Why do I, my mother-in-law, and Nava all knock on wood? None of us really know. Perhaps it’s a legacy of the Bronze Age; perhaps it’s a meme from Victorian Britain. What is certain is that it’s not something a robot with an LLM-based brain is going to do habitually, just as robots will never share in mental frameworks deriving from quirks of our physical architecture, like handedness.
Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.
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