The white paper outlines the technological foundations of GenAI, particularly the capabilities and limitations of large language models (LLMs). It describes the tools already available and explains the transition from the first AI code assistants to “agentic AI for software engineering” – advanced, autonomously operating systems that can perform complex tasks independently.
The study examines the use of generative AI across all phases of the software development cycle and illustrates how collaboration between humans and AI-supported tools can be effective. It shows that GenAI can support the entire development process – from requirements management to creative solution design, implementation, and monitoring and validation. This allows software developers to focus more on creative and conceptual tasks while automating routine work.
The study also clarifies that integrating GenAI significantly boosts productivity and efficiency throughout the entire development process. At the same time, it highlights the quality of the solutions produced and the role of human creativity in the development of innovative products. The authors emphasize the importance of a holistic end-to-end approach: humans and machines must complement each other in a targeted way. The introduction of GenAI should be gradual, controlled, and continuously adapted.
Despite its significant potential, the study points to key challenges. Successfully implementing GenAI requires substantial effort from enterprises. It demands considerable investment, specialized expertise, and structured change management. It is crucial to consider potential pitfalls alongside the rapid development of technologies and tools, enabling a flexible response to new technological advances.
The white paper concludes that simply using GenAI does not guarantee a competitive advantage. However, companies that ignore technological changes put their long-term competitiveness at risk. Conversely, those that implement generative AI in a strategic, responsible, and comprehensive way can gain a lasting advantage in an increasingly digital economy.