Singapore Airlines Accelerates Digital Product Development with Generative AI and GitHub Copilot

Singapore Airlines Accelerates Digital Product Development with Generative AI

Singapore Airlines is adopting generative AI to speed up its digital product development process. Following a successful pilot, the airline worked with global tech consultancy PALO IT to test an AI-first software development method called Gen-e2.

This trial focused on integrating GitHub Copilot throughout the software development lifecycle. By continuously collaborating with this AI tool, developers were able to write code faster and reduce errors. This approach made the system more adaptive, iterative, and automated.

Faster Development and Higher Quality

• The development team completed a website feature in five weeks, compared to nine weeks using traditional methods.
• Code coverage improved significantly, ensuring better test completeness.
• Build success rates rose above 90% within just three weeks.
• Developer feedback on the AI-assisted workflow was overwhelmingly positive.

This pilot is a result of a two-year collaboration between PALO IT and GitHub, focusing on leveraging Copilot’s capabilities to enhance software engineering with AI.

Strategic Partnerships Drive Innovation

Sharryn Napier, Vice President for Asia Pacific at GitHub, emphasized the importance of partnerships in expanding the use of Copilot. She said, “We’re excited to deepen our partnership with PALO IT and enable more companies to unlock innovation at scale through AI-driven software development — just as we’ve seen with Singapore Airlines.”

For product development professionals looking to improve efficiency and quality, integrating AI tools like GitHub Copilot can significantly reduce development cycles and improve code reliability.

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