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.
Rumors also suggest the upcoming MacBook might use the A18 Pro from the iPhone 16 Pro, a chip that benchmarks faster than the M1. Even if it only has six cores, making it slower for heavy workloads than the M2, an A18 Pro-powered MacBook would still be more than enough power for basic productivity work. Not everyone needs the surprising amount of GPU power in the MacBook Air — especially if downgrading means they can save $200 to $300.
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