Will AI replace junior devs? During ETHSilesia, @sir_mimok from @theveloperseu shared a different take:

Day 2 of ETHSilesia shifted the focus to the builders. The schedule was packed with workshops focused on practical development, followed by the hackathon opening. From deep-diving into new tools to forming teams and starting the first lines of code, the transition from learning to doing is officially underway. The building has begun! 🚀

Anthropic gave 16 AI agents $20,000 and 2 weeks. No human wrote a single line of code. They built a program that can compile the Linux operating system from scratch. Here’s why the coordination matters more than the result. Imagine 16 workers renovating the same house simultaneously. Without rules, they’d paint over each other’s walls. Solution: before starting a job, each agent writes their name on a sign-up sheet. If someone already claimed “fix the kitchen,” you pick something else. Simple file in a shared folder. First come, first served. Any problems? Yes. The system broke when they hit one massive task: compiling the Linux kernel. Think of it like 16 cooks trying to fix one broken recipe at the same time. Each one tastes the soup, adds salt, but the next cook doesn’t know salt was already added. They kept undoing each other’s work. The fix was clever. They brought in a professional chef (GCC, an existing compiler) to cook most of the meal. The AI agents only handled random portions. When something tasted wrong, they could pinpoint exactly which portion the AI messed up. Some would call that cheating. But the agents decided to do this themselves, no human told them to. And honestly, knowing when to use existing tools instead of reinventing everything from scratch? That’s what good engineers do too. What they built: 100,000 lines of code. Can compile Linux, PostgreSQL, Redis, FFmpeg, and even run Doom. 99% pass rate on standard tests. What they can’t do: “Hello World” sometimes fails. Now the reality check. The GitHub repo has 41 open issues. Titles include: “can’t even compile linux as the description says,” “big words with nothing to back them up,” and simply “F*** off.” People who actually tried using the compiler found parser errors, missing tests, and broken basic features. The methodology, 16 agents coordinating via git locks, splitting work, self-organizing, that’s genuinely forward-thinking. But the output today remains a toy, not a tool professionals would trust. The approach is the future. The result isn’t there yet. And that gap is exactly where the interesting work happens next. ------ source: anthropic.com/engineering/bu…

The V is for Victory – but only if it's shared. Relax, @sama @DarioAmodei ✌️

Today, we are at Crypto Talks Warsaw, discussing the future of the crypto market in an era of increasing regulation. We’re also exploring how the Baltic countries can cooperate to better serve and benefit their citizens.

The shift in AI development is being "manufactured" in real-time. Have you noticed the surge in "I haven't coded in weeks" posts? This is often a conspiracy of convenience. On one side, Big Tech benefits from narratives that prioritize "AI replacement" over skill. They are building the habits they need to lock you into monthly enterprise subscriptions where you trade your autonomy for their tokens. On the other side, "AI Gurus" play on your fear of job loss, shilling "100-agent" setups that look great in a demo but fail in production. The result is a knowledge scam. Companies are burning millions on AI subscriptions to "learn AI" from people who only know how to prompt, not how to build. Here is the reality: If you are merely a "code writer", someone who outputs syntax without soul, Claude will replace you. But if you are an artist who treats code as a passion and a craft, you will not be replaced. The worst case scenario is simply a change in your toolkit. You might need to switch to different instruments, but you will keep doing what you are passionate about: building production grade things that work. At theVelopers, we see through the noise. We aren't prompt-pushers; we are AI mess debuggers and AI-code-artists. We specialize in production grade engineering: turning vibe-coded prototypes into resilient, secure systems.

2025 was the year of rapid change where speed became the only metric that mattered. But as we close the year, the market is rejecting "vibe coding." AI-generated technical debt is compounding faster than teams can ship, and systems built on intuition alone are collapsing under scale. The response from senior engineers isn’t less AI, it’s deterministic engineering with AI as leverage. Boilerplate is automated. Architecture is not. Constraints are enforced harder, not softer. At @theveloperseu we don’t use AI to write more code. We use it to write less. The objective is simple: -> 10x shipment speed -> 1x footprint of clean, auditable, maintainable code This is how elite dev teams survive the automation of the average. And how protocols avoid becoming unmaintainable the moment traction appears. We’ve moved beyond fast food grade prompts to rules-driven agents that turn business requirements into structured operational intelligence. By desagning an autonomous agent that scans codebases and project goals in real-time we’ve created a live-code reviewer that monitors both human and AI contributions. This ensures every line of code serves the core business logic. The goal is clear: shared situational awareness for collective engineering teams, without slowing down shipment.

Who we are and why you should work with us? theVelopers[.]eu is a Poland-based engineering studio building blockchain and AI systems end to end, from smart contracts and infrastructure to full-stack products, led by a senior team focused on shipping production-grade solutions.

Your idea may be bold, but your production must be bullet-proof. At theVelopers, we believe you shouldn’t overload your best engineers with half-baked “next-gen” code. It’s becoming way too common for CEOs to vibe-code their ideas and accidentally kill their own startups in the process. Choose production-grade discipline over “vibe-code” chaos. Our polished engineering will unslop your “next-gen” rush and deliver a system you’ll be proud to ship.

Try to build games and simulated environments, because making them verifiable for AI can unlock breakthroughs that reshape everything we know about digital intelligence; passion drives this frontier, and theV is filled with engineers who treat that passion like fuel. Verifiable worlds are no longer theory, as Google has already shown with agents mastering complex skills across Goat Simulator 3 and No Man’s Sky, and the momentum behind this approach is only getting stronger. --- dexerto.com/gaming/googles-n…