Stepping away from interview prep to build a real foundation in how AI actually works, not just how to use it.
Day 2 of this journey took me slightly away from the usual interview preparation and towards something I've been wanting to understand better for a while—AI.
AI is moving incredibly fast, and one of the biggest challenges is simply keeping up. New models, tools, frameworks, and ideas keep appearing, making it difficult to understand everything as it happens.
Last year, I barely had enough time to keep up with how AI was evolving. But over the past few months, I've started spending more time understanding what's actually happening behind the scenes—not just using AI tools, but learning how the technology works.
One resource that helped me build that foundation was AI Engineering. The idea isn't to learn every new tool, but to understand the fundamentals well enough that the newer developments start making more sense.
I'm also realizing that keeping up with AI requires continuous learning. YouTube, technical documentation, and following what developers and companies are building can be useful ways to stay updated. A lot of what is being built today is already publicly documented if you're willing to look for it.
And as a developer, I'm increasingly seeing AI tools becoming part of the everyday workflow. Tools like Claude and Cursor are changing how we write, explore, and understand code. The goal isn't to blindly depend on them, but to learn how to use these tools effectively and make them part of the development process.
For me, this is becoming another part of the larger job-hunting journey.
I'm not just preparing for interviews.
I'm trying to understand where software engineering is heading and where I need to grow next.
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