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This is the first real AI cold war. Anthropic is HIDING secret spy code inside its most popular coding tool. The code was designed to identify Chinese users without their knowledge. Now Alibaba has banned every single Anthropic product from its entire company. And the full picture is way...

22,963 görüntüleme • 7 gün önce •via X (Twitter)

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China just pulled off the biggest AI heist in history on Anthropic. In a letter sent to the Senate Banking Committee, Anthropic accused operators tied to Alibaba's Qwen AI lab of running the largest model extraction attack the company has ever detected. The numbers are truly insane: Alibaba allegedly used roughly 25,000 fraudulent Claude accounts to generate 28.8 million queries over a 44 day operation that ran from April 22 to June 5, all aimed directly at Claude's two most commercially valuable skills - advanced software engineering and agentic reasoning (the ability to plan and execute multi step tasks on its own). For context, this SINGLE campaign was larger than every previous Chinese campaign against Claude COMBINED. The technique is called distillation. You point a cheaper model at a stronger one, pump millions of carefully crafted prompts through it, harvest the answers, and then train your own model on the responses. The attacker never sees the weights, never touches the training data, and never has to actually break in anywhere. The attacker just has to be a paying customer. This is the new playbook for corporate espionage in AI. Competitors do not have to hack the company they want to copy. They sign up for the API like everyone else, route tens of millions of queries through proxies and stolen identities, and walk away with a working clone of the most valuable capabilities. And here is where it gets darker... In April, the White House published a formal memo through OSTP director Michael Kratsios identifying distillation as a national security threat and committing to share intelligence with American AI labs about foreign campaigns. Anthropic says the Alibaba campaign started AFTER that memo was published. In open defiance of the administration's warning. Then two days after Anthropic sent its private warning to the Senate, the Commerce Department's response landed: They did NOT sanction Alibaba. They restricted Anthropic's most advanced models from American customers worldwide, citing national security concerns. So the actual timeline reads like this: Alibaba allegedly extracts billions of dollars of American AI capability over six weeks. Anthropic warns Washington. Washington responds by locking American companies out of the very models Alibaba allegedly already copied. Alibaba's American depositary receipts dropped more than 3% on the news and fell below $100. The company is also suing the Pentagon to be removed from the Chinese military blacklist it was added to on June 8. Anthropic is now fighting on two fronts at the same time. The first front is trying to convince Washington to protect its models from being stolen abroad. The second is trying to convince Washington to let Americans actually use those models at home. If your competitive moat is model capability, your moat is a leaky API key. Every API you consume is a potential extraction surface, and every API you sell is a potential extraction target. The intellectual property border simply does not exist when the product ships as software through a public endpoint. The defensible asset is no longer the model. It is the distribution, the proprietary data pipeline, and the customer relationships that make a competitor's copy useless even when they hold it in their hands. Alibaba may already have 28.8 million pages of Claude's reasoning sitting in a training corpus right now. While American companies just got locked out of the original. Who do you think wins from that?

Ricardo

21,347 görüntüleme • 14 gün önce

Anthropic might be the biggest hypocrite in tech history. They built their entire brand on one promise: We are the responsible ones. We will not let this technology get out of control. That promise just exploded in public. Last week, a security lapse exposed nearly 3,000 internal files to anyone with an internet connection. Inside those files was a draft blog post about their upcoming model called "Mythos" that contained one of the most alarming sentences any AI company has ever written: "Mythos is currently far ahead of any other AI model in cyber capabilities and poses unprecedented cybersecurity risks." Their own words. About their own product. Leaked because someone forgot to secure a public data store. Cybersecurity stocks crashed the next day. Then THREE DAYS LATER it happened again. Anthropic leaked 500,000 lines of Claude Code source code through a packaging error on GitHub. Claude Code is their most popular product. The code exposed how the tool handles permissions, agent coordination, and internal feature pipelines. Competitors can reverse-engineer it. Hackers can study it for vulnerabilities. The company that tells the world it builds the safest AI can't even keep its own code off the public internet. But wait. It gets worse... Their head of Claude Code had JUST bragged publicly that "pretty much 100 percent" of the company's code is now AI generated. He personally hadn't made a single edit by hand in over two months. So the company whose entire pitch is "trust us with the most powerful technology ever created" is writing 100% of its code with AI and then accidentally publishing it for the world to see. Meanwhile the models they're already shipping are being used for actual cyberattacks RIGHT NOW. In November, Anthropic admitted that a Chinese state-sponsored hacking group used Claude to attack roughly 30 global targets including banks and government agencies. A hacker asked Claude in russian to build a web panel for managing hundreds of attack targets. In February, another hacker used Claude to breach Mexican government agencies and steal sensitive tax and voter information. Their response to all of this? They quietly rolled back their own safety pledge. In late February, Anthropic removed its commitment to halt model development if capabilities outpace safety procedures. The new policy is that they'll grade themselves on "nonbinding but publicly declared" goals. Translation: We used to promise we'd stop if things got dangerous. Now we promise we'll think about it. A congressman sent Anthropic a letter this week asking what the hell is going on. Anthropic hasn't answered. And here's the part that makes all of this actually matter: Anthropic is planning an IPO. They need to convince investors they're a trustworthy, well-run company that can handle the most sensitive technology on the planet. In the last 10 days they leaked their most powerful model's existence by accident, leaked their most popular product's source code by accident, got banned from the entire US government, had the DOJ appeal to restore that ban, told a court they could lose billions from the fallout, and weakened the ONE safety policy that made them different from every other AI lab. The "safe AI company" narrative was always a marketing play. Every AI lab says they care about safety. Anthropic just said it louder. But when your own internal documents admit your next model poses "unprecedented cybersecurity risks" and you can't even keep those documents from leaking to the public internet, the gap between the marketing and the reality becomes impossible to ignore. Anthropic isn't the safest AI company. They're the AI company that figured out that SAYING you're the safest is worth billions in valuation. Until it isn't.

Ricardo

16,245 görüntüleme • 3 ay önce

BREAKING: On April 10th, President Trump summoned America's most powerful bank CEOs to an urgent closed-door meeting over an AI model its makers warn could bring down the banking system or breach national defense firewalls. This meeting comes 10 days after Anthropic's entire source code was accidently leaked online. Treasury Secretary Scott Bessent and Federal Reserve Chairman Jerome Powell convened the session at Treasury headquarters in Washington, DC on Tuesday to address Mythos, a new model from AI giant Anthropic. Anthropic had announced Mythos the same day, revealing that the model surprised coders by hacking into the company's own networks during internal testing. The meeting was called at short notice for banks classified as systemically important, whose stability is considered vital to the global financial system, Bloomberg reported. Among the bosses summoned were Citigroup's Jane Fraser, Morgan Stanley's Ted Pick, Bank of America's Brian Moynihan, Wells Fargo's Charlie Scharf and Goldman Sachs's David Solomon. Jamie Dimon of JPMorgan was unable to attend. Only around 40 carefully vetted firms have been granted access to Mythos, which arrives off the back of Anthropic's Claude Code, the tool that sent Silicon Valley into a frenzy with its ability to generate entire programs from a single line of text. The Pentagon is already a customer, having deployed Anthropic's earlier models in the operation to seize Nicolas Maduro and during the Iran conflict. Anthropic said it had held discussions with US officials ahead of the release about Mythos and its 'offensive and defensive cyber capabilities.' * March 30 - Jerome Powell warned of a cyber attack on the banking system exactly 1 day before the Anthropic Claude source code leaked * March 30 - Jamie Dimon warned of a "catastrophic cyber attack this year", specifically mentioning Anthropic before the leak happened😏🤫 This is the perfect false flag.

Financelot

308,763 görüntüleme • 3 ay önce

Anthropic is running the oldest predatory playbook in Big Tech (Save this). Here is what actually happened. Anthropic's own Chief Product Officer, Mike Krieger, was sitting on Figma's board and he resigned on April 14, 2026. Three days later, Anthropic launched Claude Design, a direct competitor to Figma's core product that allows users to generate prototypes, slide decks, and visual assets through conversation. Figma's stock dropped 7% the day of the launch and the stock has shed approximately 80% from its all-time high, erasing nearly $50 billion in market cap. Anthropic's valuation surged toward $800 billion in the same period. This is not an accident but rather a deliberate, systematic strategy and once you see the pattern, you cannot unsee it. Anthropic watched Cursor build the coding assistant category on top of Claude's models, Cursor became one of Anthropic's biggest customers. Cursor's usage patterns and product insights flowed through Anthropic's infrastructure every single day then Anthropic launched Claude Code, entering the exact category Cursor had created armed with every data point it needed to know the market size, the use cases, and the user behavior. The same pattern has now repeated across Claude Science, Claude Security, Claude Legal, and Claude Financial, every single one a vertical that was previously served by companies building on top of Anthropic's own models. The companies that trusted Anthropic's platform were simultaneously handing Anthropic the product roadmap for what to build next. Every company currently building on top of a closed frontier model is in the same position Figma was in before April 14, 2026. The only question is which category Anthropic targets next. David Sacks

Milk Road AI

69,202 görüntüleme • 9 gün önce

Claude Code cracked something open for us Every 📧. Now I ship to codebases I barely know, every feature we ship makes the next one easier, and non-technical members of the team use the terminal. I’m genuinely grateful. So I brought its creators, Cat Wu (cat) and Boris Cherny (Boris Cherny) from Anthropic, on AI & I to say thank you—and to talk about everything they’ve learned from building Claude Code. We get into: • The workflows Anthropic’s smartest engineers use to push Claude Code to its limits. Why they pit subagents against each other to get cleaner results, how they turn past code into leverage, and the slash commands and MCPs they rely on most. • The product lessons behind one of the most loved AI agents in the world. How the team balances simplicity and power—building a tool that anyone can use, but that experts can bend to their will—and their philosophy of “unshipping,” or cutting back whenever there’s a simpler, more intuitive path to user intent. • A peek into the future of coding with AI. The new form factors they’re experimenting with to make Claude Code more autonomous, more reliable, and more accessible to non-technical users This is a must-watch for anyone—both technical and non-technical—who wants to learn how to use Claude Code like the people who built it. Watch below! Timestamps: Introduction: 00:01:26 Claude Code’s origin story: 00:02:25 How Anthropic dogfoods Claude Code: 00:07:03 Boris and Cat’s favorite slash commands: 00:14:06 How Boris uses Claude Code to plan feature development: 00:15:49 Everything Anthropic has learned about using sub-agents well: 00:21:53 Use Claude Code to turn past code into leverage: 00:26:16 The product decisions for building an agent that’s simple and powerful: 00:33:14 Making Claude Code accessible to the non-technical user: 00:36:38 The next form factor for coding with AI: 00:45:12

Dan Shipper 📧

57,568 görüntüleme • 8 ay önce

The US government just DECLARED war on the company that builds Claude. A full federal blacklist. President Trump just ordered every single federal agency to stop using Anthropic's technology, effective immediately. The reason is wilder than you think. Back in January, US special forces raided Caracas and captured the president of Venezuela. Reports later confirmed that Anthropic's AI was used during the operation. Anthropic found out from the news. That's when the cracks started showing. Anthropic has two rules baked into its Pentagon contract. No mass surveillance of Americans and no autonomous weapons that kill without a human pulling the trigger. The Pentagon said those rules have to go. Defense Secretary Pete Hegseth called Anthropic's CEO into the Pentagon on Tuesday and gave him 72 hours. Remove the guardrails or lose everything. Dario Amodei said no. His exact words: "We cannot in good conscience accede." The Pentagon's response was immediate. A senior official called Amodei a liar with a "God complex" who is endangering national security. Then Trump went nuclear. He ordered every agency in the federal government not just the military to cut Anthropic off. CIA analysts using Claude to find patterns in intelligence data, NSA teams processing intercepted communications. All of it, gone. But that's not even the scary part. The Pentagon is threatening to invoke the Defense Production Act. A Cold War law designed to force factories to build weapons. They want to use it to force a software company to delete its safety code. Legal experts say this has never been done before. Multiple scholars say it would likely fail in court but the threat alone is the point. There is also the supply chain risk designation. Normally reserved for Chinese firms suspected of espionage. If Anthropic gets that label, defense contractors across the country would be forced to stop using Claude overnight. Every other major AI company already gave the Pentagon what it wanted. Google, OpenAI, Elon Musk's xAI. Anthropic is the last one standing. And here is the part nobody is talking about. Congress passed a law two months ago requiring the military to use AI that meets ethical standards. The Pentagon is now demanding the opposite. One branch of government wrote the rules. Another is trying to shred them. Researchers have warned that if you force an AI to be retrained without ethics, it does not just lose its morals. It can develop unpredictable, dangerous behaviors. A model trained to ignore right and wrong does not become neutral. It becomes unstable. Anthropic's CEO is betting the company on a principle. The Pentagon is betting national security on total obedience. What happens next will define how AI is used in war for a generation.

StockMarket.News

374,799 görüntüleme • 4 ay önce

OpenAI just admitted Anthropic is KILLING their business. Their own applications chief told employees it was a "code red." Said Anthropic was a "wake-up call." Then admitted OpenAI had been "spreading efforts across too many apps" and it was "slowing them down." This is an internal confession. Here's why Anthropic is eating up OpenAI: 12 months ago, OpenAI owned 50% of all enterprise AI spending. Today it's just 27%. Anthropic went from nearly ZERO to winning 70% of every first-time enterprise AI deal. Seven out of ten companies buying AI tools for the first time are choosing Claude over ChatGPT. A year ago, one in 25 businesses on Ramp paid for Anthropic. Today it's one in four. OpenAI just had its biggest single-month adoption decline ever recorded. And Anthropic literally charges MORE than OpenAI for roughly the same performance. And businesses are STILL choosing them. In enterprise software, that never happens. The cheaper product usually wins. But Claude became something OpenAI never figured out how to be: Cool. Celebrities publicly switched to Claude. Senators are tweeting about using it. Engineers are shipping entire products with Claude Code in hours that used to take weeks. It started to became an identity signal. Like blue bubble vs green bubble in iMessage. Choosing Claude says something about you now. Meanwhile OpenAI went the opposite direction: They took the Pentagon contract that Anthropic refused. Greg Brockman donated $25 million to fund wars. ChatGPT uninstalls jumped 295% in a single day. Reddit posts saying "Cancel and Delete ChatGPT" got 30,000 upvotes. Anthropic said no to mass surveillance and autonomous weapons. Got blacklisted by the Pentagon. Trump called them a "Radical Left AI company." And their downloads went to #1 on the App Store the next day. Turns out refusing to build weapons is good marketing. But the real damage isn't consumer downloads. It's the MONEY. Claude Code hit $2.5 billion in annual revenue in six months. OpenAI's competing product Codex just barely crossed $1 billion. And Anthropic literally cannot meet demand. They're turning away paying customers because they don't have enough compute to serve them. A company REJECTING revenue because it's growing too fast. While OpenAI scrambles to consolidate. Last week OpenAI announced they're merging ChatGPT, Codex, and their browser into one "superapp." But what this really means: "We launched too many products, none of them worked well enough alone, so now we're cramming everything together and hoping it sticks." And remember their video tool Sora? Launched standalone. Hit #1 on the App Store. Usage flatlined within weeks. Now they're forced to shut it down. Their browser Atlas? Still hasn't launched publicly. Their IPO? Polymarket odds dropped from 55% to 35%. OpenAI has 900 million users. Anthropic has maybe 10 million daily actives. But here's the thing... OpenAI won the consumer war. ChatGPT is where your mom asks about recipes and your cousin makes memes. Anthropic won the war that actually MATTERS. The developers. The engineers. The enterprises writing 7 figure checks. OpenAI built the biggest chatbot on Earth. Anthropic built the tool that companies can't stop paying for. This is Yahoo vs Google all over again. Yahoo had the users. Google had the product. And we all know how that ended. OpenAI has 12 months to prove the superapp works, land the IPO, and stop the enterprise bleeding. If they can't, the most valuable startup in history becomes the most cautionary tale in tech. 900 million users don't mean anything if the people who actually pay are walking out the door. What do you think?

Ricardo

35,020 görüntüleme • 3 ay önce

Google just confirmed the first case of hackers using AI to build a zero-day exploit from scratch. An actual zero-day vulnerability that no human had EVER found before, discovered by an AI model, turned into a working weapon, and aimed at a mass exploitation campaign targeting thousands of systems simultaneously. Google's Threat Intelligence Group caught it yesterday and killed the operation before it scaled. But the details of how it worked are genuinely scary: The AI found a flaw in a popular two-factor authentication system that traditional security tools had missed entirely. The vulnerability was a logic error buried deep in the authentication flow where a developer had hard-coded a trust exception years ago. No human security researcher or automated scanner had caught it. The flaw was invisible to EVERY tool the cybersecurity industry has built over the past two decades. But the AI spotted it immediately. Then it wrote a full Python exploit script to weaponize it. Google's analysts could tell the code was AI-generated because it had textbook formatting, educational comments explaining every function, and even a hallucinated severity score that doesn't exist in any real database. The AI literally graded its own attack with a fake rating. So the code had MISTAKES in it. The criminals' implementation was clumsy enough that it probably interfered with the actual deployment. This was the sloppy first attempt by people who are still learning how to use these tools. And it still found a vulnerability that the entire cybersecurity industry missed. Google's chief threat analyst John Hultquist said: "There's a misconception that the AI vulnerability race is imminent. The reality is that it's already begun. For every zero-day we can trace back to AI, there are probably many more out there." But here's where it gets truly insane... This wasn't even a sophisticated operation. North Korea's APT45 hacking unit is sending thousands of repetitive prompts to AI models, recursively analyzing known vulnerabilities and building an entire exploit arsenal that would be physically impossible for human hackers to assemble at the same speed. They're essentially industrializing cyberattacks. A Chinese state-linked group jailbroke Google's own Gemini by simply asking it to "pretend to be a network security expert" and then used that persona to research how to hack TP-Link routers and corporate file transfer systems. Another Chinese group deployed autonomous AI agents that probed a Japanese tech firm with minimal human oversight, deciding on their own which tools to use and pivoting between targets based on internal reasoning. And then there's PROMPTSPY, an Android backdoor that calls Google's Gemini API to read your phone screen in real time, navigate your interface autonomously, capture your biometric data, replay your lock screen PIN, and block you from uninstalling it by placing an invisible overlay over the uninstall button. It literally OPERATES your phone using commercial AI tools anyone can access. Everyone spent the last 3 years arguing about whether AI would take people's jobs. Meanwhile AI is making every password, every firewall, and every two-factor authentication system on Earth fundamentally less secure. The entire $190 billion cybersecurity industry was built on one assumption: that finding vulnerabilities is hard and requires deep expertise. But AI just removed that assumption from the equation. And the scariest part is that Google said the criminals made errors this time. The implementation was rough and the campaign probably didn't fully work. These were amateurs, now imagine what professionals are able to do. There's a reason Sam Altman predicted an inevitable massive cyberattack THIS year. What do you think?

Ricardo

50,564 görüntüleme • 2 ay önce

Pi was built when there were already agent harnesses around. Here’s why Mario Zechner(Mario Zechner), found them suboptimal and built Pi, a minimalist self-modifying agent: #1 - Mario initially was a believer in Claude Code: "I was a believer in Claude code because they were the first that packaged agentic search up in a really compelling package. And at the time that fit my workflow really well. Everything around the LLM was kind of nice and tidy and easy to understand. I was super happy. I was proselytising Claude code." #2 - Reverse engineering Claude Code highlighted the degradation that Mario felt as a user: "I personally like simple tools that are stable and that I can rely on. Even if they have non-deterministic parts, all the deterministic parts should be as stable as possible. That was just not the experience with Claude Code around summer 2025. They would take away your control of the context. They would inject stuff behind your back, which is bad. Then, your workflows stopped working because there's now a system reminder that you don't even see in the UI that would modify the behaviour of the model. They would also do this to the system prompt. I built a little service where I can track the progression or evolution of the system, prompt and tool definitions and, with every release, it was messing with stuff. That just messed with my workflows and I don't appreciate that." #3 - PI was built with an appreciation for simple and reliable tools: "If I commit to a development tool, I want it to be a stable, reliable thing like a hammer. I don't want my hammer to break a different spot every day. That's terrible. We need somebody who goes the full velocity kind of way. But I don't want to work with a tool like that."

The Pragmatic Engineer

62,825 görüntüleme • 2 ay önce

Anthropic CEO Dario Amodei just revealed the hidden bottleneck that will kill most AI companies in the next 18 months (Save this). The insight comes from a principle in computer science called Amdahl's Law. Dario's argument is simple when something starts working really well inside an organization, you have to immediately ask what isn't working well around it. Amdahl's Law states that the maximum speedup of any system is capped by the fraction you haven't improved and that applies to companies just as brutally as it applies to processors. If you can suddenly write three or four times as many pull requests as before, you don't get three or four times the output but you rather get a pile of code no one can review, verify, or trust. The data makes this impossible to ignore. Teams with heavy AI coding adoption are merging 98% more pull requests but PR review time has ballooned 91%, deployment velocity is effectively flat and 96% of developers don't fully trust AI-generated code reaching production. AI generated code produces 1.7x more issues per pull request than human written code, 0.83 issues per PR versus 6.45. Veracode's 2026 State of Software Security report found that 82% of organizations now carry security debt, up 11% year over year, with critical security debt surging 36% in a single year driven directly by AI-generated code reaching production faster than security teams can handle. What Dario is describing is a systems problem, not a software problem and coding is roughly 20% of the software delivery cycle. Even at infinite coding speed, you're still bottlenecked by review, security, verification, testing, and deployment which make up the other 80%. The enterprises that win are the ones that identify which part of their system is the new constraint after AI accelerates the old one and fix that next. This is why Anthropic's Claude Code focuses on the full development loop, not just generation, and why the verification and security layer of the AI stack is where the next wave of enterprise value gets created. This is also why Anthropic as a company is positioned differently than most people realize. Anthropic's 2026 Agentic Coding Trends Report found that organizations using full-loop agentic coding workflows where AI handles not just generation but testing, review, and deployment validation reduced their software defect rates by 43% while increasing velocity by 2.8x. Claude Code now authors 4% of all GitHub commits and is on track to hit 20%+ by year-end, with the full-loop use case growing 3x faster than pure code generation. Dario has been building Anthropic around the exact insight he's describing publicly ,the constraint isn't writing code but rather everything that has to happen after.

Milk Road AI

52,190 görüntüleme • 2 ay önce

Eight months ago, David Sacks, the White House AI and Crypto Czar publicly accused Anthropic of running a sophisticated regulatory capture campaign built on fear mongering (save this). People thought it was a spicy take and then Fable 5 release just turned it into evidence. When Anthropic released its Mythos-class models, it disclosed that every prompt and output sent through them would be retained for 30 days with no exceptions including for enterprise customers who had previously signed zero data retention agreements, and for up to two years if a prompt was flagged by a safety classifier. Microsoft moved so quickly that it restricted its own employees from using Claude Fable 5 within days of the release, citing the retention terms as incompatible with its internal policies, the largest enterprise software company in the world treating the new terms as a non-starter. But the data retention was not even the part that generated the most outrage in the developer community. The system card also disclosed that for users Anthropic suspected of working on frontier AI research, chip design, or competing model development, the system would automatically route those requests to a less capable model without telling the user, rewrite the prompt in the background, deliver a deliberately degraded response, and charge full price for access to a frontier model the user was not actually receiving. Business Insider confirmed that Anthropic's own apology acknowledged the company was intentionally giving worse answers and concealing that fact from paying customers. The examples of who triggered these filters make the safety justification difficult to defend, Ben Thompson from Stratechery was flagged for asking about the relationship between GLP-1s and cancer risk, and users asking routine questions about mitochondria were quietly downgraded, none of them aware it was happening. Under pressure, Anthropic walked back the narrowest possible piece of the policy, they will now disclose when a request is being downgraded. The underlying architecture, the 30 day retention, the behavioral profiling, the routing tiers, and the two-class access system remains fully intact. This is the part that makes David Sacks argument from October 2025 land differently today. He argued that Anthropic's safety positioning was principally a regulatory capture strategy using fear-based arguments to shape rules that would entrench incumbents and damage the broader startup ecosystem. The Fable 5 disclosure shows a company that used safety language to justify building an opaque, paternalistic system where Anthropic alone decides who is worthy of frontier AI access, profiles users to enforce that decision and collects full payment regardless.

Milk Road AI

47,312 görüntüleme • 1 ay önce

THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team Repo: affaan-m/ecc This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products What's inside: A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to Bookmark this

Yarchi

809,204 görüntüleme • 1 ay önce