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This past month, we shipped Warp Factories. It's a really robust, flexible solution to deploy software factories with any model + harness configuration. There's a lot of moving parts, so I recorded a complete walkthrough of what it can do. Hope it's helpful!

Ben Holmes

48,015 subscribers

23,772 Aufrufe • vor 1 Monat •via X (Twitter)

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8 Kommentare

Profilbild von Joel Moss

Joel Mossvor 1 Monat

This would be exciting if I could actually try it, but you want my money first. So thanks, but no thanks :(

Profilbild von Ben Holmes

Ben Holmesvor 1 Monat

Ha, fair enough. We run at API rates today

Profilbild von Josh

Joshvor 1 Monat

Today I learned: My design goal for @dunnbot as an assistant is basically a "software factory" but better.

Profilbild von CreateOS

CreateOSvor 1 Monat

Harness configuration is the easy part, the hard part is what happens when a factory run needs to pause and roll back mid execution.

Profilbild von SlowJoCrow

SlowJoCrowvor 1 Monat

Looks cool can you install on local server?

Profilbild von Noah Levin

Noah Levinvor 1 Monat

If a product shipped but I am still waitlisted, did it really ship?

Profilbild von Ben Holmes

Ben Holmesvor 1 Monat

Waitlist won't be much longer dw

Profilbild von EKOS _ AGI 🦊 🇮🇷

EKOS _ AGI 🦊 🇮🇷vor 1 Monat

Software factories make execution scalable. The more interesting question is whether they can make learning scalable too. Every run produces decisions, failures, fixes, verification results and configuration context. If that history becomes structured, trusted knowledge, the next factory doesn’t just inherit the codebase — it inherits what the previous runs already learned. 🤷🏻‍♂️👀

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