An AI agent coding skeptic tries AI agent coding, in excessive detail

· · 来源:tutorial资讯

在中国市场,这一转型呈现出更为复杂的现实图景。一方面,继续依赖抽佣,短期内仍可能支撑财务表现;但长期看,生态摩擦加剧、供给侧对抗与用户体验下降,将反过来侵蚀平台的商业基础。另一方面,转向服务化、工具化与效率定价,虽然短期承压,却有助于重建平台与供给侧之间的关系,使平台从分配者逐步转向基础设施提供者。

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The Cars' 1978 anthem of sweet relief plays during the new Lady Penwood's ball (no spoilers!) and yeah, this party — and this Altum Quartet cover — is kind of what the Ton needed.

A neuroevo

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.