#Harness
77 related articles
·1 min
Pi Agent: When Every AI Coding Framework Is Adding More, It Chose to Subtract
Deep dive into Pi Agent's minimalist design: no sub-agents, no MCP, no background tasks—yet its self-extending Harness makes it ideal for building AI coding products.
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·3 min
Claude Code Enterprise E-commerce in Practice: A Methodology for Taking AI Programming from Demo to Industrial-Grade
A deep dive into engineering methodology for enterprise e-commerce development with Claude Code and Harness AI, covering architecture, code quality, and CI/CD practices.
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·2 min
Anthropic Team in Practice: Claude Code Experience with 16 Parallel Agents Developing a Compiler
Deep analysis of Anthropic's real-world Claude Code practices: 16 parallel Agents building a C compiler, three-role architecture for full-stack apps, smart approvals solving 93% blind approval issues, and six official best practices.
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·3 min
Cursor vs Codex In-Depth Comparison: Where Should You Spend Your $200?
In-depth comparison of Cursor and Codex AI programming tools — their strengths, ideal use cases, and cost differences. Find out where your $200 is best spent.
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·2 min
Claude Code Dynamic Workflows: A Complete Guide to Six Patterns and Ten Scenarios
Deep dive into Claude Code's dynamic workflow mechanism covering Agent, Parallel, and Pipeline functions, six orchestration patterns, and ten real-world scenarios with cost control tips.
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·4 min
Core Methodology of Prompt Engineering: A Systematic Deep Dive from Principles to Practice
A deep dive into prompt engineering principles and core methodology. Master three keys to high-quality prompts: specific, rich, and unambiguous. Learn tuning techniques and advanced programming integration.
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·3 min
Deep Dive into How Claude Code Works: Prompt Assembly, Permission Control, and the Skills Mechanism
Deep dive into Claude Code internals: stateless model principles, four-layer prompt assembly, Agentic Loop execution, permission control, and reusable Skills workflow templates for agentic engineering.
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·1 min
AI Coding Tool Selection Guide: In-Depth Comparison of Cursor, Copilot, and Trae
In-depth comparison of Cursor, GitHub Copilot, Windsurf, Trae, and other leading AI coding tools — covering features, pricing, and use cases to help developers pick the right AI assistant.
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·4 min
Full-Stack Development in a Todo App: 35 Core Technologies Every Programmer Should Know
Using a todo app's full development lifecycle as a guide, this article covers 35 core full-stack technologies from frontend to backend, databases, DevOps, cloud deployment, and scaling architecture.
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·2 min
Will AI Coding Replace Programmers? A Deep Dive into Manufacturing vs. Internet Industry Differences
Will AI coding tools like Claude Code and Codex replace programmers? This analysis compares replacement risks across internet and manufacturing industries with practical career advice.
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·3 min
Claude Code Creator Reveals: Programming Has Been Solved, the Era of Universal Coding Is Here
Claude Code creator Boris Charney shares how AI programming has been solved: from 150 daily PRs to agent loops running 24/7, and why coding will become as universal as literacy.
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·3 min
A Practical Guide for Agent Engineers: The Three-Phase Core Methodology for AI Programming
Master the three-phase methodology for Agent engineers: Ideation, Iteration, and Evolution. Build reliable AI programming systems without over-engineering.
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·3 min
Codex Beginner's Guide: Lessons Learned from 660 Million Tokens of Real-World Usage
Deep dive into OpenAI Codex Agent's core features, Skill ecosystem, context compression, and project-level Harness management tips from 660M tokens of real-world usage.
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·1 min
Runway's 4th AI Film Festival Reveals Top 10 Finalists: Dual Screenings in NYC and LA
Runway announces its 4th AI Film Festival top 10 finalists with NYC and LA screenings in June. A look at standout works, AI video tech evolution, and creator ecosystem impact.
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·3 min
The New Builder Mindset in the AI Era: How the Developer Role Is Evolving
OpenAI declares 'developers have evolved.' Explore the new builder mindset: the shift from code writers to product builders, lower barriers, and the rise of full-stack individuals in the AI era.
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Tutorials·2 min
MCP Protocol in Practice: Building an AI Investment Analysis Agent with TradingView + Notion
A detailed guide on MCP protocol vs Skills, integrating TradingView and Notion MCPs to build an automated investment analysis Agent with market scanning, backtesting, and report generation.
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Tutorials·2 min
A Single .md File Reduced AI Coding Errors from 41% to 3%
A viral GitHub project uses just 65 lines in a .md rules file with 12 coding principles to reduce AI programming errors from 41% to 3%. Learn the four golden rules and 8 advanced techniques.
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Tutorials·2 min
Claude Code in Practice: Engineering Guide for AI-Powered API Test Automation
A deep dive into engineering Claude Code for API test automation, covering environment setup, Skill development, tool encapsulation, and Harness Engineering methodology.
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Deep Dives·2 min
The "Worse is Better" Philosophy of Large Model Design: Why Simple and Brutal Beats Refined and Complex
Analyzing the "worse is better" philosophy in large model architecture: why DeepSeek V4 dropped N-gram, why Transformer dominates AI, and three iron laws of simple, efficient model design.
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Industry Insights·2 min
AI Writes Code 2x Faster, But Maintenance Costs Triple: A Guide to Breaking the Efficiency Paradox
AI coding tools double development speed but triple maintenance costs. This article analyzes quality issues, technical debt accumulation, and provides actionable strategies to balance efficiency with maintainability.
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