We are committed to empowering our internal teams with the most advanced tools, such as GitHub Copilot, through the session “AI Revolution: Uplifting Our Future” under the topic “AI-Driven Coding Mastery: Unlock GitHub Copilot’s Power.”
This initiative brings AI into the development process to help developers work more efficiently, faster, and with greater ease. The session was led by Mr. Thongrit Thongthom (Full Stack Developer) and Mr. Prapawit Duangkaewsansuk (Technical Consultant), who actively tested and applied GitHub Copilot across multiple programming languages. They shared hands-on experiences to demonstrate the real-world benefits and capabilities of using AI in enterprise-level software development.
AI-Powered Coding Across Multiple Languages: The Versatility of GitHub Copilot
GitHub Copilot is an intelligent coding assistant that supports a wide range of programming languages, allowing developers to choose the most suitable language for each project. Key highlights from practical usage include:
- Python
Python is ideal for data processing, especially in Data Science and Machine Learning, supported by a rich ecosystem of libraries. GitHub Copilot suggests relevant commands and reduces coding complexity, enabling faster and more accurate model development and data handling. Developers can focus more on data analysis rather than complex code writing.
- JavaScript
As one of the most popular languages for web development, JavaScript benefits greatly from Copilot’s assistance. It simplifies data cleaning, accelerates frontend development, and supports API handling and complex function creation. Copilot helps reduce errors by suggesting accurate code, making JavaScript development more efficient.
- Java For enterprise systems that require high stability, Java remains a strong choice. GitHub Copilot assists with complex code management, particularly in security-sensitive and large-scale systems. In high-security projects such as banking systems, Copilot helps ensure stability, efficiency, and reduced coding complexity.
- Go (Golang)
Designed for performance-intensive and highly connected systems such as infrastructure and backend services, Go works seamlessly with Copilot. Developers can write high-performance, stable code more quickly, reducing errors while maintaining speed and reliability.
- ElysiaJS
For developers looking to build APIs rapidly, ElysiaJS, a library developed by Thai developers, is an excellent option. GitHub Copilot simplifies API creation by suggesting appropriate code and minimizing complex setup steps, making it ideal for fast and lightweight system integration without complicated server configurations.
- SQL
For database management, SQL remains one of the most secure and efficient choices. Copilot streamlines query writing, allowing developers to focus more on data analysis. As a core language for database management and data analytics, Copilot makes SQL coding faster, simpler, and more productive.
GitHub Copilot significantly enhances speed and efficiency, reduces errors, and increases flexibility in software development. However, while AI tools simplify coding, strong fundamentals—such as understanding syntax, logic, and problem-solving skills—remain essential to fully leverage AI’s potential and achieve maximum effectiveness.
