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217 points · 200 comments · geoffbp

  1. btown · · focus · HN ↗
    Sometimes I think back to Google Wave, that beautiful glimmer of real-time collaborative canvases, announced in 2009 when Angular and Backbone hadn't even been invented, and think it launched almost two decades too early.

    <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Google_Wave" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Google_Wave

    <a href="https:&#x2F;&#x2F;youtu.be&#x2F;v_UyVmITiYQ?t=3850" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;v_UyVmITiYQ?t=3850

    <a href="https:&#x2F;&#x2F;www.usenix.org&#x2F;legacy&#x2F;event&#x2F;lisa09&#x2F;tech&#x2F;slides&#x2F;berlin.pdf" rel="nofollow">https:&#x2F;&#x2F;www.usenix.org&#x2F;legacy&#x2F;event&#x2F;lisa09&#x2F;tech&#x2F;slides&#x2F;berli...

    We&#x27;re now in a world where we expect real-time interfaces to be developed and immediately deployed for our feedback by agents, in business-critical settings where classic SDLC timelines are far too slow, but code quality is becoming more difficult to manage at scale.

    Git, at its core, is a fundamental notion that behavior is an auditable tree of immutable changes, where any participant can rearrange or rewind or remix this sequence on a local machine to show, and interact with, a provisional combination of those changes.

    Google Wave, with its operational transformation (OT) and federation systems, was similar in many regards. We have CRDTs now, and far better techniques for auto-merging workstreams - including agentic systems that can resolve conflicts intelligently!

    Wave fundamentally had a concept that people would come together and evolve a simple chat interface, into a customized real-time application for their use cases, and that that iteration could happen in real-time, with data and behavior both evolving in collaboration with bots. Wherever Git and the broader notion of SDLC goes, I hope it brings the best of this thinking.

    1. lucideer · · focus · HN ↗
      The Wave release was the event that really kicked off my starting to rethink my own framing of what Google&#x27;s engineering culture actually produces. I was so excited for its release, possibly moreso than any major innovation before then, &amp; what was delivered was pure crap implementation wise. The idea was brilliant, &amp; open, so theoretically someone could have done it well, but Google poisoned the well by releasing such a turd.

      Throughout it&#x27;s existence Google has been revered as a company for its engineering output, but if you interrogate that even a little bit, you end up with a very small minority of gems among a massive ocean of over engineered crap. Even the huge objective open successes like k8s are to this day sold with the massive caveat of &quot;it&#x27;s heavy &amp; over engineered, but&quot;: nobody&#x27;s calling k8s elegant. Pretty much all of their good products are acquisitions, many of which they&#x27;ve subsequently degraded.

      One can certainly make this argument about almost any large corporation, but I do think there&#x27;s very few with such a stark divide between how the quality of their engineering work is revered &amp; the reality.

      1. [deleted] · · focus · HN ↗

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