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title: "GitHub Copilot Coding Agent"
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sidebar_label: GitHub Copilot Coding Agent
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authors: [sanjay-kv]
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tags: [GitHub, SEO, Coding agent]
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tags: [GitHub, SEO, Coding agent,Copilot, AI, Automation]
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date: 2025-07-04
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description: DeepMind is an auxiliary of Google that centers around man-made brainpower. All the more explicitly, it utilizes a part of AI.
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description: An overview of the GitHub Copilot Coding Agent, an AI-powered tool that automates software engineering tasks by taking GitHub Issues as input to write code, run tests, and create pull requests.
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draft: false
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canonical_url:
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# meta:
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# - name: "robots"
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# content: "index, follow"
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# - property: "og:title"
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# content: "What is Google DeepMind AI?"
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# content: "Introduction to the GitHub Copilot Coding Agent"
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# - property: "og:description"
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# content: "DeepMind is an auxiliary of Google that centers around man-made brainpower. All the more explicitly, it utilizes a part of AI called AI"
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# content: "Learn how the GitHub Copilot Coding Agent works asynchronously within GitHub Actions to improve developer productivity."
In the fast-evolving world of software development, AI-powered tools are changing the game. GitHub is at the forefront with its latest innovation: the **GitHub Copilot Coding Agent**. More than just an in-editor assistant, this powerful new agent works asynchronously to handle entire engineering tasks on its own. Let's dive into what it is, how it works, and how you can leverage it to automate your workflow.
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### 🚀 **What Is GitHub Coding Agent**
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The GitHub Copilot Coding Agent is an asynchronous software engineering agent that:
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-**Provide Clear Context:**
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Begin by describing the problem or feature request in detail. Explain *why* the change is needed, referencing any relevant background, user stories, or business goals. If the issue relates to a bug, include steps to reproduce, expected vs. actual behavior, and any error messages or screenshots.
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-**Define Expected Outcomes:**
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-**Assign the Issue to Copilot:**
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Just like you would with a human teammate, assign the issue to Copilot. This triggers the agent workflow and signals that the issue is ready for automated handling.
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### **Example Issue Template:**
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You can expect:
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- A new PR created automatically by Copilot, referencing the original issue.
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[View the example PR here.](https://github.com/recodehive/recode-website/pull/141)
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[An example Pull Request created by GitHub Copilot](https://github.com/recodehive/recode-website/pull/141)
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- Automated test results and code suggestions included in the PR.
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- Clear traceability between your issue and the resulting code changes.
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Stay engaged by reviewing the PR, providing feedback, or merging it when ready. This workflow helps you leverage automation while maintaining control over your codebase.
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---
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We’re inviting early adopters to help shape the future of the GitHub Copilot Coding Agent. Your insights are invaluable in improving the agent’s usability, reliability, and overall experience. By participating, you’ll have the opportunity to directly influence upcoming features and enhancements.
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📍**Note:** The following feedback program was available for early adopters and may no longer be active. Please check the official GitHub blog for current opportunities.
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**How to participate:**
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1.**Try out the Copilot Coding Agent:**
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Use the agent to automate coding tasks, resolve issues, or create pull requests in your repository.
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Install globally with npm:
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Powered by the same agentic harness as GitHub's Copilot coding agent, it provides intelligent assistance while staying deeply integrated with your GitHub workflow.
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Enter the promt in the command line.
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Enter the prompt in the command line.
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```bash
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npm install -g @github/copilot
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---
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## 🖥️ Usage
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Once you installed run copilot on your terminal, Image of the splash screen for the Copilot CLI. The usage is pretty straight forward you can use the arrow keys to navigate to proceed cancel instruction etc.
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Once installed, run copilot on your terminal, Image of the splash screen for the Copilot CLI. The usage is pretty straight forward you can use the arrow keys to navigate to proceed cancel instruction etc.
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Each time you submit a prompt to GitHub Copilot CLI, your monthly quota of premium requests is reduced by one. For information about premium requests,
Now lets get start with development, here fork this repo and activate GitHub CLI and enter the below bash commands. [Website](https://github.com/recodehive/recode-website)
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Now let's get started with development, here fork this repo and activate GitHub CLI and enter the below bash commands. [Website](https://github.com/recodehive/recode-website)
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### List of all commands in CLI
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I have linked the offical website repo to log any bugs or do direct PR. [GitHub CLI repo](https://github.com/github/copilot-cli?utm_source=changelog-amp-linkedin&utm_campaign=agentic-copilot-cli-launch-2025) and [Official Documentation](https://docs.github.com/en/copilot/how-tos/use-copilot-agents/use-copilot-cli?utm_campaign=agentic-copilot-cli-launch-2025&utm_source=changelog-amp-linkedin)
description: Learn the fundamentals of Git and GitHub — forking, commits, pull requests, and making your first open-source contribution.
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---
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# GitHub Basics
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Welcome to the GitHub Basics section. This collection is designed to help beginners get comfortable with Git, GitHub workflows, and making their first open-source contributions.
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Whether you're completely new or need a refresher, these guides walk you through practical steps with examples so you can start contributing confidently.
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## What you'll learn
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- How to set up Git locally and configure your account
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- Forking repositories and cloning to your machine
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- Making commits, branches, and opening pull requests
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- Using labels, issues, and maintaining clean PRs
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- Finding "good first issue" tasks and submitting your first contribution
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## Getting started
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1. Read the introduction to Git and GitHub in this section.
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2. Fork the repository you want to contribute to.
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3. Clone your fork and create a feature branch.
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4. Make changes, commit with clear messages, and push your branch.
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5. Open a Pull Request and follow contribution guidelines.
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## Recommended articles in this section
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-[Make your first open-source contribution](/docs/GitHub/GitHub-basics/first-opensource-code)
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-[Maintainer guide and labels](/docs/GitHub/Maintainer-guide/github-labels)
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-[Start from Here](/docs/GitHub/GitHub-basics/create-github-repo)
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## Need help?
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- Join our Discord for real-time help: https://discord.gg/Yxv9RA3r
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| Category | Description |
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| --- | -------------------- |
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| Issues | Retrieve data from tables |
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| Discussions | |
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| Pull requests | |
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| Notifications | |
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| Labels | |
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| Actions | |
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| Forks | |
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| Projects | |
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| Issues | Track bugs and feature requests |
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| Discussions | Community conversations and Q&A |
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| Pull requests | Code changes and review workflow |
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| Notifications | Activity alerts and updates |
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| Labels | Organize and categorize items |
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| Actions | Automated workflows and CI/CD |
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| Forks | Repository copies for development |
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| Projects | Track and manage work tasks |
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The fork is a personal copy of the repo which is already present or uploaded in GitHub by a different user. Once you fork and make changes to the repository the changes will happen to your forked repo, not the real one.
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4. Verify installation by typing `python --version` in the terminal or command prompt.
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### Why Python is So Popular?
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### Why is Python so Popular?
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Python has gained massive popularity across industries and educational institutions because of the following reasons:
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Python offers a rich standard library and thousands of third-party packages (like NumPy, Pandas, Flask, Django, TensorFlow, etc.) to build anything from simple scripts to complex systems.
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* **Cross-platform Compatibility**
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Python runs on all major operating systems (Windows, macOS, Linux), making it accessible and flexible.
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Python runs on all major operating systems (Windows, macOS, Linux) making it accessible and flexible.
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* **Strong Community Support**
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Python has a huge global community, active forums, and abundant learning resources for beginners and professionals alike.
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## Conclusion
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Python is a powerful and versatile programming language that is easy to learn and widely used across different domains. Its simple syntax, vast libraries, and strong community support make it an excellent choice for both beginners and experienced developers.
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Python is a powerful and versatile programming language that is easy to learn and widely used across different domains. Its simple syntax, vast libraries and strong community support make it an excellent choice for both beginners and experienced developers.
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# Python Casting
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# Type Casting
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In Python, **casting** is the process of converting a variable from one type to another. Python has built-in functions for converting between data types.
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# Python Lists
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# Lists in Python
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A **List** in Python is a data structure that allows you to store multiple items in a single variable. Lists are **ordered**, **mutable**, and **can contain elements of different data types**.
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