Leading Effective Engineering Teams in the Age of GenAI

Using AI in software development is not about writing more code faster; it’s about building better software. It’s up to you as a leader to define what “better” means and help your team navigate how to achieve it. Treat AI as a junior team member that needs guidance. Train folks to not over-rely on AI; this can lead to skill erosion. Emphasize “trust but verify” as your mantra for AI-generated code. Leaders should upskill themselves and their teams to navigate this moment.

While AI offers unprecedented opportunities to enhance productivity and streamline workflows, it’s crucial to recognize its limitations and the evolving role of human expertise. The hard parts of software development – understanding requirements, designing maintainable systems, handling edge cases, ensuring security and performance – remain firmly in the realm of human judgment.

Source: Leading Effective Engineering Teams in the Age of GenAI