Quinn Slack

speaker
323 appearances 1 recordings 1 series first heard Sep 2025 last heard 25 Sep

Quinn Slack’s voice in public audio — every appearance, attributed to the second.

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So, you know, there's all of these things that we've said no to, and other tools are bringing them in and they're saying yes to all these things.
I think it feels like they're making progress in the meantime, and people retweet and people talk about how they're able to do these amazing things.
But just the simplest example that seems
So obvious, and frankly, it confounds me that people more people don't do this.
You make it so that my Google Docs and Notion and Linear and GitHub issues are all accessible to my agent.
The vast, vast majority of developers who use AMP or Cloud Code or anything else, they don't have all those context sources set up.
That seems like such a slam dunk.
So we built that, we ripped it out.
Before we would move forward with that, we'd have to get an answer, even for our own usage.
Why
Why are we not doing that?
And it's frankly still puzzling to us, but we're not going to touch that until we get confident about that.
And to come back to the example, you mentioned compact.
One model that I have is if you are relatively on the cutting edge of using agents and there's some persistent problem like this, it feels kind of out of band, like how the model itself will update its memory or will update the linear issue, the model needs to be trained in order to do that better.
If it's something like your own coding conventions, that's different.
But if it's something fundamental that feels like about out of band from the agent, the model needs to be trained.
to deal with memory better or to accept the fact that it might have a incorrect view of its own history if you go back and edit it.
And we're feeling these pains right now because people have only been using a genet coding tools for a matter of months.
Most people have been using them for like less than three months.
And if we're only feeling them now, it takes a little bit of time for a team at a Model House to go and do a fine tune of one of their really big models or they've
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