#AI tools
390 related articles
·2 min
v0 Snowflake Integration Enters Public Preview: Generate Data Dashboards with Natural Language
Vercel's v0 announces public preview of Snowflake integration, enabling users to connect data sources and auto-generate professional dashboards using natural language prompts.
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·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
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·4 min
Vibe Coding Beginner's Guide: Tool Selection Across Three Categories with Practical Examples
A comprehensive guide to Vibe Coding's three tool categories: Agent frameworks, CLI Coding, and IDE tools, with practical examples including Snake game and data analysis workbench.
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·3 min
Readdy AI Hands-On Review: How Well Does Style Cloning Work for Website Building?
Hands-on review of Readdy AI's three website building modes, focusing on style cloning, editing capabilities, smart assistant, and pricing strategy.
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·2 min
How to Connect Codex to DeepSeek Models: Free Switching via CC Switch
Learn how to connect OpenAI Codex to DeepSeek models via CC Switch, enabling free switching between DeepSeek and GPT with complete setup and routing guide.
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·2 min
AI Coding Dependency: As Tools Get Stronger, Are Developers Getting Weaker?
Exploring the capability anxiety behind AI coding tool dependency. Analyzing the paradox of short-term efficiency vs. long-term skills, with strategies for developers to stay competitive in the AI era.
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·4 min
Deconstructing the Serenity Methodology: An Investment Research Framework from Market Leaders to Physical Bottlenecks
Deep breakdown of anonymous trader Serenity's methodology: drilling from market leaders along supply chains, using four hard conditions to identify physical chokepoints, and building a repeatable pipeline with Claude Code.
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·2 min
NotebookLM Anniversary Data Revealed: The Source-Driven AI Revolution Behind 1.5 Billion Notebooks
Google NotebookLM celebrates its anniversary with 1.5 billion notebooks, audio overviews, and slides created. A deep dive into its source-driven AI design, core features, and future direction.
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·2 min
Claude Mythos 5 Allegedly Spotted, Inside OpenAI's Equity Negotiations with the U.S. Government
Claude Mythos 5 briefly spotted in Anthropic's API sparking launch speculation; OpenAI negotiates equity transfer and public wealth fund with U.S. government for over a year; Hermes Agent V0.16.0 ships native desktop app with Chinese language support.
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·2 min
v0 Integrates with Shopify: AI Conversations Generate Production-Grade E-Commerce Websites
Vercel's AI tool v0 announces deep Shopify integration, enabling users to generate production-ready e-commerce storefronts via natural language prompts.
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·1 min
NotebookLM Mobile Adds Report Generation: Briefing Docs, Study Guides, and Blog Posts
Google NotebookLM mobile update adds three report generation features: Briefing Docs, Study Guides, and Blog Posts, letting users create professional documents from notes on the go.
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·1 min
Cursor System Outage: Paid Users Hit by Quota Restrictions, Official Fix Underway
AI coding tool Cursor confirms a system outage affecting paid user quotas and limits. Learn about the impact, workarounds, and alternative tools for developers.
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·2 min
Gamified Learning with NotebookLM: Activate Your Notes Using the Sherlock Holmes Deduction Method
Google NotebookLM launches a Sherlock Holmes notebook template, turning passive note review into interactive deduction games. Learn how the Deduce-Uncover-Prove method enables gamified learning.
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·4 min
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
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·4 min
The Real Logic of Getting Rich with AI: Toolbox Thinking and the Three-Layer Capability Model
Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.
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·4 min
Claude Code Practical Guide: Deep Dive into 7 Core Modules with Learning Path
Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.
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·2 min
Claude Code Installation & Deployment Guide: From Environment Setup to Successful Launch
Complete guide to installing and deploying Claude Code, covering Node.js setup, NVM version management, network proxy configuration, and API provider switching.
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·3 min
Claude Code + Codex Cross-Validation: Dramatically Reducing AI Coding Bug Rates
Learn how to combine Claude Code and Codex in a cross-validation workflow — a develop-review-fix loop that dramatically reduces AI coding bug rates.
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·3 min
Monetizing Claude Code: 4 Proven Revenue Paths Broken Down
Deep breakdown of 4 monetization paths for Claude Code: AI-accelerated freelancing, shipping tools at scale, selling methodology, and content creation. Each path is validated with real examples.
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·3 min
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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