linux, offering significant value to end-users. This move represents a big step towards more intelligent and context-aware applications on the Windows platform. Windows is also introducing a Universal AI Connector through the new Windows AI Foundry platform. This platform allows developers to add and run AI models, leveraging resources from various sources like Ollama and Nvidia NIMs. The AI Foundry makes it possible to run AI locally on devices without relying on cloud connections. This new feature will be initially previewed with a small group of developers and security measures implemented which include a trusted registry for MCP servers and user permissions required before AI agents access Windows functions. These advancements aim to bring AI capabilities closer to users, with greater control and security. Recommended read:
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Ross Kelly@Latest from ITPro
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GitHub has launched a new AI coding agent for Copilot, designed to automate tasks and enhance developer workflows. Unveiled at Microsoft Build 2025, the coding agent is available to Copilot Enterprise and Copilot Pro+ users and is designed to handle "low-to-medium complexity tasks" such as adding features, fixing bugs, refactoring code, and improving documentation. CEO Thomas Dohmke highlighted that the agent is embedded directly within GitHub, activated by assigning a GitHub issue to Copilot.
The coding agent operates within a secure and customizable development environment powered by GitHub Actions. Once a task is assigned, the agent boots a virtual machine, clones the relevant repository, sets up the development environment, analyzes the codebase, and pushes changes to a draft pull request. Developers can monitor the agent's progress through session logs, ensuring transparency throughout the process. Crucially, all pull requests require human approval before CI/CD workflows are executed, adding an extra layer of security. In related news, GitHub and Microsoft are joining forces with Anthropic on the Model Context Protocol (MCP) standard. This move aims to create safer AI agent deployments by establishing a universal protocol for AI models to access data from apps and services. MCP allows AI clients to discover servers and call their functions without extra coding. Microsoft and GitHub will add first-party support across Azure and Windows to help developers expose app features as MCP servers, improve security, and add a registry to list trusted MCP servers. Recommended read:
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@analyticsindiamag.com
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OpenAI has unveiled a new GitHub connector for its ChatGPT Deep Research tool, empowering developers to analyze their codebases directly within the AI assistant. This integration allows seamless connection of both private and public GitHub repositories, enabling comprehensive analysis to generate reports, documentation, and valuable insights based on the code. The Deep Research agent can now sift through source code and engineering documentation, respecting existing GitHub permissions by only accessing authorized repositories, streamlining the process of understanding and maintaining complex projects.
This new functionality aims to simplify code analysis and documentation processes, making it easier for developers to understand and maintain complex projects. Developers can leverage the connector to implement new APIs by finding real examples in their codebase, break down product specifications into manageable technical tasks with dependencies mapped out, or generate summaries of code structure and patterns for onboarding new team members or creating technical documentation. OpenAI Product Leader Nate Gonzalez stated that users found ChatGPT's deep research agent so valuable that they wanted it to connect to their internal sources, in addition to the web. The GitHub connector is currently rolling out to ChatGPT Plus, Pro, and Team users. Enterprise and Education customers will gain access soon. OpenAI emphasizes that the connector respects existing permissions structures and honors GitHub permission settings. This launch follows the recent integration of ChatGPT Team with tools like Google Drive, furthering OpenAI's goal of seamlessly integrating ChatGPT into internal workflows by pulling relevant context from various platforms where knowledge typically resides within organizations. OpenAI also plans to add more deep research connectors in the future. Recommended read:
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