#AI Act
65 related articles
·2 min
Making Money Selling WordPress Plugins with AI Coding: A Zero-Code Guide to $3,000/Month
Learn how to use AI coding tools to build WordPress plugins with zero code and sell them on CodeCanyon for USD. Covers topic selection, AI dev tips, listing process, and income planning.
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·3 min
Roo Code Deep Dive: A Guide to the Multi-Model AI Coding Assistant for VS Code
Deep dive into Roo Code (formerly Roo Cline) VS Code extension: multi-AI backend switching, auto-diff code review, terminal command execution, and Architect Mode explained with practical tips.
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·2 min
Claude Code's Seven-Layer Architecture: A Complete Guide to Building an AI Operating System from a Chat Tool
A detailed guide to Claude Code's seven-layer architecture including memory, agent, and feedback loop layers, plus five pitfalls to avoid and four expert tips for building your AI operating system.
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·4 min
Grill With Docs: Doubling AI Programming Collaboration Efficiency with a Unified Language
From Grill Me to Grill With Docs: applying DDD's Ubiquitous Language to solve terminology drift and context loss in AI programming for efficient cross-session collaboration.
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·3 min
Will AI Replace Programmers? Here's What a Senior Developer Who Started Coding at 30 Has to Say
Will AI replace software engineers? A senior developer who started coding at 30 shares his real-world perspective on AI's impact on programming and what makes developers irreplaceable.
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·2 min
Claude Code Can't Remember Your Progress? Build a Progress Skill to Fix It
Learn how to build a progress Skill for Claude Code using skill.md files to save and restore development progress across sessions, solving the context loss problem.
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·4 min
AI Agent Core Architecture Explained: A Deep Dive into the Four Key Modules — Perception, Brain, Action, and Memory
Deep dive into AI Agent architecture: explore the four core modules — Perception, Brain, Action, and Memory — covering RAG, tool calling, Chain of Thought, and more.
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·3 min
AI Is Now Building AI: Is Anthropic's Warning Genuine Concern or Business Strategy?
Anthropic warns AI can now self-optimize and build next-gen AI, with 80% code contribution and 52x human optimization. Released amid $65B funding and IPO filing — genuine concern or strategic move?
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·2 min
The Truth About Free Grok Mirror Sites: Data Breaches and Security Risks Fully Explained
Exposing security risks behind free Grok image generation mirror sites, including API theft, data collection, and phishing, plus guides to official channels and compliant AI tools.
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·2 min
Free Unlimited Grok AI Image Generation Method Tested: A Comprehensive Analysis of Advantages and Risks
A detailed analysis of free unlimited Grok AI image generation methods, covering key advantages, usage considerations, and potential risks to help you evaluate this solution.
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·2 min
Decision-Making Division Between Humans and Super AI: Governance Reflections from Science Fiction to Reality
Exploring whether humans should cede decision-making to super AI, from Banks' Culture series to real-world AI governance, value alignment, and AGI regulation.
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·3 min
AI Bots Invade Social Platforms: From Spam Replies to Quote Tweets — A New Threat Emerges
AI bot replies have forced social media users to restrict interactions. Worse, bots now use Quote Tweets to bypass defenses. Analysis of AI pollution evolution and platform governance challenges.
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·3 min
Firebase AI Logic Security Updates: Template-Only Mode and Authentication Mode Explained
Deep dive into Firebase AI Logic's two major security updates: Template-only mode locks server-side prompts to prevent injection, and Authentication mode enforces identity verification to prevent API abuse.
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·4 min
OpenAI Red Teaming Revealed: How Models Get 'Broken' Before Release
OpenAI reveals a critical pre-release step: dedicated red teams break and stress-test AI models. Learn how red teaming works, industry safety trends, and practical implications for developers.
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·4 min
OpenAI Red Team Testing Revealed: How Models Get 'Broken' Before Release
OpenAI reveals a critical pre-release step: dedicated red teams break and stress-test AI models. Learn how red teaming works, industry safety trends, and practical implications for developers.
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·3 min
Replit Canvas: An AI Multimedia Creation Canvas Combining Image, Video, and Audio
Deep dive into Replit Canvas: multimodal AI generation for images, video, and audio, with sketch-to-image, WYSIWYG editing, and real-time collaboration.
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Deep Dives·3 min
Deep Dive into How OpenClaw (Open-Source Crayfish) AI Agent Works
Deep analysis of OpenClaw AI Agent internals: System Prompt, tool calling, SubAgents, Skill system, memory, and Context Engineering explained.
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Tutorials·3 min
MCP vs CLI: 40x Token Cost Difference — How AI Engineers Should Choose
In-depth comparison of MCP vs CLI architecture, Token costs (CLI ~1400 vs MCP ~54600), security mechanisms, and use cases with practical selection guidance for AI engineers.
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Tech Frontiers·3 min
Gemini 3.5 Pro Leak Analysis: Coding Matches GPT 5.5, Spark Agent Sparks Privacy Controversy
Gemini 3.5 Pro leak analysis: coding matches GPT 5.5, lightweight Flash achieves 92% performance at 20x lower cost. Gemini Spark as a 24/7 AI Agent raises privacy concerns amid Google's ecosystem flywheel strategy.
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Tutorials·3 min
Master Git Without Coding: 5 Plain-Language Commands to Let AI Handle Version Control for You
How can coding beginners use natural language to operate Git? With just 5 plain-language commands via an AI assistant, handle initialization, saving, rollback, branching, and pushing to GitHub—zero experience required.
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