AI Tool Series – Episode 50: Boost Your Coding Efficiency with GitHub Copilot Pro+

GitHub Copilot Pro+ represents a significant leap in AI-assisted development, designed to enhance productivity, streamline coding workflows, and simplify complex code reviews. This intelligent tool integrates deeply with your IDE to provide real-time code completions, repository-level understanding, and automated pull requests.

Getting Started with GitHub Copilot Pro+

To begin, developers can choose from multiple subscription plans. After purchasing a plan, you’ll need to enable Copilot Chat and the Copilot Extension in your IDE. Once installed, the IDE prompts you to log in to GitHub and authorize the Copilot service. After successful authorization, Copilot becomes active within your coding environment.

Building an E-commerce App with Copilot

One of the key demonstrations involved generating a complete React.js and Express-based e-commerce website using Copilot. By providing a simple prompt such as “Create an e-commerce website with product listing and cart functionality,” Copilot:

• Generates the front-end and back-end folder structures.
• Installs all necessary dependencies.
• Implements key features like product display, cart management, and checkout flow.
• Provides a summary of the project structure, setup commands, and usage instructions.

The AI even handled smooth transitions between cart updates — for instance, automatically recalculating totals when product quantities change.

Intelligent Code Assistance and Pull Requests

One of Copilot Pro+’s standout capabilities is its integration with GitHub Issues and Pull Requests. For example, by creating a GitHub issue such as “Add client-side validation to the checkout form” and assigning it to Copilot, the AI can automatically generate a pull request with the necessary code changes. Within minutes, Copilot submits an updated branch with relevant file modifications and a detailed implementation summary.

This automation reduces manual intervention, allowing developers to focus on reviewing and refining the final output instead of repetitive coding tasks.

Code Review and Repository Understanding

GitHub Copilot Pro+ excels at understanding your entire repository context, not just the open files. It can review specific files (e.g., server.js), identify logical or syntax issues, and even suggest improvements. Compared to other AI coding tools like Cursor, both now support repository-level analysis, but Copilot’s integration with GitHub and its automatic PR creation offer a distinct advantage for large-scale team projects.

The agent mode feature allows you to interactively prompt the AI for code modifications, with up to 50 chat-based agent requests per month on certain plans.

Testing, Validation, and CI/CD Integration

Beyond code generation, teams also discussed using Copilot in conjunction with other tools like SonarQube and Gemini for automated testing and code quality assurance. While Copilot can generate unit test cases for APIs and business logic, automated testing execution is better handled through CI/CD tools such as GitHub Actions or Jenkins.

A best practice is to integrate Copilot’s test case suggestions into these pipelines, ensuring high code coverage (e.g., 90% or above) before deployment. This maintains stability and prevents regressions when new code is merged.

Where Copilot Shines

• Automated PR creation from GitHub Issues.
• Context-aware code suggestions across repositories.
• Quick test case generation for APIs and business logic.
• Supports multiple models like GPT-4.1, GPT-4, and Gemini 2.5 Pro.

Limitations

While Copilot can help validate logic and generate tests, it does not perform data-level validation or output verification directly on front-end reports. It’s primarily focused on code-level intelligence rather than runtime data validation.

Conclusion

GitHub Copilot Pro+ has evolved from a simple code suggestion tool into a full-fledged AI coding assistant capable of writing, reviewing, and improving code collaboratively. Its seamless integration with GitHub, ability to handle repository-wide understanding, and support for multi-agent workflows make it a compelling choice for both individual developers and enterprise teams looking to accelerate development cycles and improve code quality.