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Only Work 2 Hours a Day? This Google Engineer Uses Claude to Automate 80% of His Work

A Google engineer with 11 years of experience automated 80% of his work using Claude Code and a simple .NET application, reducing his daily work from 8 hours to just 2–3 hours while generating $28,000 in monthly passive income. The key to this transformation lies in three core elements: First, using a structured CLAUDE.md file based on Andrej Karpathy’s principles—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—reduces Claude’s rule violations from 40% to just 3%. Second, the "Everything Claude Code" system acts as a full AI engineering team, with 27 pre-built agents for planning, reviewing, and executing tasks across multiple AI platforms. Third, a hidden token consumption issue in Claude Code v2.1.100 was identified, where 20,000 extra tokens were silently added, diluting instructions and reducing output quality. A quick fix using npx downgrades the version to avoid this. The automated system enables code generation, testing, and review to run autonomously in 15-minute cycles. The engineer now only reviews output, saving 5–6 hours daily. The setup takes less than 20 minutes, and the return on time investment is significant—potentially saving $10,000–$12,000 monthly for those valuing their time at $100/hour. The article emphasizes that managing AI systems, not just using them, is the new critical skill, enabling a shift from doing work to overseeing automated processes.

marsbit04/15 04:10

Only Work 2 Hours a Day? This Google Engineer Uses Claude to Automate 80% of His Work

marsbit04/15 04:10

Cursor 3 Released: The IDE Becomes Irrelevant, Agent Console Takes Over, The VS Code Era Begins to Fade

Cursor 3, codenamed Glass, represents a fundamental shift in AI-assisted development by replacing the traditional code editor with an agent management console as the primary interface. While engineers can still write code, the core design philosophy now centers on users spending most of their time directing AI agents, reviewing their outputs, and deciding which tasks to deploy. Key features include multi-repository support, a unified sidebar for all agents (local and cloud), and Cloud Handoff, which allows seamless movement of agent sessions between local and cloud environments. This release is part of Cursor's accelerated response to competitive pressure from tools like Anthropic's Claude Code. The company also recently launched Automations for triggering agents automatically, Composer 2 (its proprietary model claiming superior performance to Claude Opus), and self-hosted cloud agents for enterprise customers. The transition signals a broader industry paradigm shift where agent orchestration becomes the new control plane, similar to how cloud consoles replaced SSH for infrastructure management. This challenges the decades-long dominance of IDEs like VS Code, suggesting that software engineering roles are evolving toward overseeing AI agents rather than directly editing code. The architectural debate now centers on whether this orchestration layer should exist inside the IDE (Cursor, Google), as a separate tool (Anthropic, OpenAI), or be omnipresent.

marsbit04/08 10:16

Cursor 3 Released: The IDE Becomes Irrelevant, Agent Console Takes Over, The VS Code Era Begins to Fade

marsbit04/08 10:16

10 Claude Code Usage Tips: The Sooner You Know, The Sooner You Benefit

Here is an English summary of the article "10 Must-Know Claude Code Tips: The Sooner You Know, The Sooner You Benefit": This article shares essential tips for using Claude Code, an AI coding assistant, to significantly boost productivity. It is divided into three main sections. First, it covers three ways to launch Claude: 1) A simple GUI desktop app for non-programmers, 2) A command-line method with a key tip (`claude -c`) to resume from a specific point in the chat history, avoiding restarting context, and 3) A headless mode (`-p` flag) for automation tasks using a subscription token. Second, it details three crucial in-session techniques: 1) Using `Esc` to gracefully interrupt a response and `Esc+Esc` to revert to a previous checkpoint, 2) Using the `!` syntax (e.g., `!ls`) to run shell commands without leaving the chat, and 3) Managing context with `/clear` to remove history or `/compact` to optimize it when performance slows down. Finally, the article recommends companion software to solve human-AI collaboration bottlenecks: 1) **Superpowers**, a structured workflow methodology for higher-quality code output. 2) Voice input tools like **Typeless** and **Douban Input法** to overcome typing speed limit. 3) Tools like **Cmux** (a terminal for managing multiple AI agent instances) and **Vibe Island** (for seamless context switching between tasks) to solve the problem of lost focus when multitasking. The overall goal is to help users focus more deeply on their programming work by streamlining their interaction with Claude Code.

marsbit04/08 07:05

10 Claude Code Usage Tips: The Sooner You Know, The Sooner You Benefit

marsbit04/08 07:05

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

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

marsbit04/03 09:18

Agentic Workflows for Crypto Research

AI coding agents are transforming crypto research by automating data analysis through natural language. This article demonstrates using an agent (like Claude Code) with the Glassnode CLI to test a hypothesis: whether extreme Bitcoin exchange inflows predict 7-day price drawdowns. The agent autonomously discovers metrics, fetches data, performs statistical analysis, and generates insights. Results show a moderate association—spike days saw ~1.9% greater drawdowns—though the sample is small. A follow-up prompt produces visualizations for validation. The workflow allows rapid iteration and is applicable to various research questions using Glassnode data, requiring only an API key and an AI agent.

insights.glassnode04/01 12:41

Agentic Workflows for Crypto Research

insights.glassnode04/01 12:41

60 Curated Skills, Workflows & Open-Source Projects: The Ultimate Claude Advanced List

This comprehensive guide curates 60 essential AI tools, frameworks, and resources to help developers, creators, and builders move from using AI to constructing robust AI systems. The list is organized into nine key categories: AI Programming Agents & IDEs (e.g., Claude Code, Cursor), Agent Frameworks (e.g., OpenClaw, LangGraph), MCP Services & Tool Integrations (e.g., Tavily, Context7), Claude Skills (e.g., PDF Processing, Frontend Design), Local AI & Model Runners (e.g., Ollama, Open WebUI), Workflow & Automation (e.g., n8n, Langflow), Search, Data & RAG (e.g., GPT Researcher, Chroma), API & Infrastructure (e.g., FastAPI, Portkey Gateway), and Learning Resources (e.g., Awesome Agents, PromptingGuide). The author emphasizes a structured approach, recommending specific starting toolkits based on the user's role—developer, creator, product builder, or learner—to avoid overload and build practical, production-ready workflows.

marsbit03/30 11:10

60 Curated Skills, Workflows & Open-Source Projects: The Ultimate Claude Advanced List

marsbit03/30 11:10

Zuckerberg is Building an AI Agent to Assist Him as CEO

Meta CEO Mark Zuckerberg is developing a personal AI agent to assist him in his executive duties, enabling faster information retrieval and reducing reliance on hierarchical reporting. This initiative is part of Meta’s broader effort to become an "AI-native" company, streamlining operations and increasing efficiency amid growing competition from smaller, agile AI startups. Internally, Meta is encouraging widespread AI adoption, with tools like My Claw and Second Brain—an AI "chief of staff"—gaining traction among employees. The company has also made acquisitions to bolster its AI capabilities. However, this shift has raised concerns about potential layoffs, as Meta reportedly considers significant workforce reductions to align with its new AI-driven structure.

marsbit03/23 09:59

Zuckerberg is Building an AI Agent to Assist Him as CEO

marsbit03/23 09:59

A Person Who Can't Code Single-Handedly Handled All of Anthropic's Growth Marketing for Ten Months

Anthropic, a company valued at $380 billion, had a single non-technical growth marketer, Austin Lau, managing all performance marketing channels—paid search, paid social, app store optimization, email marketing, and SEO—for nearly ten months. Despite having no coding experience, Lau used Claude Code to automate key workflows. He built a Figma plugin to generate hundreds of creative ad variants in seconds instead of 30 minutes, and created a Google Ads automation tool that drafts compliant ad copy and exports it for upload. He also integrated Claude with Meta’s Ads API to analyze campaign performance in real-time and built a memory system to inform future A/B tests. As a result, ad creation time dropped from 2 hours to 15 minutes, and creative output increased tenfold. Anthropic’s internal case study highlights how AI is erasing the barrier between technical and non-technical roles, enabling individuals to achieve output comparable to full teams. The key to scaling efficiency lies in identifying repetitive tasks, breaking them into sub-tasks handled by specialized AI agents, and designing systematic workflows—not in having advanced technical skills.

marsbit03/12 09:45

A Person Who Can't Code Single-Handedly Handled All of Anthropic's Growth Marketing for Ten Months

marsbit03/12 09:45

From Understanding Skill to Learning How to Build Crypto Research Skill

This article explores the evolution and application of Agent Skill, a modular framework introduced by Anthropic in late 2025, which has become a foundational design pattern in the AI Agent ecosystem. Initially a tool to improve Claude's performance on specific tasks, it evolved into an open standard due to high developer adoption. Agent Skill functions like a "dynamic instruction manual" that AI can reference to perform tasks consistently without repetitive user prompting. It is built using a `skill.md` file containing metadata (name and description) and detailed instructions. The system operates through an on-demand loading workflow: the AI first scans lightweight skill metadata, matches the user's intent, then loads only the relevant skill's full instructions, optimizing token usage. Two advanced mechanisms enhance its functionality: - **Reference**: Conditionally loads external documents (e.g., a finance handbook) only when triggered by specific keywords, avoiding unnecessary context consumption. - **Script**: Executes external code (e.g., a Python script) without reading its content, enabling actions like file uploads with zero token cost. The article contrasts Agent Skill with Model Context Protocol (MCP), noting that MCP connects AI to data sources, while Skill defines how to process that data. For advanced use cases like crypto research, combining both is recommended: MCP fetches real-time data (e.g., blockchain info, news APIs), while Skill structures the analysis and output format. A practical example demonstrates building a crypto research agent using an `opennews-mcp` server. The Skill automates workflows like due diligence on new tokens (pulling Twitter data, news sentiment, KOL tracking) and real-time event monitoring (e.g., ZK-proof breakthroughs) to generate structured reports or trading alerts. This combination creates a powerful, automated research system tailored for Web3 analytics.

marsbit03/10 10:41

From Understanding Skill to Learning How to Build Crypto Research Skill

marsbit03/10 10:41

Your AI Anxiety Is Being Harvested

The article critiques the excessive hype and anxiety surrounding AI, arguing that much of the online discourse is a form of fear-based marketing designed to harvest attention and engagement. It points out that blindly copying others' AI setups—like popular coding configurations—is ineffective because these are tailored to specific needs and contexts, not universal solutions. The author warns against over-reliance on AI, noting that it can erode independent thinking and core human skills like judgment, creativity, and time management. Citing data from Fortune, Goldman Sachs, and academic studies, the article reveals that many companies report no actual productivity gains from AI adoption; instead, it often intensifies workloads and leads to burnout. The key takeaway is to use AI strategically for repetitive tasks while preserving human strengths for critical thinking and decision-making. True success lies not in using AI everywhere, but in knowing when not to use it.

marsbit03/10 08:39

Your AI Anxiety Is Being Harvested

marsbit03/10 08:39

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