What challenges should leaders watch out for while integrating AI into their software development processes, particularly concerning team dynamics or staff adoption?

AI needs as much context as possible about the codebase, environment, and organizational needs. Without sufficient context, risks increase. We are working to centralize context for AI agents. Additionally, engineers must continue to review each other’s code and remain responsible for their output, regardless of how it was produced. Pairing less experienced engineers with more experienced ones offers oversight.

I recommend a full RACI matrix with AI as a defined role, clearly outlining responsibilities. This helps reduce anxiety and supports psychological safety. Clear communication about AI’s role in projects provides direction.

Leaders should monitor team resistance and confusion over roles. Specifically, when to rely on AI and when human input is needed. Overreliance on AI should be avoided. Maintaining human oversight, managing ethical risks, and ensuring AI complements rather than replaces humans is the way forward.