Alessio Fanelli

speaker

331 appearances 1 recordings 1 series first heard Jul 2026 last heard 6 Jul

Alessio Fanelli’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.

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How I AI · How I run autonomous coding agents from my phone with OpenAI Symphony + Linear | Alessio Fanelli (Kernel Labs) · 6 Jul 2026 podcast

I could be doing this on my phone.

I could be doing this anywhere, really.

And to kind of put it to the extreme ahead, let me see if I can find it.

I created this project called PyQ, which was basically like putting your repo plus the Py agent in a VPS.

And then anybody on the internet could send you, I think I put this in a different project, could send you like a coding task to your product.

So it's almost like in the future, you know, and I think some people now have this idea of like a request for prompt instead of like request for requests.

Everything is just how do you transfer context between people.

Yeah, I took the Elixir implementation that really like the core things to change are like the workflow.md in the main folder that kind of like explains how to do it and then build the UI.

So the Symfony itself doesn't have a visual UI for it.

And I also don't think it has the same, it doesn't have by default the ledger for token usage.

So it's only like a, yeah, a state monitor.

It doesn't actually look at like, you know, how much have you spent per task and kind of like all these different things.

But yeah, I think like,

Overall, the harness, you know, it's pretty straightforward.

I think like the reality is like, how do you build tools for it to be more effective?

And that's kind of like one of the main things also at Kernel Labs we've been working on.

So we built this other thing called Glimpse, which is kind of like a playwright extension that coding agents can use to take screenshots, to do visual diffs between screenshots, take videos.

And so it's almost like,

yeah how do you let these runs kind of go longer and longer so it's less about the orchestration itself and like the tools you give it to keep going versus coming back to you with the human review and i think that's also why it's so important to like keep track of how many tokens and how much time it takes because it's usually like directionally it explains you how many issues it ran into you know so if you expect something you should start to have at some point

some idea of like how many tokens do you think this will take?

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