
AI-First vs AI-Assist: Early-career developer training in the public sector
How will AI shape the careers of new developers in the public sector?
With AI becoming more common, ignoring the technology isn’t really an option for developers just starting out. It will play a role in how they’re trained.
The question is, how do we bring AI into the learning process? How can we ensure developers use AI safely and responsibly to build resilient digital products fit for the public sector?
That’s what we explored when we tasked two CyberFirst interns to investigate how AI influences learning.
The result of that is the white paper: AI-First vs AI-Assist: Early-career developer training in the public sector
AI-First & AI-Assist
We define the terms and look at how the interns used both approaches to develop solutions, highlighting the potential benefits and limitations of each in developer training.
Why this matters for the public sector
What do public sector organisations need to consider when adopting these approaches, and what risks and opportunities come with them? We explore how you can reduce those risks and help developers safely build secure, resilient digital services.
Who should read this?
Anyone in the public sector involved in the adoption of AI. It’s especially useful for those responsible for setting technical strategy, managing developer teams, or involved in workforce training and development.