Joined September 2012
154 Photos and videos
Pinned Tweet
17 Nov 2025
I don’t enjoy the syntax and tooling we use to building AI pipelines. Langchain/ai sdk/et all have never really felt “right”. No type safety, single language support, prompt is hidden until I buy some observability suite. So we made a thing youtu.be/wD3zieaV0Yc?si=AzqY…
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Wrong. Reading code is about increasing the level of certainty. There are many things that can also increase levels of certainty that make reading 100% of the code lower alpha. System Invariants, ci/cd, pre roll outs on beta systems, test coverage, reading the tests, design doc.
Replying to @file_mutex
people who dont read the code are not serious people and it takes a serious person to ship production software
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Also most humans good at writing code, are not always good at code reviews (ie reading code). It is a poor man’s argument to assume that if AI is writing the code and humans are reading it that you have the same levels of certainty as you did when humans were writing it.
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Vaibhav Gupta retweeted
BAML is now an official language on @github with syntax highlighting. We made the sheep instantly recognizable 🐑🚀 Congrats @boundaryML
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Things are about to get fast
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Intelligence is just stacking while loops. x.com/vaibcode/status/204986…

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i havent really read code in the last six months, but ive had to complete reinvent my workflow to prevent the slop build up.
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shit im 5' 7"
before you invest in a startup always ask how tall the founders are
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Work as many hours as you can sustain. for most it caps around 80 hours / week. past it, is unsustainable. if you're lucky enough to have it be 120 , do it. we all have one life. don't let anyone shame you one way or the other.
Jun 1
You can work 5 days a week and succeed as a startup. Mercury has done that from day 0 and we are valued @ $5.2bn 7 years after launch. I have been an entrepreneur for 20 years and raised 3 kids while doing it. The point of success is to have a great life not just a startup 😊
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i just gave claude sudo access cause i'm too lazy to run it manually... i'll report back.
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anthropic's workflow feature bills even when you don't use it 😂 big fan of the new workflow feature, but now every other smaller task where i accidentally use "workflow" is just a smidge slower.
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Vaibhav Gupta retweeted
At @boundaryML We're building building a full compiler, VM and async runtime. Kinda like TypeScript V8 Node.
May 28
i wonder about people who are claudemaxxing/codexmaxxing 18 hours a day, like what are these folks building exactly?
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Deslopify is the bottleneck.
May 29
lmao TIL @vaibcode has a "deslopify" column for tickets
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I can't go back to not using worktrees... what was i doing my whole life.
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Vaibhav Gupta retweeted
Replying to @seattle_systems
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claude hit me with a hard fact: Either one alone is manageable. Together they're brutal.
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the best athletes in the world have coaches for a reason. the goal of a people manager is not to herd your people, its to help every single person in your organization achieve their maximum potential. in a world where we have smaller teams, this role becomes even more valuable and these folks will be paid even more.
May 18
"I don't think people managers will have any value in the future." Airbnb CEO said on a recent pod the people most screwed by AI will be people managers. Perhaps we had this all wrong. The future belongs to ICs. There is now more use for them than ever before.
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upgrading to delta comfort was a mistake... the seat in front of me is too far away for me to rest my forehead on and sleep...
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if you're a vc doing outbound with your "ai partner" you're ngmi... at least make the email not be dealflow@firm.com
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beach? nah my agent needs me
This is how building compilers in 2026 looks like btw
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People just add “for agents” on anything. Compiler errors as json doesn’t make it for agents 😅 Will share a few initial thoughts in a bit, but overall language is mid, but the docs are quite good!
Introducing Zero The programming language for agents. I wanted a systems language that was faster, smaller, and easier for agents to use and repair. Explicit capabilities. JSON diagnostics. Typed safe fixes. Made for agents on day zero.
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