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69 related articles
·3 min
AI Coding Efficiency: A Complete Methodology for Writing Effective Skill Specifications
A deep dive into writing Skill specifications for AI-assisted coding, covering template design, script selection for complex orchestration, and six standardized elements to constrain Agent behavior.
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·3 min
Five Common Claude Code Mistakes — How Many Are You Making?
Five common Claude Code mistakes developers make: copy-pasting code, skipping CLAUDE.md, inefficient prompting, ignoring docs, and poor context management — with fixes.
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·3 min
AI Can't Kill Old-School Programming: Why Fundamentals Are Still a Developer's Moat
Vibe Coding is trending, but can it replace solid fundamentals? A deep analysis of why core principles, systems thinking, and knowledge frameworks remain a developer's moat in the AI era.
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·2 min
ZeroStack: An In-Depth Look at the Rust-Based Minimalist Coding Agent That Uses Only 16MB of RAM
In-depth review of ZeroStack, a Rust-based coding agent using only 16MB RAM. Analyzing its file I/O, multi-model support, permission controls, and ideal use cases.
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·3 min
Claude Sonnet 4 Invents Its Own Browser Automation: The Wild Debugging Journey of a CSS Bug
Simon Willison shares how Claude Sonnet 4 (Fable) autonomously invented PyObjC screenshots, built a CORS server, and penetrated Shadow DOM to debug a CSS bug — revealing both tool-making power and security risks.
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·1 min
Apple AI's Dim Prospects in China: Chinese Users Risk Becoming an AI Island
On the eve of WWDC 2025, Apple Intelligence's entry into China looks increasingly unlikely. With fewer Chinese media invited and compliance hurdles mounting, Chinese Apple users face isolation from the AI wave.
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·1 min
What Apple Bringing Visual Intelligence to visionOS Really Means
Apple is porting Visual Intelligence from iPhone to visionOS, enabling Vision Pro users to identify objects, translate text, and compare prices just by looking. This move may pave the way for lighter AR glasses and marks a key strategic push in AI + spatial computing.
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·5 min
CherryStudio + MCP: Tutorial for Building Automated AI Agents and Local Knowledge Bases
Complete guide to building automated AI agents with Cherry Studio and MCP protocol, covering environment setup, MCP Server configuration, web scraping, Shell execution, and Ollama local knowledge base deployment.
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·3 min
Trae Agent Deep Dive: Hands-On Review of ByteDance's Open-Source AI Coding CLI Tool
Deep dive into ByteDance's open-source Trae Agent—a free MIT-licensed AI coding CLI tool. Covers installation, core features, run modes, and real-world performance vs Claude Code and Gemini CLI.
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·1 min
Runway Adds Tool Calling to Real-Time Video Characters, Moving from Conversation to Intelligent Execution
Runway upgrades real-time video Characters with tool calling, enabling AI video agents to execute queries, tasks, and operations—marking a shift from content generation to intelligent agent platform.
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·2 min
datasette-fixtures: Create a Datasette Test Database with a Single Command
The datasette-fixtures plugin lets Datasette plugin developers quickly create a standard test database with a single uvx command, greatly simplifying plugin testing.
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·3 min
Deep Conversation with Gemini's Four Co-Leads: Technical Roadmap, Current State, and Future Direction
Google Gemini's four co-leads — Jeff Dean, Noam Shazeer, and others — discuss Gemini's technical roadmap, multimodal capabilities, Agent direction, and future strategy in a rare joint conversation.
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Tutorials·1 min
Hermes Agent Local Deployment Tutorial: Installing and Configuring a Self-Evolving AI Assistant
Complete guide to deploying Hermes Agent locally, covering WSL2 installation, Git setup, and DeepSeek model integration on Windows to build a self-learning open-source AI Agent.
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Tutorials·2 min
Hermes Agent Local Deployment Tutorial: Installing and Configuring a Self-Evolving AI Assistant
Complete guide to deploying Hermes Agent locally on Windows, covering WSL2 setup, Git configuration, and DeepSeek model integration for a self-learning AI Agent.
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Industry Insights·3 min
Gemini Membership Gray Market Scams Exposed: The Real Risks Behind 'Free Access' Tutorials
Exposing Gemini membership gray market scams that exploit Google I/O hype, analyzing account security and legal risks, and providing legitimate ways to access Gemini premium services.
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Tutorials·2 min
The Five-Step Rhythm Method for AI Programming: A Practical Strategy Where Slow Is Fast
A methodology for rhythm control in AI programming: use a five-step strategy (identify, plan, minimal change, test, risk assessment) to prevent AI from going off-track and causing rework.
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Product Reviews·3 min
6 Developer Tools Roundup: AI Coding Cost Tracking, Agent Virtual File Systems, and More
Roundup of 6 developer tools: CodeBurn for AI coding token cost tracking, Mirage virtual file system for Agents, Boring SSH tunnel manager, PeerTrace file tree renderer, DataTab font-based data visualization, and Flu TypeScript Agent framework.
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Deep Dives·4 min
Is Context Engineering the Core of Agent Development? A Deep Dive into Architecture and Practical Solutions
Deep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
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Product Reviews·3 min
WhichLLM: One Command to Find the Best Local LLM for Your Hardware
WhichLLM is an open-source tool that auto-detects your hardware and recommends the best local LLM using real benchmark data. Simulate GPUs, filter fake benchmarks, and start chatting in one command.
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Product Reviews·2 min
GPT-5.5 After 3 Weeks of Real-World Testing: Does It Really Crush Opus 4.7 at Coding?
EVERY team tested GPT-5.5 for 3 weeks using SABench. GPT-5.5 scored 62.5 vs Opus 4.7's 33 in coding execution, but the best workflow combines Opus for planning with GPT-5.5 for execution.
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