12 pointsby nl3 days ago4 comments
  • LightBug111 hours ago
    Hasn't that long-haired, old racist just retired yet?
  • _se3 days ago
    DHH has long past the point where anyone should be caring about his technical opinions. This is a 0 substance post.
    • chokolad3 days ago
      > DHH has long past the point where anyone should be caring about his technical opinions. This is a 0 substance post.

      Can you elaborate?

      • D-Machine3 days ago
        What can be stated without evidence can be dismissed without evidence. It is IMO pretty clear to me there is no substance to this post, without knowing anything about the author.

        In general most such claims today are without substance, as they are made without any real metrics, and the metrics we actually need we just don't have. I.e. we need to quantify the technical debt of LLM code, how often it has errors relative to human-written code, and how critical / costly those errors are in each case relative to the cost of developer wages, and also need to be clear if the LLM usage is just boilerplate / webshit vs. on legacy codebases involving non-trivial logic and/or context, and whether e.g. the velocity / usefulness of the LLM-generated code decreases as the codebase grows, and etc.

        Otherwise, anyone can make vague claims that might even be in earnest, only to have e.g. studies show that in fact the productivity is reduced, despite the developer "feeling" faster. Vague claims are useless at this point without concrete measurements and numbers.

        • Ianjit3 days ago
          This study does a good job of measuring the productivity impact. It found 1% uplift in dev productivity from using AI.

          https://youtu.be/JvosMkuNxF8?si=J9qCjE-RvfU6qoU0

          • nl2 days ago
            Actually it didn't

            From the video summary itself:

            > We’ll unpack why identical tools deliver ~0% lift in some orgs and 25%+ in others.

            At https://youtu.be/JvosMkuNxF8?t=145 he says the median is 10% more productivity, and looking at the chart we can see a 19% increase for the top teams (from July 2025).

            The paper this is based on doesn't seem to be available which is frustrating though!

            • Ianjit2 days ago
              I think you are quoting productivity measured before checking the code actually works and correcting it. After re-work productivity drops to 1%. Tinestamp 14:04.
              • nl2 days ago
                That was from a single company, not across the cohort.
                • Ianjit2 days ago
                  My bad. What was the result when they measured productivity after rework across the entire co hort?
                  • nl2 days ago
                    They don't publish it as far as I can see!

                    In any case, IMHO I think AI SWE has happened in 3 phases:

                    Pre-Sonnet 3.7 (Feb 2025): Autocomplete worked.

                    Sonnet 3.7 to Codex 5.2/Opus 4.5 (Feb 2025-Nov 2025): Agentic coding started working, depending on your problem space, ambition and the model you chose

                    Post Opus 4.5 (Nov 2025): Agentic coding works in most circumstances

                    This study was published July 2025. For most of the study timeframe it isn't surprising to me that it was more trouble than it was worth.

                    But it's different now, so I'm not sure the conclusions are particularly relevant anymore.

                    As DHH pointed out: AI models are now good enough.

          • D-Machine3 days ago
            Great example of something that actually has some substance beyond meaningless anecdotes.
        • chokolad3 days ago
          The claim was > DHH has long past the point where anyone should be caring about his technical opinions.

          I asked for evidence, you are replying to something else.

  • jtbayly3 days ago
    I’ve seen the same change in the last 6 months.
    • christophilus3 days ago
      So have I. Opus 4.5 still needs close monitoring and code review, but it is now good enough for most of my day to day tasks.
  • scuff3d3 days ago
    Can we please stop taking this guy seriously...