Eduardo Soubihe

982 posts

Eduardo Soubihe

Eduardo Soubihe

@esoubihe

Builder. CTO @latitudesh

Katılım Ocak 2013
271 Takip Edilen358 Takipçiler
Latitude.sh | Consensus Miami 🇺🇸
3rd year at @consensus2026 … guess that makes us OGs - booth #3914 - New locations (spoilers: 🇦🇺 & 🇨🇦) - k8ns in Public Preview - Solana Seeker giveaway - builders side event > pull up 👉 luma.com/thjwjiie 𝙄𝙛 𝙮𝙤𝙪 like 𝙩𝙝𝙞𝙨 𝙩𝙬𝙚𝙚𝙩… 𝙮𝙤𝙪’𝙧𝙚 𝙖𝙥𝙥𝙧𝙤𝙫𝙚𝙙 𝙛𝙤𝙧 𝙤𝙪𝙧 𝙨𝙞𝙙𝙚 𝙚𝙫𝙚𝙣𝙩 👀
Latitude.sh | Consensus Miami 🇺🇸 tweet media
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Achille
Achille@__Achille__·
I heard in several conversations that coding agents are the end of open-source software. I strongly disagree.
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Chris Bakke
Chris Bakke@ChrisJBakke·
Running a company: 2020: can you survive a pandemic? 2021: still here? we’re going to give all of your competitors $100m series A rounds. 2022: wow, you made it? okay, all engineers cost $600,000/year now. 2023: nice job! okay, SVB failed and we’re going to take away your bank account. 2024: a survivor I see. but can you pivot from ai to crypto to defense tech back to ai-enabled defense tech in a 12 month period to stay relevant? 2025: unfortunately all of your competitors have raised $2b series B rounds. oh and only 500 engineers are relevant and they cost $100m/yr each. 2026: well, well, well. you’re still in business? let’s deploy the thunderclap of godlike LLMs from the heavens so all of your customers can rebuild your app in 2 hours. can you survive?
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EthCC - Ethereum Community Conference
Most Ethereum teams upgraded to cloud VMs and called it a day. But VMs come with hidden costs nobody talks about. Victor Chiea from @latitudesh is on the Redford Stage right now breaking down what Ethereum workloads actually need 🔧 📍 Redford Stage | 12:50 - 13:10
EthCC - Ethereum Community Conference tweet media
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dex
dex@dexhorthy·
lot of sandbox infra is building for the "cattle" use case but I think we'll see just as much use cases for "pets" as background agents become the norm. I still find it hard to shift from "agents running in remote compute" to "agents running on my laptop" - not because of the agent or the inference, but because I'm used to having everything right in its place, libraries, clis, repo paths, etc etc. The first step to remote coding agents should feel at least somewhat continuous in this regard You bring the server or base image and configure it how you want with API keys, repo checkouts, etc - then the agent platform runs sessions on that host sure you need some more plumbing to make it work in terms of compute efficiency but the cost of a small-to-medium EC2 is pennies compared to the cost of tokens I'm blasting through this thing. enterprise side here interesting too...run everything in your VPC etc.
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Mehul Mohan
Mehul Mohan@mehulmpt·
genuinely insane release. all those hot AI sandbox startups you see, every single one of them use firecracker (or similar stuff). > get $$$$ aws credits > build this AI sandbox startup > use non-bare metal instances with custom upscale/downscale infra > ???? > profit
Mehul Mohan@mehulmpt

AWS has quietly launched the biggest update to EC2 instances in YEARS I found this out while doing a legacy firecracker workload migration to @awscloud. AWS now supports nested virtualization on non-bare metal instances (no PVM, actual real /dev/kvm!) Talking about it now

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Latitude.sh | Consensus Miami 🇺🇸
✅ We are now SOC 2 Type II certified! Everything you love about our platform, now with enterprise-grade compliance.
Latitude.sh | Consensus Miami 🇺🇸 tweet media
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Eduardo Soubihe@esoubihe·
.@conductor_build replaced Cursor and Github Desktop for me while making me considerably more productive. Cool product
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Ivan Velichko
Ivan Velichko@iximiuz·
@esoubihe @latitudesh Sorry, you lost me. I keep looking at how AX102-like machines are x4 on your pricing page, and can't really think of a single reason to switch.
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Ivan Velichko
Ivan Velichko@iximiuz·
Just paid over 600 EUR in setup fees to Hetzner. AMA x3 monthly price to just set up a server is nuts
Ivan Velichko tweet media
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Eduardo Soubihe@esoubihe·
@iximiuz @latitudesh Here's an image from our internal pricing tracker. Roughly same price for large machines. The smaller servers that cost 80% more have 20x more throughput and ~2.5x more performance than theirs. Also LSH's 23 global locations, global network, programmability etc
Eduardo Soubihe tweet media
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Ivan Velichko
Ivan Velichko@iximiuz·
@esoubihe @latitudesh Hetzner bare metal provides the exact level of control I need. Anything more managed would be unwanted and anything less managed would be inconvenient.
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Eduardo Soubihe@esoubihe·
@iximiuz @latitudesh and you can get even cheaper by buying it directly from dell and running it yourself. doesn’t make it better
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Ivan Velichko
Ivan Velichko@iximiuz·
@esoubihe @latitudesh Have you even checked Hetzner prices? Your offer is x5 more expensive. Even with the new setup fees, Hetzner is a much cheaper way to get bare-metal servers.
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Ovais Tariq
Ovais Tariq@ovaistariq·
@esoubihe Agents need isolated workspaces per-run for things like storing artifacts, persisting checkpoints, tool outputs, etc.
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Ovais Tariq
Ovais Tariq@ovaistariq·
Yup. There are assumptions baked into platforms that are breaking. One example I am seeing is that traditional storage platforms expect relatively smaller number of buckets compared to the number of files. But with agentic workloads we are seeing an entirely different pattern - millions of buckets each with very few files.
Ivan Burazin@ivanburazin

Talked to a bunch of voice AI, database, file search, and sandbox companies over the last 2 weeks. All dealing with two core problems: 1/ Spiky load (unpredictable massive spikes) 2/ Horizontal scale breaking (outages from massive volume of requests) These aren't vendor-specific. They're category-wide. Agent workloads broke infra patterns that worked for the last two decades.

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Eduardo Soubihe@esoubihe·
@bosunski @jmsalcido @levelsio The reason this is a problem is because tool calls are made from within the model. What you need is an isolated sandbox with secrets. Agent calls sandbox -> sandbox returns structured data to agent
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‘Bosun Egberinde
‘Bosun Egberinde@bosunski·
@jmsalcido @levelsio You tell me how an agent can take action against other systems, on your customers behalf with the said alternatives without over engineering.
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Aaron Levie
Aaron Levie@levie·
Here’s how this plays out. Software used to be too expensive and hard to write to automate most things. Now it’s vastly cheaper and faster to code. Thus, leverage has gone up dramatically, which means we’ll use software for far more. Leasing to more demand for engineering.
kache@yacineMTB

AI has automated software engineering. What you would expect is that there would be no more work left to do for software. But instead what has happened is that the leverage of doing software has increased so much, that doing anything else is a waste of time

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Yishan
Yishan@yishan·
Adopting AI into your work makes everyone a CEO, and there's something about it that very few people understand (mostly because few people are CEOs): When you have an front-line job, you spend maybe 1-5% of your brainpower of high-level, critical-thinking strategy. Most of your job is just running some SOP that's been given to you. Move up a couple levels, maybe you're managing a little team, and you might spend 10-25% of your time making critical strategic decisions. The rest of the time, you're executing departmental strategy that was handed to you, and your time is spent making sure your team carries that out. Once you're the CEO, you'll have (if you're good at your job) delegated all of the routine problems and issues that are straightforward to solve to capable executives. What's left for you? Only the hardest and most critical decisions. The better and more capable your staff, the harder the questions will be that bubble up to you, because they take care of everything else. Those become the only duties you have left: thinking REALLY hard about very dfificult, ambiguous, strategic decisions. And now it's your entire job. Instead of 10-25% intensity (or less), it's 80-90% intensity. Incidentally, this is why you hear about CEOs having these intensely regimented lives and health-oriented habits: it's all designed to biologically support the fact that their brains have to be operating at peak capacity nearly all the time. So now everyone is starting to manage armies of agents doing the routine parts of their job. If you're good, you can distill your job into a clear SOP that the agents run, and now "all you have to do" is oversee them... ... and now lots of people are learning that being the boss isn't quite as easy as they thought.
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