{
  "id": 6133183,
  "title": "Microsoft engineer says 'typing code is absolutely over' as GitHub Copilot takes on more development work",
  "url": "https://urgent.news/2026/09/07/microsoft-engineer-says-typing-code-is-absolutely-over-as-github",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-07T12:03:00.000Z",
  "source": {
    "name": "TechSpot",
    "slug": "techspot",
    "url": "https://www.techspot.com/news/113752-microsoft-engineer-typing-code-absolutely-over-github-copilot.html"
  },
  "original_language": "en",
  "account": "GitHub Copilot, a coding assistant developed by Microsoft, is increasingly handling more aspects of the software development process, according to David Fowler, a Microsoft Distinguished Engineer. The AI agent can now set up environments, modify repositories, execute tests, and even create pull requests for developers to review. This development comes as AI begins to handle more routine coding tasks, potentially allowing developers to focus more on system design, requirements, dependencies, and security reviews.\n\nGitHub has expanded the coding agent's capabilities to Windows development environments, enabling it to build and test Windows-targeted projects, run linters, and verify build success. The agent can then return its work to a human developer for review through a pull request. This functionality has been extended to the Windows Subsystem for Linux, catering to teams developing software on Windows platforms but testing or deploying in Linux environments.\n\nMicrosoft's Aspire toolchain is also incorporating AI coding assistants to provide developers with a more comprehensive context than traditional single-source-file or chat prompts. Aspire 13.1 introduced enhanced support for AI coding assistants, while 13.2 added a command-line interface and Model Context Protocol support, allowing AI tools to access development resources and context more effectively. Aspire is designed to extend beyond code generation, enabling agents to manage services, inspect logs, identify errors, restart components, and conduct retests.\n\nMicrosoft's security team has also leveraged AI through its MDASH system, an agentic vulnerability scanner used across various Windows, Azure, and identity systems. MDASH enables the security team to perform vulnerability hunting at an extensive scale with enhanced analysis depth. This system examines critical components like the Windows kernel, Hyper-V, and networking stack, providing researchers with a more comprehensive analysis of security issues in large and security-sensitive codebases.\n\nMicrosoft's native Windows development tools, such as the adoption of WinUI 3 for new native Windows applications, are also benefiting from AI integration. WinUI 3 is now open source, improving access to source code and documentation, which can help AI tools understand project structures and supported APIs better. Microsoft has published a guide for using Copilot to build WinUI applications, covering code completion, file context, and project-specific instructions, indicating that AI assistance is becoming an integral part of Windows development.",
  "summary": "Fowler was not suggesting that software engineers are becoming unnecessary. But as AI handles more routine coding work, developers may spend less time writing individual lines and more time on system design, requirements, dependencies, and the review needed to make sure software is secure and works as intended. Read Entire Article",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}