Pete Hunt 🚁

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Pete Hunt 🚁

Pete Hunt 🚁

@floydophone

Dad CEO @dagster Built https://t.co/PgAYdNs1ZE Prev: Twitter, Excalidraw, Smyte, Instagram, Facebook, React.js

The internet Katılım Nisan 2008
950 Takip Edilen35K Takipçiler
Pete Hunt 🚁
Pete Hunt 🚁@floydophone·
Big news! Thrilled for the Dagster family to be joining Prefect.
Jeremiah Lowin@jlowin

🎉 I’m very excited to share that @PrefectIO is acquiring @dagster! For years, Prefect and Dagster have raised the bar for each other and our category. That competition produced two exceptional products and two of the strongest open-source communities in the data ecosystem. Today, we’re bringing them together under one profitable company with the scale and financial strength to invest for the long term. Dagster and Dagster+ will continue as distinct products and brands, supported by many of the same people who built them. We’re committed to continued investment in both products and communities, and existing and new customers can keep using them exactly as they do today. The modern orchestration category has a new center of gravity. Our ambition extends far beyond consolidating today’s market. The next generation of automation starts with a fundamental question: how do you automate software that is, itself, autonomous? Agentic orchestration requires both a clear definition of what should be achieved and a runtime capable of following paths that can’t be known in advance. Prefect’s new portfolio gives us a fantastic foundation for that work: 🎯 Dagster brings declarative outcomes and lineage 🚦 Prefect brings flexible, durable execution 🔐 FastMCP brings governed access to the tools and data agents use We’ll draw on all three as we build a new platform for autonomous software. We’re combining two of the best orchestration teams in the world at exactly the moment the problem is becoming much bigger. I can’t wait for you to see what we’re building next. Happy engineering! Read more here: prefect.io/prefect-acquir…

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Pete Hunt 🚁
Pete Hunt 🚁@floydophone·
@swyx there is also the substitution side of the equation though which is where it gets tricky
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swyx
swyx@swyx·
if you only learned about jevons paradox primarily wrt software demand in the age of agentic engineering, you may not have fully internalized jevons parodox’s impact under the conditions of: - humans who can wield coding agents well* - coding agents breaking containment to all other knowledge work as the efficiency of labor goes up/unit cost of knowledge work goes broadly down, the demand for total work and better knowledge goes up, not down. what happened to coding isnt the exception; it’s the herald. *aka AI Engineers
swyx tweet media
Sam Altman@sama

so far at least, i'm pretty sure AI has been net job-creating. this was not what i expected--although i was much less pessimistic than others, i thought by this level of capability we'd have seen some impact. it is possible this direction keeps going!

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Andrew Qu
Andrew Qu@andrewqu·
how has there not been a new: - 100% mechanical - 100% strategy - ~0% luck game since starcraft2?
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Tyler is finishing a book, slow to reply
Can anyone articulate why the vibe is so off in California and the Bay Area in particular even though it seems like everything is amazing? (beautiful weather, interesting culture, etc)
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
This model looks impressive on paper. However, Meta has no history in dev tools, save for shutting down tools devs loved and used (Parse, 2013) It will take more than a single release to gain developer trust, and love. It takes years. I wonder if Meta will persist that long?
Mark Zuckerberg@finkd

(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.

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Pete Hunt 🚁
Pete Hunt 🚁@floydophone·
@GergelyOrosz yeah we'll see. seems like a period of transition over there (to put it lightly)
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
@floydophone And as I said on Threads, hope Meta proves everyone wrong!! Would be about time to get serious on dev infra
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Pete Hunt 🚁
Pete Hunt 🚁@floydophone·
@GergelyOrosz ah if you're thinking about developer cloud services there's not much of a track record for sure
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
@floydophone Yes but not developer infra? As in not a service Meta provided, like the case w Parse
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Pete Hunt 🚁
Pete Hunt 🚁@floydophone·
@_chenglou Yes, I had this same belief too, maybe the wrongest I’ve ever been about anything
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Cheng Lou
Cheng Lou@_chenglou·
In hindsight, this ended up very wrong 😅 My big mistake was not realizing that failures are strong signals too. As long as agents can self-correct (and got enough memory), then they'll be fine (tbf it wasn't obvious 3 years ago that agents would reach human-level thinking process & error correction) Honestly, some of the strongest beliefs come from assumptions that feel simple & obvious. But the simpler they seem, the higher the chance that crucial nuances got discarded
Cheng Lou@_chenglou

My worry with this AI agents hype is that if you’ve got a reliability of 80% then chaining them 5 times gives you 80%^5=33% Which means you can only use them for exploratory tasks. But these tasks are capped by the their medium; nothing interesting there. So the only other 1/2

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Kent Beck 🌻
Kent Beck 🌻@KentBeck·
Keith Adams thought AI would democratize software, raise the floor. His dream: a version of Doom where all the monsters have my face. Instead: "more of an amplifier of differences in facility than a leveler." Expected a compressor. Got the opposite.
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Pete Hunt 🚁
Pete Hunt 🚁@floydophone·
@bcherny the a-team (1983) gave us the architecture for the modern ai-enabled software delivery team - the leader (col hannibal smith) - the face (lt tempelton peck) - the muscle (sgt ba baracus) - the wildcard (capt murdock) kids these days just keep reinventing management!
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Boris Cherny
Boris Cherny@bcherny·
As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes: 1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship 2. Builder: quickly turns a prototype/idea into production-grade product/infra 3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance 4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit 5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS. A healthy team needs a mix of these, depending on the product: - A product that is new and pre-PMF needs people that are strong at 1+2+3 - A product that is growing and has found PMF needs 2+3+4 and some 5 - A product that has strong PMF needs 3+4+5 and some 2 Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
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ricky b
ricky b@rbranson·
when you're a Senior Staff Software Engineer and your girlfriend calls you a "computer programmer" in front of the other couples at the dinner party
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james hawkins
james hawkins@james406·
wow. AI is seriously amazing. i asked it to find a better route for the Sydney - London flight Opus 4.8 found a much more efficient route that flys in a straight line instead of a curved one. but Fable 5 found an even better route that's half the distance! please tag Qantas so they can see this, this will revolutionize the airline industry
james hawkins tweet media
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Pete Hunt 🚁
Pete Hunt 🚁@floydophone·
@nikunj Yeah, I'm with you on both points. Series A is just when founders transition from storytelling grounded in speculation to storytelling grounded in metrics so it always feels that way to them. And investors ofc love to signal how selective they are!
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Nikunj Kothari
Nikunj Kothari@nikunj·
@floydophone Ha! Data suggests it’s not every year though. But it seems like the feeling is true every year?
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Flo Crivello
Flo Crivello@Altimor·
You honestly have to hand it to the Chinese for turning fraud into a scaled operation. At Uber, we found out some Chinese companies *raised VC money* off a business model of "we defraud Uber" (we were spending $30m+ / week subsidizing the Chinese market at the peak, so their "TAM" was $1.5B). When we cracked down on the fraud, some deactivated drivers came to our in-person support center to complain. We pointed out they were defrauding us; they didn't seem to see the problem. It culminated into a hostage situation(!) where they barricaded themselves into the greenlight hub and forbid any employee from leaving for close to 24h. (Shockingly: I just looked it up and found out this hasn't been reported on before. Ex-Uber China people please chime in!)
Lenny Bogdonoff@rememberlenny

TIL

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