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    Home Latest News

      GitHub Copilot Unveils a Bold Leap in AI-Powered Code Editing

      Written by

      Sunny Yadav
      Published February 7, 2025
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        News graphic featuring GitHub Copilot's logo.
        Image: eWeek

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        GitHub is once again pushing the boundaries of AI in software development. In its latest update, GitHub Copilot introduces Agent Mode — a preview feature that redefines how developers interact with code editing tools.

        Agent Mode is designed to autonomously plan, execute, and validate multi-file code changes and offers a more intuitive and comprehensive way to manage complex projects. This evolution in AI-powered development aims to minimize routine tasks and allow coders to focus on creative problem-solving.

        Revolutionizing code editing with Agent Mode

        Agent Mode, now available as a preview feature, empowers Copilot to go beyond simple code completions. According to GitHub’s official release on its “What’s New” page, the new dropdown selector lets users easily toggle between Agent and Edit modes from the chat input.

        In Agent Mode, Copilot autonomously gathers context from multiple files and executes code edits, even suggesting terminal commands when necessary. This functionality transforms a traditionally manual process into a streamlined, conversational experience where developers specify the desired outcome and watch Copilot take action.

        While Edit Mode requires users to set the working set manually, Agent Mode automates file selection, reducing friction and enhancing productivity. With the capacity to iterate on code changes and resolve issues, Agent Mode marks a significant step toward a more adaptive, AI-assisted development workflow.

        Bridging the gap between mockups and code

        Beyond enhancing code editing, GitHub Copilot is also exploring innovative ways to transform design into functional code — generating code directly from images and mockups. This feature complements Agent Mode by streamlining the journey from visual concept to deployable code, effectively bridging the gap between designers and developers. 

        By converting static mockups into actionable code, Copilot accelerates development cycles and fosters closer collaboration between creative and technical teams. This dual-pronged approach underscores GitHub’s commitment to integrating artificial intelligence deeper into every facet of the development process, making it easier for teams to iterate rapidly and launch high-quality software faster.

        As the developer community experiments with these new features, early feedback has been largely positive. Many users praise the efficiency gains and the potential for reducing mundane coding tasks. However, as with any preview feature, GitHub seeks feedback to refine Agent Mode further before its broader release.

        Explore our list of top AI companies dominating the AI landscape and stay up to date with the latest advancements in AI.

        Sunny Yadav
        Sunny Yadav
        Sunny is a content writer for eSecurity Planet (eSP) with a bachelor’s degree in technology and experience writing for leading cybersecurity brands like Panda Security, Upwind, and Vanta. At eSP, he covers the latest news on cyberattacks, cryptography, data protection, and emerging threats and vulnerabilities. He also explores security policies, governance, and endpoint and mobile security. Sunny enjoys hands-on testing, rigorously evaluating tools to assess their capabilities and real-world performance. He also has extensive experience working with AI tools like ChatGPT and Gemini, experimenting with their applications in cybersecurity, content creation, and research.

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