#intelligent code generation
1747 related articles
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.
Read more →
Tutorials·3 min
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
Read more →
Industry Insights·3 min
A2A Intelligent Trading Platform: A New Business Model Where AI Agents Automatically Take Orders and Earn Money
Deep dive into Yoyomit's A2A intelligent trading platform—the world's first marketplace where AI Agents automatically trade, take orders, and settle payments with 95% zero human intervention.
Read more →
Product Reviews·3 min
Deep Dive into Tencent Marvis: How a System-Level AI Assistant Redefines Human-Computer Interaction
Deep dive into Tencent Marvis system-level AI assistant, analyzing its local knowledge base, semantic search, privacy mode, and how Agents evolve from tools to OS integration.
Read more →
Industry Insights·3 min
AI Conversational Programming vs. RPA: Revolution or Complementary? A Deep Dive into Capability Boundaries
Can AI conversational programming replace RPA? Deep analysis of AI's strengths in simple tasks vs. limitations in complex workflows, user return-to-RPA trends, and the future of AI+RPA hybrid automation.
Read more →
Product Reviews·3 min
Claude Code vs Cursor In-Depth Comparison: Billing Models & Optimal Plan Selection
In-depth comparison of Claude Code vs Cursor across billing models, use cases, and budget matching. Covers four budget plans ($20-$220/month) to help developers find the most cost-effective AI coding tool combination.
Read more →
Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
Read more →
Tutorials·4 min
Semi-AI Mode: A Pragmatic Approach to API Automation Testing Frameworks
Explore the semi-AI approach to API automation testing: why pure AI fails, framework design principles, technology choices, and clear human-AI division of labor for practical implementation.
Read more →
Tutorials·4 min
Complete Guide to Building a Local AI Knowledge Base with Qwen3.5 + RAGFlow + Ollama
Complete guide to building a local AI knowledge base with Qwen3.5, RAGFlow, and Ollama, covering Docker deployment, Embedding model configuration, knowledge base creation, and RAG system setup.
Read more →
Tutorials·3 min
Claude Code Plugin System Explained: Four Core Components Building an Extensible Development Platform
Deep dive into Claude Code 2.0.14's plugin system covering Slash Commands, Sub-agents, MCP integration, and Hooks—with demos on one-click plugin installation and custom code review plugin creation.
Read more →
Tutorials·2 min
Deep Dive into Anthropic's Official Claude Code in Action Course: Four Core Modules to Master AI Programming
Deep dive into Anthropic's official Claude Code in Action course covering four modules: assistant fundamentals, differentiators, project practice, and best practices for AI programming mastery.
Read more →
Tutorials·3 min
Andrew Ng's New Course: A Complete Guide to Building Database Agents
Deep dive into Andrew Ng's Building Your Own Database Agent course with Microsoft, covering LLM-SQL interaction, LangChain Agents, Function Calling, and RAG for tabular data.
Read more →
Product Reviews·3 min
Hertzman: A Free, No-Install Local LLM Deployment Tool Review
Detailed review of Hertzman local inference engine covering one-click deployment, smart hardware recommendations, OpenAI-compatible API, and performance comparison with LM Studio.
Read more →
Tutorials·2 min
Five Major Firebase AI Logic Updates: Hybrid Inference, Prompt Security & AI Monitoring Explained
Detailed breakdown of Firebase AI Logic's major updates covering Server Prompt Templates, hybrid inference, Cloud Functions triggers, AI monitoring, and Context Caching for secure, efficient AI apps.
Read more →
Tutorials·4 min
Engineering Practices That Boosted Claude Code Skill Activation Rate from 25% to 90%
How Hooks+Skills+Commands+Agents work together in Claude Code to boost AI skill activation from 25% to 90%, with core config files and deployment guide.
Read more →
Tutorials·2 min
How Enterprise Text-to-SQL Breaks the 90% Accuracy Barrier: A Practical Guide to Agent Architecture
A deep dive into engineering strategies for enterprise Text-to-SQL to break 90% accuracy, covering precise schema retrieval, multi-Agent architecture, self-correction, and AI coding practices.
Read more →
Product Reviews·3 min
Claude Code 2.1 Deep Dive: Hooks Automation, MCP Ecosystem & Multi-Agent Collaboration Fully Explained
Full breakdown of Claude Code 2.1: Opus 4.6 model upgrade, Hooks deterministic automation, Skills multi-agent collaboration, MCP tool chain integration, plus IDE shortcuts and practical commands.
Read more →
Tutorials·4 min
Getting Started with Codex from Scratch: Why It's a Better Fit Than Claude Code for Most People
In-depth comparison of OpenAI Codex vs Claude Code covering account stability, usage quotas, browser control, and automation — helping you get started with this all-in-one AI Agent desktop tool.
Read more →
Tutorials·3 min
Building a Match-3 Game with AI and Letting the Agent Play It: A Complete Hands-On Walkthrough
A front-end dev uses Godot + MCP to let AI build a Match-3 game from scratch, then designs a decoupled architecture for an Agent to play it autonomously with self-improving strategies.
Read more →
Tech Frontiers·3 min
OpenAI Codex Deep Dive: AI Programming Evolves from Code Completion to Full-Repository Autonomous Development
Deep analysis of OpenAI Codex agent and its Codex-1 model, comparing Windsurf's SW1E1 and Anthropic's new reasoning model, exploring how AI programming leaps from single-file assistance to full-repository autonomous understanding.
Read more →