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Transforming Existing Websites into “Design Assets”: The Workflow Innovation of MiroMiro v2 “How is that site’s layout structured?” “I want to validate this sophisticated color scheme and typography in my own project”—it is an inevitable impulse for engineers and designers to want to decode the “blueprint” of an exceptional UI when they encounter one. Until now, the standard practice was to open browser developer tools and wander through a forest of complexly nested DOM elements and massive CSS properties. However, that era of inefficient exploration is coming to an end. MiroMiro v2, which we are introducing today, is a tool that could be described as an “X-ray for web design,” instantly transforming any website into an editable canvas. ...

The New Frontier of Web Scraping: Unmasking “CloakBrowser,” the Stealth Browser That Neutralizes Cloudflare Barriers In an era where the utilization of web data determines the success or failure of a business, the endless cat-and-mouse game with “Bot Detection Systems” remains the greatest headache for engineers. “Being blocked by a 403 error the moment scraping begins,” or “Getting stuck in an infinite loop of Cloudflare puzzles”—these experiences have become a daily pain for developers. Between 2025 and 2026, website-side defenses evolved dramatically. The conventional method of simply adding “stealth.js” as a plugin to Playwright or Puppeteer is fast becoming a “relic of the past,” powerless against today’s sophisticated detection algorithms. ...

Breaking the Limits of Excel: The Optimal Solution for “Next-Gen Data Analysis” via Power BI × Python Integration In the field of business data utilization, Excel remains a powerful tool. However, with the increasing volume of data and the sophistication of analytical methods, many are hitting a wall where the traditional “spreadsheet software” framework can no longer keep up. Sluggish performance, complex and siloed macros, and static reports—the key to breaking through these challenges and extracting the true value of data lies in the fusion of Microsoft’s Power BI and the programming language Python. ...

The Savior to End “Operational Hell” in AI Agent Development: How Phrony is Redefining Next-Gen Deployment Strategies “I built a prototype of an AI agent locally, but I have no idea how to make it run stably in a production environment.” Today, many engineers are hitting this “deployment wall.” AI agents with high levels of autonomy carry operational costs that are incomparably higher than traditional web applications. A platform has emerged that offers a clear solution to this challenge: Phrony, a rising star specialized in the deployment and operations of AI agents. In this article, we will uncover the technical essence of why Phrony is poised to become an “essential tool” in the next generation of AI development. ...

The Day “Maintenance” Vanishes from Browser Automation: A New Frontier Defined by the Autonomous “Intuned Agent” For engineers involved in browser automation—whether it be web scraping or end-to-end (E2E) testing—the long-standing Achilles’ heel has been the “fragility of scripts due to changes in site structure.” A program that worked perfectly yesterday can be rendered useless today simply because a button’s class name was modified. Our precious resources have been wasted on the maintenance of this “perpetually breaking code.” ...

Establishing AI Agent “Sovereignty” via Decentralized Foundations: The DePIN × AI Horizon Mapped by Huddle01 VMs In the development of AI agents, the final and most significant barrier remains the “choice of execution environment.” Local environments are limited by 24/7 uptime requirements and scalability. Traditional cloud solutions like AWS EC2 introduce infrastructure complexity that stifles development speed. Conversely, serverless options like Lambda impose execution time limits that undermine the very essence of an agent’s “autonomy.” ...

NVIDIA Cosmos-Reason2: A New Era of Local Video Inference—Acceleration and Impact via vLLM Support NVIDIA’s latest announcement of the “Cosmos” series, a suite of state-of-the-art video generation and understanding models, has sent shockwaves through the global tech community. Of particular note is the existence of Cosmos-Reason2, which possesses the capability to interpret context within videos at the level of physical laws. Until now, high-level video analysis of this caliber required immense computational resources, making the use of cloud APIs a prerequisite. However, with the recent support from the vLLM inference engine, operating these models in high-end local environments has become a reality. This is not merely a change in the execution environment; it is the signal fire for a “democratization of video intelligence”—a revolution in video AI driven by the protection of confidential information, the pursuit of real-time performance, and the freedom of development. ...

The End of “Gritty” Entity Resolution: How We Overcame Data Cleansing Limits by Entrusting 250,000 Comparisons to AI In the world of data engineering, if one were to name the most dreaded yet unavoidable task, it would undoubtedly be “Entity Resolution” (known as nayose in Japan). Inconsistent notations, duplicate records, and minute differences in address formatting—untangling these one by one to identify the same individual or corporation is a form of “penance” that feels like walking through a data abyss. However, a ray of light called AI (LLM) is now shining onto this gritty process that has long stifled engineer creativity. ...

Into the Abyss of Uncomputability: Exploring the “Halting Problem” and the Busy Beaver’s Boundaries of Knowledge with Python “Will this program ever end?” Every developer has likely asked this question when faced with an infinite loop or a complex recursive process. With today’s sophisticated IDEs and static analysis tools, one might hope that an “algorithm capable of perfectly predicting the termination of any program” will eventually emerge. However, that hope was logically shattered in 1936 by Alan Turing. The “Halting Problem,” a cornerstone of computer science, proved that it is impossible for any universal algorithm to determine whether an arbitrary program will eventually stop or run forever. ...

4TB of Voice Data Leaked from AI Hiring Platform “Mercor”: A Turning Point for “Biometric Asset” Protection A shockwave is rippling through the AI industry. It has been revealed that Mercor, a leading AI-driven hiring and contractor platform, has suffered a massive data breach involving 4TB of voice data belonging to approximately 40,000 individuals. This incident transcends the framework of a typical personal information leak. It signifies that our “voices”—an immutable form of biometrics—have been targeted as “raw material” for AI training. We will explore the gravity of this situation from both technical and ethical perspectives, as it shakes the very foundations of digital identity. ...