Do you remember the feeling when GitHub Copilot was first released? The day the world was thrilled by an AI that could complete lines of code as if by magic. But today, you can forget that image. What Microsoft announced at Build 2025 has elevated the term “Copilot” to a level we never imagined.   Picture this: you toss an issue on GitHub to an AI, briefly say, “Do this!,” and walk away to make a coffee. When you return, the feature has been developed, tested, and a Pull Request has been opened, waiting for your review. This isn’t a fantasy. It’s what the GitHub Copilot Agent can actually do. This is the heart of a new era called Agentic AI, where AI doesn’t just wait for commands but takes responsibility for entire projects.   The Great Leap: From “Assistant” ????‍???? to “Teammate” ???? To see the full picture, let’s compare them head-to-head. The Evolution of Copilot   The Old Copilot (The Smart Assistant): Think of it as a magic tool in your toolbox. It helps with immediate tasks, like an electric drill that precisely makes a hole for you, but it doesn’t know what you’re building. Ultimately, you still have to be the designer and decision-maker, figuring out which parts go where. This is a Human-in-the-Loop process, where you control every step. Copilot Agent 2025 (The AI Teammate): This is like an automated assembly line. You just send in the blueprint (the Issue), and the system handles everything else—from selecting raw materials (planning) and cutting and assembling parts (writing code) to quality control (creating tests). It then delivers a finished product back to you for final inspection. This shifts to a Human-on-the-Loop model, where humans transition to the role of reviewers and final decision-makers. So, how does it work? The process is simple, just 4 steps. 4-Step Process of Copilot Agent   ???? Delegate Task: It starts with a GitHub Issue you create or a command in Chat. ???? Plan: The Agent analyzes the goal and plans which files need to be modified or created. ✍️ Execute: It writes the code according to the plan, complete with Unit Tests. ???? Deliver: When finished, it creates a Pull Request with a summary of changes, waiting for the team to review. https://www.youtube.com/watch?v=EPyyyB23NUU What are the benefits of the Copilot Agent?   ⚡ Work Faster: Repetitive tasks that used to take hours, like writing code or creating tests, can now be done in minutes, allowing for much faster delivery. ???? Better Quality: The AI helps write code that adheres to set standards, reducing human error. ???? More Time for Innovation: With less time spent on tedious work, the team has the energy and time to focus on design, complex problem-solving, and creating new innovations.   Sounds good, right? But how do you get started?   The Copilot Agent is still in Public Preview and has the following conditions: Subscription Required: A GitHub Copilot Enterprise or GitHub Copilot Business plan. Permission Required: An organization’s Admin must enable it. How to Use: For Admins: Go to Organization Settings > Copilot > Policies and enable the “Copilot Agent” feature. Or follow this link: Adding Copilot coding agent to your organization For Developers: The Easiest Way: On the desired GitHub Issue page, go to Assignees and select github-copilot to delegate the task. Another Way: In VS Code Chat, type /agent to enter Agent Mode and issue commands. For those who want to learn more about advanced usage, you can study further on Microsoft Learn, a direct guide for developers. Learn more at: Building Applications with GitHub Copilot Agent Mode   How AI Agents Work & What You Should Know Behind the Scenes   The Copilot Agent doesn’t work alone. It’s part of a larger architecture that Microsoft is building to allow all AI to work together seamlessly, such as: Copilot Workspace: Think of it as a workspace that allows the AI to understand the full context of your project. Open Protocols (MCP): Imagine a “USB-C for AI.” It’s a common language that allows agents, tools, and services to communicate and work together. https://www.youtube.com/watch?v=pkotufZchjE It’s Time to Truly Work with AI The era of AI-Native Development has begun. AI is no longer just a tool; it has become an integral part of the development team. The key question for organizations and developers today is not “Will AI replace us?” but rather, “Is your team ready to work with AI?“ Finally, SCB TechX is ready to be your Tech Partner who understands your business. From our experience managing large-scale systems, we can help you establish an automated DevOps Flow that supports future growth. For service inquiries, please contact us at https://bit.ly/4etA8Ym Read more details here: https://bit.ly/4dpGl6U   ???? References Microsoft Build 2025 Official Blog Post: The age of AI agents and building the open agentic web GitHub Blog Post: GitHub Copilot: Meet the new coding agent GitHub Documentation: Adding Copilot coding agent to your organization Microsoft Learn Module: Building Applications with GitHub Copilot Agent Mode