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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Appearances
our competitor getting in there.
But actually that means that we're able to even more focus on being bold and crazy because all those devs can always fall back to a cursor or a copilot.
So we actually really like that kind of deal.
The other thing there
Yeah, so prompt enhancer, that's a bullshit feature that doesn't actually work.
The theory behind it is nuts because what helps LLMs is not tricks and phrasing your prompt in a certain way.
It's fundamentally information that you have in your head that you can bring into the prompt.
And if you don't have that in a prompt enhancer, LLM cannot magically conjure that up.
It cannot narrow the search space for you.
Custom subagents, I the way that we
We disqualify that as something we wanted to build at this point is because you look at all of the tokens that you're sending to the model and it's so many more.
It's you know, so much more convoluted.
We don't think that these models are trained in a way that would support this use case and and the output of this going in here.
It's so much harder to debug.
And MCP is another thing.
MCP has done a great job.
In getting products to expose the verbs that agents might want to interact with, although in most cases they do not actually get the right verbs exposed.
But as a user facing technology, it is such a common failure mode where a user will go and add in some MCP servers.
And it takes a ton of tokens in the model, it makes everything slower and more expensive.
They're often misused, and it's just not a good experience.
Showing 141–160 of 323 · page 8 of 17
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