AI coding assistants are great at producing working code fast — and that's exactly the problem for engineers early in their career. It's never been easier to ship something that works while quietly skipping the struggle that used to build real understanding: why a bug happened, why one architecture beats another, what a senior engineer actually looks for in a code review. That gap doesn't show up right away. It shows up later, when you're the one on call and the AI-generated fix isn't obvious anymore.

What mentorship looks like

• Regular paid 1:1 sessions, tailored to where you are — new grad, self-taught, or a few years in and plateauing.
• Code review with reasoning, not just corrections — I explain the "why" behind every suggestion.
• Real debugging and architecture practice on your own code or realistic problems, not toy exercises.
• Honest feedback on how to use AI tools as leverage without losing the underlying skill.
• Career guidance: what to focus on next, how to read a job description, how to talk about your work in interviews.

This comes from the same place as the mentoring I already do inside teams at Techjays, IQVIA, ACI and Dingi — the difference here is it's structured, paid, and entirely about your growth. If you're a junior or mid-level engineer who wants a deliberate way to build judgment instead of just shipping faster, get in touch and we'll set up a plan.