Singapore Airlines (SIA) has partnered with PALO IT to implement a pioneering AI software engineering methodology, achieving a 44% faster project delivery compared to traditional methods. This collaboration focused on PALO IT’s Gen-e2™ methodology, which transforms AI from a mere coding assistant to an intelligent agent throughout all project phases.
The Proof of Concept (PoC) demonstrated the potential of an AI-first approach, with AI generating 95% of the code, documentation, and architecture diagrams. This resulted in significant productivity gains, enhanced code quality, and improved developer experience. GitHub Copilot played a crucial role, enabling SIA’s digital product squad to develop a website feature ready for user acceptance testing in just five weeks, compared to the forecasted nine weeks using traditional methods.
The success of this PoC has prompted plans to expand the use of this innovative approach across SIA’s wider IT teams. The methodology’s ease of adoption was highlighted by positive feedback from the development team, who reported improved software engineering practices.
Sharryn Napier, GitHub’s APAC VP, expressed enthusiasm about the partnership, stating, “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.”
This initiative marks a significant step in the two-year partnership between PALO IT and GitHub, aiming to harness AI’s full potential in software engineering. As SIA plans to scale this approach, the collaboration underscores the transformative impact of AI in digital product development.
