Change is the only constant.
I recently cleaned up my GitHub repository, archiving project after project. Each one a snapshot of what I thought mattered six months ago. JavaScript APIs. Twitter integrations. Frameworks that felt essential. Now? I'm diving into RAG context windows and vector embeddings.
The tech stack shifts. Paradigms flip. Yesterday's cutting-edge is today's legacy code.
But there's one thing that hasn't changed: the people who thrive aren't the ones holding onto what they know. They're the ones who keep learning.
This isn't about burnout. It's not about learning everything. It's about staying curious. Picking up what's next. Building the habit of being a beginner over and over again.
The gap between surviving and thriving in AI isn't a tool or a framework. It's a simple practice: keep learning.
That's it.
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