#Prompt工程
17 related articles
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
The Core Technique of Vibe Coding: Give Your Judgment Criteria to AI
Most people using AI for coding state actions without judgment, causing outputs to miss the mark. Learn the core Vibe Coding method: provide AI with six judgment dimensions for precise collaboration.
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Deep Dives·2 min
A Deep Dive into Karpathy's AI Coding Rules: Why a 65-Line Markdown File Earned 16k Stars
Deep dive into Karpathy's four AI coding rules: Think First, Keep It Simple, Surgical Changes, Goal-Driven. A 65-line Markdown file earned 16k GitHub Stars by solving AI coding's biggest pain points.
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Deep Dives·2 min
Agents Need Control Flow, Not More Prompts
Why do longer Prompts make AI Agents less stable? This article explains the control flow first architecture, replacing natural language control flow with code orchestration to boost multi-step reliability from 40% to over 90%.
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Tutorials·2 min
Building a GitHub Repo Stats Tool with a Single Prompt: An AI-Assisted Development Case Study
Simon Willison built a GitHub Repo Stats tool with a single prompt, solving the pain of not seeing commit counts on mobile. A breakdown of the implementation and prompt engineering lessons.
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Tutorials·1 min
AI Coding Burning Through Tokens Too Fast? 5 Practical Strategies to Cut Costs by 80%
Learn why AI coding tools consume tokens so fast and discover 5 practical strategies to cut costs by 80%, including context management and output control.
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Tutorials·2 min
2026 AI Large Language Model Development Learning Roadmap: From Zero to Enterprise-Level Implementation
Complete 2026 AI LLM development learning path covering Prompt Engineering, RAG, Agent development, and fine-tuning, with a phased plan from zero to enterprise-level implementation.
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Product Reviews·2 min
Complete Guide to the Claude Code Red Book: ByteDance's AI Programming Playbook
Deep dive into ByteDance's Claude Code Red Book covering environment setup, Prompt Engineering, multi-turn dialogue strategies, debugging, and refactoring techniques to maximize AI coding efficiency.
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Expert Opinions·1 min
Vibe Coding for Products: Breaking Down the 1000x Difficulty Gap from Demo to Production
Deep dive into real Vibe Coding product experience: tech selection, automation pipelines, prompt engineering, and error handling—revealing the 1000x difficulty gap from cool demo to stable product.
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Tutorials·1 min
Using AI to Crack Infinite Debugger Anti-Debugging in One Click: A Hook Script Hands-On Tutorial
Learn how to use Prompt Engineering to have AI auto-generate Hook scripts that bypass infinite debugger anti-debugging, covering Function constructor rewriting and timer interception.
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Deep Dives·1 min
Ralph Loop: The New AI Programming Paradigm That Beats Multi-Agent Systems Through Iterative Trial and Error
Ralph Loop is a 2025 AI programming paradigm: a memoryless AI Agent repeatedly reads the same Prompt, accumulates experience via file systems, beating multi-agent architectures through iterative loops.
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Tutorials·3 min
AI Agent Model Tiered Routing Strategy: Token Cost, Hallucination Mitigation, and Practical Model Selection
Deep dive into tiered model routing strategies for AI Agent development, covering Token economics, context window degradation, Temperature uncertainty, and hallucination mitigation with practical Sonnet/Haiku/O-Pro selection.
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Tutorials·4 min
Avoiding Pitfalls in Agent Skill Maintenance: A Practical Guide to Defending Against Perplexity's "Action at a Distance" and Building Evaluation Systems
Deep dive into Perplexity's "Action at a Distance" risk in Agent Skill maintenance, covering precise fixes for three failure types, the Gotcha flywheel, and a four-layer evaluation system.
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Deep Dives·3 min
How the Single Responsibility Principle Is Revolutionizing Prompt Engineering: A Modular AI Narrative Architecture Explained
Explore how the Singulari-Tea Codex open-source project applies the Single Responsibility Principle (SRP) to Prompt architecture design, building a modular AI narrative system optimized for Gemini 2.5 Pro.
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Tutorials·3 min
8 AI Testing Skill Building Guides: Turn AI Into Your Dedicated QA Assistant
A detailed guide to 8 essential AI Skills for testers, covering requirements-to-cases, API script generation, bug reports, log analysis, and more — helping QA teams harness AI with engineering discipline.
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Deep Dives·4 min
Agent, MCP, and Function Calling: A Complete Guide to Their Differences and Relationships
A deep dive into the relationships between AI Agent, MCP protocol, Function Calling, and Prompt. From basics to full architecture, build a clear cognitive framework for AI app development.
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Research·2 min
Prompt Tuning Delivers 3-10% Efficiency Gains: The Hidden Dividend of Scaling Coding Agents
Prompt engineering optimizations for coding Agents reduce tool calls, lower output tokens, and improve completion speed by 3-10%—delivering significant cost savings and latency reduction at scale.
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