Relying on tools first is holding devs back.

Most juniors skip real thinking when they lean on GenAI autopilot.

Our teams rush to use AI to code everything in seconds.

However, without a true understanding, bugs, hallucinations, and security risks can creep in.

Junior once accepted AI-generated code blindly—and later found logic flaws in production.

It cost hours, confidence, and trust from my team.

Now, I “learn before I lean”: decode the problem, explore manually, then ask GenAI to assist.

This way, I prevent errors, gain a deeper understanding of the solution, and maintain control.

How do you balance learning with using AI as a co-pilot?

Ever seen AI save time—or cost you big—because of this mix?