The narrative is spreading fast: AI is coming for the junior role. Why invest in growing someone when a model can generate a pull request in seconds?
This way of thinking is dangerous, and it’s costing us the next generation of great engineers. The real question was never “can AI do what a junior does?” but rather “how do juniors grow into seniors?” which is a question our industry has answered for decades with methods like pair programming.
With the right structure, AI becomes a natural evolution of that practice: a 24/7 companion that knows the project, answers without judgment, and meets the junior where they are. Spec-first and intentional, it keeps them in the driver’s seat while accelerating growth across multiple dimensions, from reasoning about requirements to product thinking to implementation and beyond.
Juniors aren’t just using AI; they’re managing it. They interrogate its output, catch its blind spots, and decide when to trust it or push back. That judgment is the craft, and it’s theirs to build.
This talk brings together two perspectives: leadership and lived experience. A junior AI engineer shares what it feels like, including what unlocked, what was hard, and what she wishes she’d known earlier. An industry leader adds perspective on designing the environment that makes this growth possible, and what breaks when structure is missing.
The craft is still yours, and AI is just another tool to grow it.