Sergei Egorov 🦋
@bsideup
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Cloud builder. Java Champion. Prev: @testcontainers co-creator, CEO/co-founder at @AtomicJarInc (acqd by @docker), StaffEng at @Pivotal/@vmware, @zeroturnaround
Boulder, CO
Joined April 2011
I know that it is "started my own podcast" these days, but... I'm available as an advisor if anyone wants to work with me without seeing my annoying face daily 😀 Happy to chat about devtools, (C)OSS/Fair Source, DevRel, devtools marketing and building cloud products 🤓 DM me!
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@charmcli Combine this with @Docker Offload (which starts containers remotely similar to @testcontainers Cloud) and you can have it run "experiments" on certain refactorings / changes while also running the tests with no impact on your laptop's performance and smoothness 🔥
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@charmcli @meowgorithm can I have predefined jobs committed to Git repo that start on each session (or, better, some Triggers functionality to trigger jobs on various events like startup)? 🤓 Fine, fine, you can make it a commercial, “team” feature if needed 🤓
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This feature is interesting 👀 I can see the days of “start a development environment for this project using available tools like @Docker on my machine” coming, sooner than I anticipated 🔥
New in Crush today: Jobs! Crush can now run and manage background processes. Spin up a dozen Xcode builds, start a swarm of Docker containers, and go crazy. The asynchronous world is now at your (LLM’s) fingertips.
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New in Crush today: Jobs! Crush can now run and manage background processes. Spin up a dozen Xcode builds, start a swarm of Docker containers, and go crazy. The asynchronous world is now at your (LLM’s) fingertips.
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Definitely echoes and learnings from previous bubbles in this piece from Eric Newcomber on why VCs are not jumping at the chance to invest in the AI neoclouds.... "Taken together, this group has been a top beneficiary of the AI industry’s mad scramble for cloud computing and the
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Them: 10x scope, range finder, zeroing, binoculars 🧐 Me: casual 260m headshot on login with 4x 🤪 P.S. yes, missing that first shot was a shame! A combination of no warm-up and the scope ring covering the glint 🫠 #Battlefield6 #BF6
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I'm seriously considering switching from traditional health insurance to @JoinCrowdHealth. We currently pay $24k/year but don't really use it. Have any of you tried it? Is there any downside for a healthy family of four? It almost seems too good to be true.
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Who else remembers LSP not being taken seriously at first? 👀 https://t.co/LmsECPoUqL
https://t.co/kJAyM4kTiL > I tried to get some info from Gradle on adding Eclipse DSLD for Gradle and they scoffed at me 😱 On a related topic - LSP could solve it all together, I wish it receives more attention, especially from IntelliJ folks...
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> future agents will probably do everything by writing code Told ya! (link in the thread) Who is building the VM for LLMs tho? 🔥
So Anthropic agrees with us: AI agents are better at writing code than running tools, and future agents will probably do everything by writing code. But where should this code *run*? My recent Cloudflare Connect talk was all about exactly this!
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Go talk to your users! They're rooting for you Just wrapped my 2nd user interview for Uncloud. Exhausting. I love meeting-free days but I have to do this. I scratched my own itch initially but now I need focus. Who is my ideal user? What will people actually pay for? This is
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Worth noting here: Bubble Tea, our high-performance TUl framework, was built on many years of patiently learning, iterating and optimizing. As a result, we can totally abstract away terminal idiosyncrasies and just pour our energy into making Crush rock. https://t.co/FQk4ifdTVi
───=≡Σ((( つ•̀ω•́)つ We juiced rendering on Crush in the latest release! Stuff’s faster + CPUs are cooler. OpenAI models on Azure now have the full OpenAI feature set, too!
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I think “Move to SF, especially if you think that you have to” billboard would go a long way in many cities like Boulder 🤓
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The use case would also require a Kubernetes-like abstraction to allow for not just compute but clustering and networking but Confidential Computing is the only missing ingredient, the network can already be e2e encrypted and compute can be abstracted as it is today, no big deal.
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See this take on Confidential Computing from last week: https://t.co/0iFo1Izsf7
One of the most silent revolutions that are currently happening is the rise of Confidential Computing - a hardware-powered/verified way of executing a computation on an untrusted hardware (e.g. the user devices, or cheap IaaS) without compromising the results. Traditionally, any
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Since I talk about the Confidential Computing, one interesting use case for it would be for PaaS products to offer "embedding" 2nd party SaaS into their platforms without giving away trade secrets. Imagine a DB cluster running alongside the PaaS workloads tuned proprietary 👀
How do folks use e.g. PlanetScale or Supabase or [insert any cloud DB] on Vercel or [insert any PaaS] and have it actually be fast?
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