#AI application layer
4157 related articles
·2 min
Gemini Spark: Google's AI Workflow Assistant with Deep Workspace Integration
Gemini Spark is Google's AI workflow assistant powered by Gemini 3.5 Flash, deeply integrated with Google Docs, Gmail, and other Workspace apps for cross-app task orchestration and boosted productivity.
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Tutorials·4 min
Cursor + Codex Dual-IDE Collaboration: A Practical Methodology for Open-Source Project Customization
A complete methodology for open-source project customization based on real-world experience, detailing the Cursor+Codex dual-IDE workflow, seven-stage process, MVP validation, and AI source code reading techniques.
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Tutorials·2 min
Cursor Multi-Agent in Practice: Building a Full-Stack Next.js Blog in 50 Minutes
Build a full-stack blog in 50 minutes using Cursor IDE's multi-Agent mode with Next.js, Clerk auth, and Supabase. Learn the 4-phase AI Agent workflow and key integration pitfalls.
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Tutorials·3 min
Building an AI Software Factory from Scratch: A Cursor Engineer's Hands-On Experience with Multi-Agent Collaboration
Cursor engineer Eric shares practical insights on building an AI software factory: automation levels, guardrail design, parallel Agent management, and scaling to 1000+ Agents for 24/7 development.
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Tutorials·3 min
Agent Tuning: A Complete Guide to Training LLMs with Agent Capabilities
A deep dive into Agent Tuning principles and practices, covering why Agent training is needed, the evolution from Prompt to RAG to Agent, development workflows, and cost assessment for private deployment.
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Tutorials·2 min
Building a Financial Analysis Agent with Cursor + MCP: From Architecture Design to Production Deployment
A complete guide to building a financial analysis Agent system from scratch using Cursor AI and MCP protocol, covering three-layer architecture design, MCP Server development, and production deployment.
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Tutorials·2 min
Getting Started with RAG: What Is Retrieval-Augmented Generation and How Does It Solve LLM Hallucination?
RAG (Retrieval-Augmented Generation) is the core solution for LLM hallucination. Learn RAG concepts, how it works, three causes of hallucination, and the complete learning path from basics to Knowledge Graph RAG.
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Tech Frontiers·3 min
GitHub Agent HQ Launch: AI Coding Tools Enter the Era of Platform Competition
GitHub Universe unveils Agent HQ platform for unified coding agent management, Copilot upgrades with multi-model support. OpenAI completes restructuring, Anthropic tests new model, NVIDIA open-sources AI models.
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Tutorials·2 min
How AI Coding Skills Work: From Function Call to Sub-Agent Implementation
Deep dive into how AI coding Skills work technically, from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.
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Tutorials·2 min
How AI Coding Skills Work: From Function Call to Sub-Agent Implementation
Deep dive into how AI coding Skills work: from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.
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Tutorials·1 min
Spring AI Alibaba Agent Framework: Three-Layer Architecture and Learning Path
Deep dive into Spring AI Alibaba Agent Framework's three-layer architecture: Spring AI foundation, Graph framework, and Agent Framework, with a recommended learning path for Java developers.
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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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Deep Dives·3 min
Deep Dive into How OpenClaw (Open-Source Crayfish) AI Agent Works
Deep analysis of OpenClaw AI Agent internals: System Prompt, tool calling, SubAgents, Skill system, memory, and Context Engineering explained.
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Expert Opinions·3 min
Windsurf CEO Deep Dive Interview: Speed Is the Only Moat
Windsurf CEO Varun Mohan shares insights on AI coding IDE pivots, product methodology, async Agent challenges, and differentiation strategy vs Cursor. Speed is the only moat.
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Tutorials·3 min
How Ordinary People Can Build Products with AI Programming
AI programming tools let anyone build products, but zero-experience users still struggle. Learn why Python basics and key strategies help you direct AI effectively.
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Tutorials·3 min
Claude Code Beginner's Guide: 6 Hands-On Projects from Getting Started to Deployment
Complete Claude Code guide covering Plan Mode, iterative development, MCP connectors, API integration, and GitHub/Vercel deployment through 6 hands-on projects.
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Tutorials·3 min
AI-Powered Frida Reverse Engineering: Efficient Packet Capture in One Shot
A detailed guide on AI+Frida reverse engineering for packet capture, from decompilation to auto-generated Hook scripts, capturing encrypted protocol plaintext in four steps.
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Product Reviews·2 min
Codex vs Claude Code vs Cursor: A Practical Comparison and Selection Guide for the Three AI Coding Giants
In-depth comparison of Codex, Claude Code, and Cursor: pricing, stability, and capability differences. Codex excels at UI, Claude Code at logic, Cursor at ecosystem maturity. Includes practical selection guide.
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Tutorials·3 min
TheCherno Reboots Game Engine Series: AI-Assisted Development and Hazel Code Review
TheCherno reboots his Game Engine series with AI-assisted development. This article covers his Hazel engine code review, architecture analysis, and key improvements for building a new engine from scratch.
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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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