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Dax Raad

What Dax Raad thinks about coding agents

@dax-raad · 28 positions · 0 changes of mind

Builds developer tools — SST, and now OpenCode at Anomaly. Co-hosts the How About Tomorrow? podcast with Adam Elmore.

Everything they publish, on ppll ↗

Dax Raad did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

5 dated positions, 2026, in their own words. Our reading of what Dax Raad has said — not written or endorsed by them.

  1. Our readingA coding-agent company should not train its own model: it has to stay neutral ground for models to compete on.

    Their wordspeople ask us if we'll train our own model and the answer currently is no 1. we are too dumb to 2. there's plenty of other well funded efforts 3. we need to remain a neutral ground for models to battle

    ↗@thdxr on Xx.com

    Interesting
  2. 3 months earlier

  3. Our readingNobody in the coding-agent market is using AI so much better than everyone else that their competitors cannot keep up — the gap you would expect to see simply is not there.

    Their wordsnone of our competitors are crushing us either. Like no one out there is using AI so well that they just like we can't even compete, right? Um, and we're in the coding agent space. All our competitors are super into AI. So you would think in our space there would be like uh a huge gap, but there there just isn't.

    ↗Building OpenCode with Dax Raadyoutube.com 4th of 24 in this recording

    Interesting

  5. Our readingThe winning move in coding agents was inverted: take share with a merely good-enough harness first, then go back and make the harness smart.

    Their wordsAnd our harness wasn't very good for like the first like five months of open code. But it was good enough. It was good enough that most people couldn't really tell a difference. And once we won enough share, then we went back and like tried to make our harness like good and smart and optimize and all those things. But uh it was inverted from what everybody else was doing. Everybody else was being like you have to build the smartest harness and that's how you win.

    ↗Building OpenCode with Dax Raadyoutube.com 9th of 24 in this recording

    Interesting

  7. Our readingThere is a world where AI coding tools change nothing except that engineers are happier, and for a lot of companies that is not good enough to keep paying for.

    Their wordsthere is a world where the net result of all these AI coding tools is the same amount of work gets done, but all the engineers are happier because their job is easier. That's not good enough for a lot of companies. So, they're just going to say go back to typing out the code.

    ↗Building OpenCode with Dax Raadyoutube.com 15th of 24 in this recording

    Interesting

  9. Our readingThe verbose enterprise patterns everyone hated are worth having again: coding agents are idiots working around the clock, and you are not the one typing the boilerplate any more.

    Their wordsWe're now doing it in a much heavier way because we find that these like kind of bory enterprisey uh patterns end up being pretty useful because you have a bunch of idiots on your team now. The coding agents are a bunch of idiots and they are going to work 24/7 and they're going to like ship a lot of stuff. So you need way more guardrails than you used to.

    ↗Building OpenCode with Dax Raadyoutube.com 23rd of 24 in this recording

    Interesting