AI is evolving... now what

These days, “AI Development” often means a developer is wielding an LLM to generate insights and hook into existing APIs, data, and resources. But it raises a curious question: if you’re training a deep‑learning model for something like malware analysis, does that make you a real AI developer — or is the definition shifting beneath our feet?

I’ve been experimenting with AI agents and LLM integrations. You call the APIs, update the databases, and watch new pipelines .. the exciting part?  Agent figures out what needs to be done, almost as if the intent itself has become an input.

This brings new integrations, richer insights… and fresh security puzzles. Agents can be tricked into doing things they weren’t designed for — so what do positive and negative test cases even look like now?

I don’t have all the answers. Honestly, no one does. We’re in the middle of an evolution — and the definitions, best practices, and even the questions are still taking shape.