Summarizer

Early Internet Parallels

Observation that current coding agent optimization feels like late 1990s HTML/SQL era, with experienced engineers quickly spotting bottlenecks

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The current rise of coding agents mirrors the experimental energy of the late 1990s, shifting the technical focus from manual execution to high-level optimization. Experienced software engineers are uniquely positioned in this landscape, leveraging years of traditional practice to instinctively identify bottlenecks that AI might overlook. By pairing sophisticated design intuition with automated development tools, these veterans are transforming the coding process into a collaborative cycle of rapid iteration. Ultimately, this perspective suggests that deep industry experience is the primary catalyst for maximizing the efficiency and potential of modern AI-driven workflows.

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It feels like the late 1990s all over again, but instead of html and sql, it’s coding agents. This time around, a lot of us are well experienced at software engineering and so we can find optimizations simply by using claude code all day long. We get an idea, we work with ai to help create a detailed design and then let it develop it for us.
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The people who spent years doing the work manually are the ones who immediately see where the bottlenecks are.