#Transformer architecture
131 related articles
Deep Dive into the Three AI Programmin…
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Deep Dive into the Three AI Programming Frameworks: The Right Way to Do Specification-Driven Development
Deep dive into the three frameworks of Specification-Driven Development (SDD) for AI programming: Blueprint, Execution Flow, and Change Records — solving the problem of AI code going off the rails.
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Anthropic's Official Breakdown: Three Core Components for Building AI Agents
Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.
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Can't Fill Out Prompt Templates Properly? The Four-Module Incremental Method Doubles Your AI Output Quality
Struggling with prompt templates? Learn the four-module incremental method—Role, Skills, Constraints, Response Format—to dramatically improve AI output quality.
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Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
Deep dive into how Cursor trained Composer2: two-stage architecture, global distributed clusters, MOE numerical alignment, simulation anti-cheating, and more.
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Core Principles of Coding Agents: How Perception and Context Engineering Determine AI Coding Effectiveness
Deep dive into why coding Agents differ: perception lets Agents understand projects first, context engineering precisely filters information within limited token budgets.
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The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
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The Real Logic of Getting Rich with AI: Toolbox Thinking and the Three-Layer Capability Model
Mastering AI tools doesn't equal making money. This article breaks down the three-layer AI wealth model: LLM prompting, automation workflows, and agent collaboration, plus the MAPS framework and Three R's Rule.
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Real-World Comparison of Chinese AI Coding Models: Which One Best Generates a Complete E-Commerce System in One Shot?
Real-world test of six Chinese AI coding models — Qwen 3.7 Max, DeepSeek V4 Pro, MiniMax M3 and more — generating a complete e-commerce system, scored on UI, checkout flow, and backend management.
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Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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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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Hooks and Skills: A Guide to Upgrading…
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Hooks and Skills: A Guide to Upgrading AI Programming Workflows from Manual Reminders to Automated Systems
Deep dive into Claude Code's Hooks and Skills mechanisms. Learn to build safe, reliable AI programming workflows with a three-layer architecture (Cloud.md + Hooks + Skills).
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Complete Beginner's Guide to Cursor AI…
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Complete Beginner's Guide to Cursor AI: Three Modes Explained with Hands-On Demo
Learn Cursor AI editor setup, Agent/Ask/Manual modes, model selection tips, and build a full student management system from scratch in this step-by-step guide.
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AI Era Survival Guide for Programmers:…
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AI Era Survival Guide for Programmers: The Transformation from Code Producer to AI Orchestrator
In-depth analysis of AI programming's impact on traditional developers, covering Vibe Coding trends, the emerging FDE role, and how programmers can transform through business acumen and architectural thinking.
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The Five-Tier Pyramid of IT Careers in…
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The Five-Tier Pyramid of IT Careers in the AI Era: Your Position Determines Your Career Ceiling
AI is reshaping IT careers into a five-tier pyramid from tool usage to self-developed models. Learn where you fit and how to maximize your career potential.
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Reasonix: A Coding Agent Optimized for…
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Reasonix: A Coding Agent Optimized for DeepSeek with 99% Cache Hit Rate
Deep dive into Reasonix coding agent: how it achieves 99% DeepSeek cache hit rate, cutting API costs to 1%. Covers setup, four conversation modes, MCP support, and more.
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Claude Code Can't Remember Your Progre…
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Claude Code Can't Remember Your Progress? Build a Progress Skill to Fix It
Learn how to build a progress Skill for Claude Code using skill.md files to save and restore development progress across sessions, solving the context loss problem.
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AI Large Language Model Learning Roadm…
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AI Large Language Model Learning Roadmap: A Complete Guide from Zero to Project Implementation
A systematic AI LLM learning roadmap covering prompt engineering, RAG, AI Agent development, and fine-tuning — with beginner-friendly paths and practical tips.
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AI Agent Development Learning Roadmap:…
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AI Agent Development Learning Roadmap: A Complete Four-Stage Plan from Zero to Production
A systematic AI Agent development learning roadmap covering LLM API calls, ReAct framework, memory mechanisms, and multi-agent collaboration across four stages with timeline and project suggestions.
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Self-Study Guide to AI Agent Developme…
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Self-Study Guide to AI Agent Development: A Complete Path from Zero to Production
A practical self-study roadmap for AI Agent development: covering core skills, common pitfalls, phased learning plans, and interview prep to help developers go from concept collectors to builders.
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LangChain from Beginner to Agent Devel…
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LangChain from Beginner to Agent Development: A Complete Learning Path for LLM Application Development
A systematic guide to LangChain LLM application development, covering environment setup, core components (RAG, Chain, Memory), and Agent development to help developers master LLM app building.
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