Engineering Leadership in the Age of AI
The landscape of engineering leadership is undergoing a profound transformation. As AI reshapes how we build software, it demands new approaches to team management, performance evaluation, and organizational visibility.
At this intersection of technology and leadership, we explore questions that define the future of engineering work:
How do we measure meaningful impact when traditional metrics fail us?
What does effective leadership look like in AI-augmented engineering teams?
How can we create environments where technical talent thrives sustainably?
What new frameworks help us communicate engineering value to business stakeholders?
How might we use AI not just as a coding tool, but as a force multiplier for entire organizations?
Our perspectives are informed by conversations with hundreds of engineering leaders across organizations of all sizes. These insights also guide our work at Maestro AI, where we're developing tools that provide engineering leaders with objective visibility into their teams' work.
We believe in a future where technology elevates engineering leadership—where AI handles the mundane so we can focus on the meaningful, where data illuminates the path forward, and where technical leaders can make truly informed decisions about their most valuable resource: their people.
This Substack serves as a platform for exploring ideas at the frontier of engineering leadership in the AI era—a space for thought pieces that might help us all navigate this rapidly evolving landscape with greater clarity and purpose.
Join us for these occasional reflections as we collectively define what engineering leadership means in the age of AI.
Because ultimately, work should matter.
