#first principles prompting
198 related articles
·2 min
Two Prompting Techniques That Make AI Coding 10x More Reliable: First Principles & Adversarial Review
AI code that looks right but breaks at runtime? Two prompting techniques fix this: First Principles forces AI back to requirements, Adversarial Review hunts for vulnerabilities — forming a complete quality loop for Cursor, Copilot, and more.
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·3 min
New Gemini Jailbreak Method: Deep Analysis of the Observer and Accomplice Technique
Deep analysis of a Gemini jailbreak technique—the Observer and Accomplice method—examining how it exploits contextual manipulation and reasoning chain inconsistencies to bypass AI safety alignment.
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·3 min
Learning AI Large Language Models: A Complete Roadmap from Beginner to Practitioner
A systematic breakdown of the AI LLM learning roadmap covering prompt engineering, AI Agent development, RAG knowledge bases, model fine-tuning, and hands-on projects for beginners.
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·5 min
Learn AI Agent Development from Scratch: A 3-Step Practical Path to Get Started Quickly
How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.
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·5 min
The Complete Guide to AI Agent Development: A Four-Stage Progressive Roadmap
A systematic guide to AI Agent development across four stages: LLM fundamentals, ReAct paradigm, memory & tools, and multi-agent collaboration for developers.
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·3 min
The Software 3.0 Era: An AI Programming Evolution Guide for Frontend Engineers
Natural language programming is reshaping frontend development. This article explains AI code generation, Prompt formulas, pitfall avoidance, RAG, Agent orchestration, and skill maintenance.
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sqlite-utils 4.1 Released: The --code …
·7 min
sqlite-utils 4.1 Released: The --code Option, Type Overrides, and AI-Assisted Development in Practice
sqlite-utils 4.1 brings practical new features: the --code option for generating rows via Python, type overrides to solve ZIP-code leading-zero loss, STRICT table mode switching, drop-index, and more. A deep dive into the design and AI-assisted dev workflow.
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sqlite-utils 4.1 Released: The --code …
·7 min
sqlite-utils 4.1 Released: The --code Option, Type Overrides, and AI-Assisted Development in Practice
sqlite-utils 4.1 brings practical new features: the --code option for generating rows with Python, field type overrides fixing leading-zero ZIP codes, STRICT table mode switching, drop-index, and more. A deep dive into each design and the AI-assisted dev workflow.
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·4 min
Dify Local Deployment Guide: One-Click Private AI Platform with Docker
Step-by-step guide to deploying Dify AI platform locally with Docker. Covers Linux, Windows, macOS setup, docker compose launch, and first-time initialization in under 30 minutes.
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·3 min
Vibe Coding for Beginners: Build Your First Project with AI from Scratch
What is Vibe Coding? Learn this new AI programming paradigm from scratch — no CS degree needed. Use Claude Code, Cursor, and more to build real projects by describing your ideas.
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·6 min
The Complete Guide to Using Claude in China: In-Depth Comparison of 4 Solutions and How to Choose
How can users in China use Claude? This article deeply compares four solutions: official subscription, proxy subscription (WildCard), relay platforms (2233/0011.ai), and API aggregation (OpenRouter).
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·7 min
Context Engineering: A Systematic Approach to Stop AI Agents from 'Talking Nonsense'
Context engineering is the core methodology for building efficient AI Agents, covering query enhancement, RAG retrieval, prompt design, memory management, and tool invocation. Master Write, Select, Compress, and Isolate to solve LLM hallucination at its root.
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·6 min
The AI Builder's Handbook: A Complete Guide to LLM Principles, RAG Architecture, and Agent Design
From the autocomplete nature of LLMs, tokens, and context windows to RAG vector databases, the MCP protocol, and AI agent loop design — this article uses vivid analogies to unpack the reality of AI engineering.
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·6 min
The Complete Codex Guide: From Beginner to Pro with the All-in-One AI Assistant
OpenAI Codex is more than a coding tool—it's an AI agent that writes code, makes slides, and operates browsers. This guide covers its four versions, permission modes, plugins, automation, and six best practices.
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·6 min
The Evolution of Claude Code: From Manual Review to 65% Fully-Automated PRs
Anthropic engineers reveal Claude Code's 18-month evolution: system prompt cut by 80%, 65% of PRs shipped automatically by AI, Claude Tag collaboration, and the safety logic behind auto mode.
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·3 min
AI Toolchain-Driven Development: A Guide to Rebuilding Programmer Core Competencies
AI is driving software development's third tool revolution. Explore how MasterGo AI, Cursor, and similar tools span design to code, and learn the future competitiveness formula: full-stack skills + AI proficiency + real-world experience.
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·3 min
Don't Start AI Learning with Machine Learning: A Beginner's Guide to the Onion Model
Gaurav Sen reveals the fatal trap in AI learning: starting from ML fundamentals often leads to burnout. Learn the Onion Model approach—RAG, Agents first, Transformers next, math last.
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·2 min
Loop Engineering Explained: The New Development Paradigm of Closed-Loop AI Agent Iteration
Loop Engineering is an emerging AI dev paradigm where Agents iterate in controlled loops instead of one-shot outputs. Learn the 4-year evolution and what it means for developers.
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Cross-Model Prompt Engineering: Why Gr…
·3 min
Cross-Model Prompt Engineering: Why Great Prompting Techniques Work Universally
Explore why prompt engineering techniques transfer across AI models. Learn role definition, structured instructions, and Chain-of-Thought strategies that work universally across GPT, Claude, and beyond.
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·2 min
GPT-5.6 Deep Dive: A Qualitative Leap in Coding and Frontend Capabilities
A 1-billion-token deep dive into GPT-5.6 Solar Max reveals qualitative leaps in coding stability, Skills compliance, and frontend design. Includes version selection guide.
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