Lessons learned: Integrating GenAI in software development
Is the reality as impressive as the hype? NashTech's trial of generative AI in software development reveals mixed results — some positive and some neutral.
10 pages
Practical tips
Unique insights
Unlock insights taken from our firsthand experience with GenAI in software development
Access valuable findings — both promising outcomes and interesting learnings.
- Discover how NashTech's journey with GenAI can inform your next steps in accelerating the software development lifecycle.
- Learn how to maximise the potential of GenAI by investing in proper onboarding, mastering prompt engineering, maintaining robust governance and controls, and more.
How to leverage the whitepaper?
- Learn how GenAI can accelerate coding and testing, reduce errors, and boost productivity.
- Hear feedback from our developers about their experience using GenAI in software development.
- Find out how NashTech can help your organisation increase effectiveness in software development to achieve your technology goals.
About the authors
George Lynch
Head of Technology Advisory
Head of Technology Advisory at NashTech, George has over 20+ years of experience in delivering complex technology solutions. Expert in data and analytics, George offers valuable insight into digital transformation and strategy.
Leon Doherty
Head of client on-boarding
Leon has 35+ years of experience working in IT software development. Initially as a developer and then in a variety of IT project, programme and development manager roles including 5 years working as the client lead facing NashTech and the last 12 years working for NashTech as an Engagement manager.
