@chessMan786 this is similar to jepsen maelstrom challenge, tracks are identical.
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t
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Reading about Raft is easy. Building it to survive dropped messages is painful.
I built a platform to learn distributed systems by writing real algorithms in your browser. We simulate network partitions and failures to test your code under pressure.
builddistributedsystem.com
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You might have noticed AI companies are snapping up companies developing in rust and zig for tooling!
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Rust: “You cannot do that. It’s unsafe.”
Developer: “But it works in C!”
Rust: “Not on my watch.”
Love it or hate it, Rust forces better habits. 👀🦀
Do you think Rust is too strict… or exactly what programming needed? 🤔
#RustProgramming #SoftwareEngineering #DevLife
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AI will help us rewrite lots of foundational infrastructure in Rust. We will live in a safety, speed, memory efficiency, predictability, and cold start performance panacea
Chris Tate@ctatedev
agent-browser is now fully native Rust. The results: 1.6x faster cold start. 18x less memory. 99x smaller install. Less abstraction means faster shipping, more control, and capabilities that weren't possible before. Now with 140+ commands across navigation, interaction, state management, network control, debugging, and multi-engine support. It's become the tool we wished existed when we started building it. Thanks to everyone who reported issues, contributed fixes, and helped shape this release. More to come.
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@ChShersh ai coding tools have this strange aura where if they fail the blame somehow shifts to the user. if it breaks, youre told you prompted it wrong. if its inconsistent you just need to learn the workflow.if it still sucks after that you must have missed some secret trick.
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> You NEED to
> Learn Claude Code
I thought the whole point was that you don't have to learn jackshit when using AI tools
Miles Deutscher@milesdeutscher
CANCEL your weekend plans. You NEED to: • Learn Claude Code • Learn Cowork (build 1-2 practical workflows) • Set up Perplexity Computer/Perplexity Finance • Optimise Cowork (plug-ins + skills) • Set up OpenClaw • Test Google AI products (Nano Banana 2, NotebookLM & more) • Experiment with basic agentic solutions (Manus) • Use AI to create a business plan/strategy/context files • Build an AI second-brain database (Notion) • Experiment with Notion Agents' *brand new* • Learn basic automation tools (MCPs, Zapier, n8n) • Learn prompt engineering - the better you can communicate with AI, the better your Outputs • Read AI articles • Dive into robotics • Research AI stocks/ETFs/investment arbitrages You have way too much to do...
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rust is not a low level language
Street Coder@StanleyMasinde
Deploying a Rust tool to a 512MB RAM VPS and seeing it idle at 10MB usage is why we bother with low-level languages.
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@waitin4agi_ im curious, what percentage of your games code is written by claude vs a human developer?
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But I do generally agree with the sentiment that in 2026 you still need to understand the fundamentals if you are making something for an end user. I do not think it will be the same in 2027 or 2028 though.
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This is not a good example. Most of the content creator class had zero film making experience and broke all the rules of creating a video and treating celebrity-|dom. And because of that today a Mr Beast is more likely to sell out a stadium than a Tom Holland.
The problem is as an industry we are highly mimetic and new ideas will only come from people who look at things entirely differently without falling into the old dogma of doing things “the right way”.
Gergely Orosz@GergelyOrosz
Saying not knowing how to code gives you an advantage in building software (thanks to AI) is like saying not knowing anything about filmmaking gives you an advantage in making films (thanks to having a smartphone + apps to edit stuff) Ignore this stuff and keep learning+building
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i don’t understand what exactly you worked with kubernetes when you can’t answer such basic networking questions. take eg. of services in kubernetes, i don’t understand how would you even describe it if you don’t know dns, protocols etc.
Yoshik K@AskYoshik
> study kubernetes all week > learn pods > learn services > learn ingress > practice kubectl commands > feel ready for devops interview > join interview > confident > interviewer: "difference between udp and tcp?" > interviewer: "how dns works?" > interviewer: "what happens when you type a url?" > interviewer: "explain bgp?" > you: "i mostly worked with kubernetes" > interviewer nods slowly > rejection email next day
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@tarunnx @paraschopra I am building a series of increasingly complex ways to prove that the model is right and my requirements are wrong. It is a system for delegating my remaining autonomy to Claude.
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Been wondering lately how many jobs in the digital economy are hanging by their supervisor’s ignorance of what Claude Code is capable of.
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Yoo, finally completing this, did take a while for the whole implementation
here is the github link : github.com/mrinalxdev/nai…
I have also added some synthetic data which I randomly got from reddit
Mrinal@Hi_Mrinal
I am going to implement a Native Bayes classifier for filtering my spam emails in golang
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Position: Agentic AI Engineering intern
Hiring processes are evolving :)
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Join me at Monster Scale Summit (free + virtual) for 40+ tech talks on NoSQL strategies, innovations & insights for data-intensive applications. 🎫 Register for free at ctt.ec/1F6b5+ #ScyllaDB #monsterscale
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@Inapplicablu @PastNostalgic @JustJake 3am debugging sessions require reading assembly, so no it is not entirely english.
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@PastNostalgic @JustJake @tarunnx And make effective people more effective
I’m not a dev but I’ve noticed the people getting the most out of it are also very good at non AI coding.
Its also very useful for things where the coding isn’t necessarily hard but the ideas are. You can code in maths and English
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Technical people should understand they're going to get their ass beat by non-technical people right now
You don't need to know how to code to write Rust anymore
Stop pearl clutching and start problem solving
Brandon@brandonkumar
High-agency (non-technical) vs low-agency (technical) talent is the most interesting disparity in tech right now
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The implementation no longer matters
People really, really need to understand that
t@perfdwag
@JustJake how will a non technical person decide between thread::spawn and tokio::spawn? why is everyone in such a hurry to prove that computer science is the most useless degree?
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Jake@JustJake
@tarunnx Operationalizing AI tools to make their feedback loop of doing + learning faster And then core, physical competencies. Speedrun frontend -> backend -> os -> distsys -> hardware. You're gonna have to run really fast towards learning hard shit. Sorry, the timeline is hard rn
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