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Sopra Steria has worked with a major European airline to introduce new AI tools to its software development lifecycle. By integrating a generative AI application tool - GitHub Copilot - into its software engineering processes, the airline has nearly doubled the number of releases deployed per year.
The initial pilot, which efficiently generated code and unit tests, rapidly evolved into a new operational model reducing the time required for building complex scripts from hours to minutes. Prompt engineering techniques were used to leverage better value from the tool, and benefits included:
- 20% improvement in code quality.
- Enhanced developer satisfaction by reducing time spent on routine coding tasks by up to 40%.
- Increased development velocity, with sprint performance improving by as much as 15%.
The goal of introducing GitHub Copilot was to improve code quality, optimise workflows, and boost productivity. This enabled the organisation to enhance its software engineering processes and maintain a competitive edge, which was successfully achieved.
According to Gartner’s report on How to Capture AI-Driven Productivity Gains Across the SDLC, AI can drive 25% to 30% software development life cycle (SDLC) productivity gains by making development teams more efficient and effective. By 2028, teams leveraging these tools are expected to achieve these gains.
Sopra Steria partners with clients to maximise value from AI-driven efficiencies and innovations. To discuss how we can optimise AI for your business, please
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