Artículos Relacionados con Vibe Coding

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I Built Myself an Investment Workbench Using AI

For the past two weeks, I've been immersed in Vibe Coding—using AI to write code from natural language descriptions. This process has enabled me to quickly build functional tools that address long-standing personal ideas. Previously, I had many concepts but found execution too cumbersome. Key ideas included a unified dashboard for assets across US stocks, Crypto, HK stocks, and A-shares; a real-time alert system for price movements; an investment map visualizing sector relationships; and a tool to correlate prediction market bets with news and market data. Traditional development hurdles meant these often remained unrealized. Using AI (Codex, Claude Code, and DeepSeek API), I built four initial tools: 1. A **Cross-Market Asset Dashboard** showing total assets, daily P&L, and holdings by market, with added features for alerts and sector mapping. It's deployed locally for privacy. 2. A **Prediction Market (PM) Monitor** tracking bets on events (e.g., company valuations) and correlating probability shifts with news and market movements. I categorize bets by conviction to filter noise. 3. A **Simple Operations Backend** for managing my writing workflow (topics, progress, publishing). It's cloud-deployed for mobile access. 4. A **One-Click Formatting Tool** that automates converting drafts into various platform-specific formats, saving manual effort. While these tools are basic, they represent a significant shift: AI lowers the barrier to creating personalized systems. I believe individual investors can now feasibly build core systems for: * **Asset Observation** (tracking holdings and changes) * **Signal Monitoring** (watching for key market shifts) * **Sector Mapping** (understanding network relationships within a sector) * **Performance Review** (documenting rationale and outcomes) The power of Vibe Coding is its fast feedback loop. Ideas can be implemented, tested, and iterated on rapidly, turning "want-to-do" into "done." This marks the start of my new phase, where I'll share investment thoughts, tool tests, on-chain operations, and educational Web3 content.

marsbit06/16 06:22

I Built Myself an Investment Workbench Using AI

marsbit06/16 06:22

Microsoft Halts Vibe Coding: "Burning Tokens" Is Now More Expensive Than Employees

Microsoft has halted the widespread internal use of Claude Code, withdrawing licenses from most employees by the end of its fiscal year, June 30, 2026. This reversal comes just six months after actively promoting the AI coding tool to boost productivity via "vibe coding"—where developers describe intent in natural language and let the LLM generate code. The core issue isn't the tool's effectiveness; internal reports suggest employees preferred Claude Code over Microsoft's own Copilot CLI. The problem is financial: the "copilot mode" adds a variable, consumption-based token cost on top of existing employee salaries without a proportional revenue increase. As usage grew, the token bills became unsustainable, leading to what sources describe as a cost-structure failure. Similar overruns have been reported at other firms like Uber. The article contrasts this with the approach of AI-native startups, exemplified by Y Combinator's philosophy. Here, high token consumption is strategic—it replaces, rather than supplements, human labor. Startups operate with tiny teams where AI agents handle work previously done by many, making the high token bill financially viable as it offsets much larger personnel costs. The conclusion is that "vibe coding" isn't dead, but its economics fail within traditional corporate structures that treat AI as a productivity add-on for existing staff. Success requires a foundational shift to an AI-native organization, where processes are built to be "legible to AI," and the company's core knowledge and assets reside in documented, AI-accessible systems rather than solely in employees' minds. The future divide will be between companies that merely add AI tools and those that redesign their organizations around them.

marsbit05/26 08:51

Microsoft Halts Vibe Coding: "Burning Tokens" Is Now More Expensive Than Employees

marsbit05/26 08:51

Rhythm X Zhihu Hong Kong Event Skills Recruitment, Sign Up Now for a Chance to Showcase On-Site

Six months ago, "how to write good prompts" was the hottest topic in group chats. Now, that question is clearly outdated. It has been replaced by Skills. The shift was largely triggered by the emergence of OpenClaw, which brought the concept of AI agents into the mainstream. Unlike a smart search engine that answers questions in isolated interactions, an agent can plan, remember, and complete entire tasks autonomously, creating the novel feeling that it is genuinely working for you. This has led to the rise of Skills—specialized capabilities that equip agents to handle specific domains efficiently. Without Skills, an agent is like a smart but untrained newcomer; with them, it can execute complex, precision-sensitive workflows without constant guidance. Popular Skills currently spreading within communities focus on areas like workflow automation, domain-specific rule injection (e.g., for law, finance, or medicine), personalization, and even financial operations such as identifying arbitrage opportunities on Polymarket or executing quantitative trading strategies. This shifts the门槛 from requiring programming and financial expertise to simply installing a Skill. The underlying change is that people are starting to view agents as long-term collaborators, not just disposable tools. Now, with vibe coding, turning an idea into a functional Skill no longer requires a technical team, code, or infrastructure—it can be done over a weekend. The gap between a good idea and a working product has dramatically narrowed.

marsbit04/03 09:18

marsbit04/03 09:18

6 Major AI Paradigm Shifts in 2025: From RLVR Training and Vibe Coding to Nano Banana

Summary: In 2025, six key paradigm shifts are redefining the AI landscape. RLVR (Reinforcement Learning with Verifiable Rewards) has become a core training method, enabling models to develop reasoning-like strategies through optimization on objective tasks like math and coding. This has shifted computational focus from pre-training to extended RL training. The concept of "ghost" vs. "animal" intelligence highlights the unique, jagged capability profile of LLMs, which excel in verifiable domains but remain brittle elsewhere, leading to widespread skepticism of benchmark performance. Cursor emerged as a new application-layer paradigm, demonstrating how vertical-specific tools can orchestrate multiple LLM calls into complex workflows. Claude Code redefined local AI by running powerful coding agents directly on user devices, integrating deeply with private data and environments. "Vibe Coding" lowered the barrier to programming, allowing both amateurs and professionals to build software through natural language description. Finally, Google's Nano banana signaled the next major computing paradigm by moving beyond text to a multi-modal, graphical user interface for LLMs, better aligning with human visual and spatial cognition.

marsbit12/22 09:29

6 Major AI Paradigm Shifts in 2025: From RLVR Training and Vibe Coding to Nano Banana

marsbit12/22 09:29

AI + Crypto: The 2025 Guide to the Rise of the Super Individual

"AI + Crypto: The Rise of the Super-Individual in 2025" explores the convergence of artificial intelligence and cryptocurrency, which is empowering individuals to become the central creators of value, surpassing traditional institutions. A "Super-Individual" is defined as a self-sufficient creator, investor, and narrative builder who leverages AI as a cognitive extension and uses crypto for financial sovereignty. The article outlines three primary paths to becoming a Super-Individual: 1. **Content Creator (KOL):** Using AI to enhance research, content creation, and distribution, while leveraging influence for early access to projects ("KOL rounds"). 2. **Web3 Builder:** Utilizing AI to drastically reduce the cost and complexity of development, enabling solo founders to build MVPs and launch projects efficiently. 3. **Trader:** Employing "Vibe Coding" (using natural language to instruct AI) to automate trading strategies and analysis, freeing up time for higher-level decision-making. Four core competencies are identified as essential: content production, on-chain analytics proficiency, AI collaboration skills, and independent judgment. The piece highlights "Vibe Coding" as a key example, demonstrating how individuals with no coding experience can use AI to build and deploy applications from scratch. The conclusion argues that overcoming market anxiety comes from becoming a "value creator" rather than just a "value holder." By mastering AI tools and crypto sovereignty, individuals can build security through their created value, not just speculative gains. This shift towards AI-powered productivity and Web3-based ownership is presented as an irreversible trend to be embraced.

marsbit12/12 10:10

AI + Crypto: The 2025 Guide to the Rise of the Super Individual