The document focuses on the transformation of engineering processes using generative AI (GenAI) in the software development lifecycle (SDLC).
More than 80% of companies are using GenAI for coding, leading to early successes such as cost savings and increased productivity. GenAI is not a one-size-fits-all solution, and its implementation faces several challenges, including low adoption, unclear return on investment, and resistance to organizational change. Achieving full potential requires a comprehensive transformation of engineering processes, not just tool implementation. Leaders should focus on removing bottlenecks, such as platform modernization and process optimization, to double engineering capacity. Transitioning from one-time GenAI implementation to continuous engineering process improvement requires the right work organization, technology foundation, organizational structure, employee skills, and continuous improvement.