The Complex Path of Generative AI Adoption in Software Development
As we collectively accelerate toward generative AI (GenAI)-enabled software development, the promise of this technology rapidly changing the game for companies remains … and we must continue exploring its true ability to boost productivity.
Most market research on GenAI-attributed productivity improvement boasts a significant increase in work efficiency. For example, research by Harvard showed a 43% increase in productivity (depending on the task and seniority of the specialist). However, these findings come from controlled settings that don’t necessarily reflect real-world nuances.
We recently started to scratch the surface on how software engineering and development is being impacted now and how we need to prepare for the future. Since then, we’ve uncovered practical findings around the impact on productivity with a client that decided to pilot the adoption of GenAI into its development teams.
Download this white paper to learn more about:
- Our methodology in approaching large-scale GenAI adoption
- Core adoption challenges and how to overcome them
- Effective impact measurement, including key productivity metrics
- Developing a learning and culture program that scales for success
