The perception that AI allows you to do more can lead to an overloaded schedule and burnout. Leaders should encourage teams to adjust their ways of working and take breaks, focusing on effectiveness over sheer output to maintain mental health and quality.
AI eliminates the natural pauses for alignment inherent in traditional development. To avoid building the wrong thing quickly, teams must invest more heavily in upfront planning and clear documentation of outcomes, constraints, and decision-making authority.
The biggest gains from AI come not from automating steps in an existing process, but from starting with the desired outcome and co-creating a new workflow with AI. This "first principles" approach leverages AI's capabilities far more effectively than piecemeal automation.
Lacking deep technical expertise forces product leaders to trust their engineering counterparts as experts and ask fundamental "why" questions. This approach fosters partnership and pushes engineers to think from first principles, connecting their work to the broader business strategy.
While AI tools accelerate development, they can generate verbose or unnecessary code ("AI slop"). Leaders should monitor metrics like pull request size to ensure increased output doesn't harm code quality and create downstream maintenance issues for other engineers.
Teams get the most from AI not by automating steps in an old process, but by reinventing the entire workflow around the desired outcome. This demands a willingness to let go of the "craft" and familiar processes, which can be a difficult cultural shift.
Junior team members can easily rely on AI for answers, producing generic "AI slop." Effective managers must actively coach them to critique and augment AI outputs with their own thoughts and opinions, reinforcing that they were hired for their individual judgment.
Junior employees offer more than a pipeline for future leaders; they provide essential cognitive diversity. Their fresh perspectives and lack of ingrained habits can challenge senior team members and accelerate the adoption of new technologies and workflows like AI.