#Harness
440 related articles
Tutorials·3 min
Open Design in Practice: A Complete Guide to the Open-Source AI Design Tool That Replaces Claude Design
Complete guide to Open Design: an open-source AI design tool replacing Claude Design. Covers installation, prototype creation, HTML-to-Next.js migration, and Harness component encapsulation.
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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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Product Reviews·3 min
Tencent WorkBuddy Hands-On Review: Mass-Producing Healing Pet Videos with AI Expert Teams — Full Workflow
Hands-on review of Tencent WorkBuddy's AI Expert Team collaboration mode for batch-producing healing pet videos. Full workflow from viral analysis to automated generation, with honest assessment.
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Deep Dives
How Maxwell's Equations Derive the Spe…
·2 min
How Maxwell's Equations Derive the Speed of Light: Physics' Most Stunning Unification
How Maxwell's equations mathematically derive the speed of light, revealing that light is an electromagnetic wave. Fermilab physicist Don Lincoln explains how basic research transforms civilization.
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Product Reviews·3 min
Hermes Agent Deep Dive: Installation & Practical Guide to the Self-Learning AI Framework
Deep dive into Hermes Agent's core mechanisms: learning loops, three-layer memory system, and self-evolving Skills. Includes comparison with Claude Code and OpenCode, plus a complete installation guide.
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Expert Opinions·2 min
One Month After GPT5.5 Launch: People Who Use AI Are Quietly Getting Raises
One month after GPT5.5's launch, AI users are quietly getting raises while non-users remain anxious. Real usage insights, practical strategies, and why AI is your super assistant, not your competitor.
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Tutorials·2 min
Claude Code /goal Command Explained: Dual-Agent Architecture for Fully Autonomous AI Task Completion
Deep dive into Claude Code's /goal command: dual-agent architecture, auto-approve setup, finish line writing tips, and cost control strategies for fully autonomous AI task completion.
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Product Reviews·3 min
Claude Code Firmware-Level Ops in Practice: Virtual Disk Expansion & Local Agent Deployment
Hands-on testing of Claude Code for firmware-level ops: Ventoy virtual disk expansion, ext4-to-btrfs conversion, and a cost-effective local Agent deployment architecture with distributed design.
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Industry Insights·2 min
Cloud AI Agent Architecture Design: Far More Than Moving Local Agents to a Server
Building cloud AI Agents requires entirely new architectural thinking. This article analyzes three core infrastructure components—durable execution platforms, execution frameworks, and dev environment tools—to help teams avoid common pitfalls when migrating from local to cloud.
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Tutorials·3 min
Building WeChat Mini Programs with AI from Scratch: A Complete Vibe Coding Walkthrough
A detailed guide on how Vibe Coding enables zero-background users to build WeChat Mini Programs, covering UI design, frontend code generation, and backend SDK integration with a complete workflow.
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Research·4 min
Deep Dive into Claude Code's Open-Source Architecture: The Design Philosophy Behind 510,000 Lines of Code
Deep analysis of Claude Code's open-source architecture: dual-loop design, 7-step tool pipeline, 4-layer token compression, memory systems, and multi-agent collaboration patterns.
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Industry Insights·4 min
Deep Dive into Claude Code's Open-Source Architecture: Six Core Design Principles and Engineering Practices Revealed
Deep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Enterprise Claude Code Workflows: Five Core Components for Taming Million-Line Codebases
Deep dive into Anthropic's enterprise Claude Code deployment: CLAUDE.md layering, Hooks, Skills, Plugins, and MCP servers for million-line codebases.
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Industry Insights·3 min
Deep Dive into LangChain's Full-Lifecycle Toolchain for Agent Development
LangChain unveils a full-lifecycle toolchain for Agent development at Interrupt, covering Deep Agents 0.6, SmithDB, Context Hub, LLM Gateway, and LangSmith Engine.
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Industry Insights·4 min
Google I/O 2026 Deep Dive: From Super Apps to the Battle for Ecosystem Dominance
Deep analysis of Google I/O 2026: Gemini 3.5 Flash, Omni video tools, Spark personal Agent, and how Google, OpenAI, and Anthropic are competing for AI ecosystem dominance.
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Tutorials·3 min
Context Engineering in Practice with CodeBuddy IDE: Two Rule Files to Generate Apps with a Single Sentence
Learn how to apply Context Engineering in CodeBuddy IDE using two custom rule files — a Requirements-to-TODO-LIST engine and a Project Execution engine — to generate complete apps with a single sentence.
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Research·2 min
Agent Loops in Practice: Transforming Token Output into Productivity from CUDA Kernels to Automated Research
Deep dive into how the Humanize framework transforms LLM tokens into engineering productivity via Agent Loops. Covers KDA winning CUDA kernel contests, virtual hardware optimization, and 50% research cost reduction.
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Tutorials·3 min
Claude Code Source Code Study Guide: Efficiently Mastering Core AI Agent Development Architecture
Learn AI Agent development from Claude Code's 510K lines of source code, covering Agent Loop, context compression, multi-Agent orchestration, and two efficient study methods.
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Research·2 min
AI Gaming Showdown: O3 Pro Demonstrates Stunning Planning Capabilities
Researchers tested major AI models with Tetris, Super Mario, and Sokoban. O3 Pro showed unprecedented planning ability, becoming the only model to clear all levels. Game testing reveals AI's evolution from pattern matching to strategic thinking.
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