MAROKO133 Eksklusif ai: The creator of Claude Code just revealed his workflow, and develop

📌 MAROKO133 Update ai: The creator of Claude Code just revealed his workflow, and

When the creator of the world's most advanced coding agent speaks, Silicon Valley doesn't just listen — it takes notes.

For the past week, the engineering community has been dissecting a thread on X from Boris Cherny, the creator and head of Claude Code at Anthropic. What began as a casual sharing of his personal terminal setup has spiraled into a viral manifesto on the future of software development, with industry insiders calling it a watershed moment for the startup.

"If you're not reading the Claude Code best practices straight from its creator, you're behind as a programmer," wrote Jeff Tang, a prominent voice in the developer community. Kyle McNease, another industry observer, went further, declaring that with Cherny's "game-changing updates," Anthropic is "on fire," potentially facing "their ChatGPT moment."

The excitement stems from a paradox: Cherny's workflow is surprisingly simple, yet it allows a single human to operate with the output capacity of a small engineering department. As one user noted on X after implementing Cherny's setup, the experience "feels more like Starcraft" than traditional coding — a shift from typing syntax to commanding autonomous units.

Here is an analysis of the workflow that is reshaping how software gets built, straight from the architect himself.

How running five AI agents at once turns coding into a real-time strategy game

The most striking revelation from Cherny's disclosure is that he does not code in a linear fashion. In the traditional "inner loop" of development, a programmer writes a function, tests it, and moves to the next. Cherny, however, acts as a fleet commander.

"I run 5 Claudes in parallel in my terminal," Cherny wrote. "I number my tabs 1-5, and use system notifications to know when a Claude needs input."

By utilizing iTerm2 system notifications, Cherny effectively manages five simultaneous work streams. While one agent runs a test suite, another refactors a legacy module, and a third drafts documentation. He also runs "5-10 Claudes on claude.ai" in his browser, using a "teleport" command to hand off sessions between the web and his local machine.

This validates the "do more with less" strategy articulated by Anthropic President Daniela Amodei earlier this week. While competitors like OpenAI pursue trillion-dollar infrastructure build-outs, Anthropic is proving that superior orchestration of existing models can yield exponential productivity gains.

The counterintuitive case for choosing the slowest, smartest model

In a surprising move for an industry obsessed with latency, Cherny revealed that he exclusively uses Anthropic's heaviest, slowest model: Opus 4.5.

"I use Opus 4.5 with thinking for everything," Cherny explained. "It's the best coding model I've ever used, and even though it's bigger & slower than Sonnet, since you have to steer it less and it's better at tool use, it is almost always faster than using a smaller model in the end."

For enterprise technology leaders, this is a critical insight. The bottleneck in modern AI development isn't the generation speed of the token; it is the human time spent correcting the AI's mistakes. Cherny's workflow suggests that paying the "compute tax" for a smarter model upfront eliminates the "correction tax" later.

One shared file turns every AI mistake into a permanent lesson

Cherny also detailed how his team solves the problem of AI amnesia. Standard large language models do not "remember" a company's specific coding style or architectural decisions from one session to the next.

To address this, Cherny's team maintains a single file named CLAUDE.md in their git repository. "Anytime we see Claude do something incorrectly we add it to the CLAUDE.md, so Claude knows not to do it next time," he wrote.

This practice transforms the codebase into a self-correcting organism. When a human developer reviews a pull request and spots an error, they don't just fix the code; they tag the AI to update its own instructions. "Every mistake becomes a rule," noted Aakash Gupta, a product leader analyzing the thread. The longer the team works together, the smarter the agent becomes.

Slash commands and subagents automate the most tedious parts of development

The "vanilla" workflow one observer praised is powered by rigorous automation of repetitive tasks. Cherny uses slash commands — custom shortcuts checked into the project's repository — to handle complex operations with a single keystroke.

He highlighted a command called /commit-push-pr, which he invokes dozens of times daily. Instead of manually typing git commands, writing a commit message, and opening a pull request, the agent handles the bureaucracy of version control autonomously.

Cherny also deploys subagents — specialized AI personas — to handle specific phases of the development lifecycle. He uses a code-simplifier to clean up architecture after the main work is done and a verify-app agent to run end-to-end tests before anything ships.

Why verification loops are the real unlock for AI-generated code

If there is a single reason Claude Code has reportedly hit $1 billion in annual recurring revenue so quickly, it is likely the verification loop. The AI is not just a text generator; it is a tester.

"Claude tests every single change I land to claude.ai/code using the Claude Chrome extension," Cherny wrote. "It opens a browser, tests the UI, and iterates until the code works and the UX feels good."

He argues that giving the AI a way to verify its own work — whether through browser automation, running bash commands, or executing test suites — improves the quality of the final result by "2-3x." The agent doesn't just write code; it proves the code works.

What Cherny's workflow signals about the future of software engineering

The reaction to Cherny's thread suggests a pivotal shift in how developers think about their craft. For years, "AI coding" meant an autocomplete function in a text editor — a faster way to type. Cherny has demonstrated that it can now function as an operating system for labor itself.

"Read this if you're already an engineer… and want more power," Jeff Tang summarized on X.

The tools to multiply human output by a factor of five are already here. They require only a willingness to stop thinking of AI as an assistant and start treating it as a workforce. The progr…

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🔗 Sumber: venturebeat.com

📌 MAROKO133 Breaking ai: Government Approving Artist Visas for OnlyFans Models Bas

For foreign-born people looking for an easy entry into the United States, success no longer seems to hinge on merit, or even lady luck. Nowadays, it’s more about whether you flaunt your stuff on OnlyFans — and how many slobbering followers you can amass while doing it.

We wish we were kidding. Some downright bizarre reporting by the Financial Times found that when it comes to coveted O-1 visas, influencers and models — particularly ones operating on the adult-oriented subscription service OnlyFans — are dominating the government’s approved list. (These visas, categorized as O-1A for those demonstrating extraordinary abilities in science, education, business, or athletics, and O-1B for artists, have skyrocketed in popularity over the last decade.)

Between 2014 and 2024, the number of O-1 visas granted each year has increased by more than 50 percent, per the FT. Though the number of O-1s granted pales in comparison to the number of H-1Bs, the infamous visas for skilled workers, attorneys told the publication that criteria for artist visas has been updated in order to make it easier for online influencers to make the cut.

High follower counts and subscription earnings, for example, are easy to copy and paste into application documents in order to signify success.

“Officers are being handed petitions where value is framed almost entirely through algorithm-based metrics,” immigration attorney Shervin Abachi told the FT. “Once that becomes normalised, the system moves towards treating artistic merit like a scoreboard.”

As a result of this shift, immigration attorneys like Michael Wildes are no longer representing transgressive painters or influential musicians, but OnlyFans performers and TikTok stars.

“I knew the days of representing iconic names like Boy George and Sinéad O’Connor were over,” Wildes told the FT. Some attorneys interviewed by the publication estimated these kinds of influencers now made up over half their total workload.

Abachi didn’t mince words, explaining that the change represents a “structural shift” in immigration law. “What looks like a spike in influencer filings may be signaling a broader shift in how opportunity is allocated.”

More on influencers: Scientists Figured Out the Personality Traits of Influencers, and It Could Explain a Lot

The post Government Approving Artist Visas for OnlyFans Models Based on How Many Followers They Have appeared first on Futurism.

🔗 Sumber: futurism.com