Discover how Novacomp scaled the impact of the AI-First Development paradigm to manage a large-scale development and re-engineering project on IBM i systems. Faced with a critical situation of multiple code rejections, the team demonstrated that Artificial Intelligence, systematically integrated as the central axis of the process, not only accelerates delivery times but also drastically raises quality standards by restructuring complex components and detecting flaws that traditional methods overlooked.
What will you discover in this document?
By reading this success story, you will learn about:- The large-scale development challenge: How an AS400 deployment with 63 SQLRPGLE programs accumulated rejections from the Software Engineering Lead due to poor architecture and pre-existing bad practices.
- The pressure of the deadline: The complexity of facing a traditional estimate of 230 hours of technical work against a maximum available timeframe of only 8 days for the final delivery.
- The comprehensive six-stage methodology: The structured operational process using GitHub Copilot, which ranged from analytical mapping of the actual scope and collaborative generation to intelligent refactoring, testing, and functional bug fixing.
- The impact and quality results: How a 56% reduction in execution time was achieved (completing tasks in 100 hours), completely rebuilding 20 programs and detecting more than 15 bugs from the original deployment to guarantee a robust deliverable.