Hermes AI Agent - Convenience, Memory, and Boundaries
After OpenClaw, I wanted to see whether a smoother agent workflow could remain useful without giving up control.
After OpenClaw, I wanted to see whether a smoother agent workflow could remain useful without giving up control.
I tested OpenClaw on a VPS and learned that the real risk was not the AI agent itself, but the environment around it. Docker access, public ports, Telegram commands, workspace secrets, and human trust all became part of the security model.
Consciousness is not output. Intelligence is not selfhood. As AI systems become more fluent, the public grows more confused. This essay clarifies why machines cannot think, feel, or choose. It returns to rational definitions of mind, meaning, and value.
A practical perspective on building software with AI without sacrificing clarity or control. I don’t blindly roll with vibe coding, and I don’t defend old-school coding practices just because they feel safe. I don’t follow hype. I don’t fear change. I build with reason, with tests, with ownership.
Last week, I coded a REST API in just 10 minutes using Cursor. Normally, this process could take hours. That speed excited me, but also made me wonder: Is this the beginning of the end for developers?