Singapore Airlines slashes development time by 45% using GenAI coding with GitHub Copilot and PALO IT’s Gen-e2 approach.
Singapore Airlines is integrating GenAI coding into its software development process following a successful pilot with PALO IT. Using the Gen-e2 methodology and GitHub Copilot, the airline’s development team built new digital features in just five weeks. Down from the usual nine—marking a 45% improvement in delivery speed. The AI-powered tool helped developers write cleaner, error-free code throughout the entire lifecycle.
The trial demonstrated notable gains in code coverage and build success rates, which rose above 90% within three weeks. Developers reported higher satisfaction. Finding that Copilot reduced repetitive tasks and allowed more focus on creative problem-solving. The GenAI approach made the workflow more adaptive, automated, and iterative. Fitting seamlessly into the agile development process.
This initiative stems from a two-year partnership between PALO IT and GitHub, focusing on unlocking AI’s full potential in enterprise software engineering. The integration of Copilot into daily work routines allowed Singapore Airlines’ tech teams to harness AI as an active coding assistant rather than a post-process review tool. Changing how they approach design, development, and testing.
Buoyed by this success, Singapore Airlines plans to scale GenAI adoption across more squads to boost innovation speed and product quality. The project confirms that GenAI tools like Copilot can reduce errors. Also improves development confidence, and enable faster feature delivery, critical in the competitive travel tech space.