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.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. By Addy Osmani.
Key takeaways from this blog post:
- Leading engineering teams in the age of GenAI is about building better software, not just writing code faster.
- Leaders must define what “better” means for their teams and projects.
- Upskilling oneself and the team is crucial; focusing on AI usage best practices and ethical considerations.
- The role of leadership evolves to include strategic guidance, oversight, and fostering a culture that values both humans and AI.
The future leader will h ave to be adept at fostering a culture where AI is used effectively but isn’t seen as a replacement for human skills. It’s about finding that perfect balance between leveraging technology to augment human abilities and maintaining those qualities that make us uniquely valuable in the workplace—creativity, judgment, and empathy. Excellent read!
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