#ReAct pattern
1172 related articles
Tutorials·2 min
Superpowers Writing Plans in Practice: A Good Plan Cuts Token Usage in Half
How to use the Superpowers Writing Plans skill correctly—identify AI blind spots, supply API docs, and use tiered models to cut Token costs in half from the planning stage.
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Tutorials·2 min
Use Claude Code for Free: CC Switch + Ollama Local Model-Powered AI Programming Agent Tutorial
Tutorial on using CC Switch to disguise local Ollama models as Claude API, driving Claude Code desktop for free AI programming with Qwen, Gemma, and other open-source models.
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Expert Opinions·2 min
How to Make Money on Xianyu: Why Ordinary People Should Choose Xianyu Over AI Projects in 2025
Why ordinary people should choose Xianyu over AI projects in 2025: zero startup costs, platform traffic dividend, and new AI pricing features. Real case studies included.
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Tutorials·2 min
Building an AI IDE from Scratch: Replicating Cursor's Core Features with Next.js
Learn how to build an AI-powered IDE like Cursor from scratch using Next.js, covering Ghost Text completions, AI Agent file operations, Web Containers, and GitHub integration.
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Tutorials·3 min
Spring AI Getting Started Tutorial: Environment Setup, Version Requirements & Core Concepts Explained
Spring AI getting started guide covering JDK 17 setup, Spring Boot 3.4 requirements, core concepts like Chat Completion and Tokens, helping Java developers quickly build AI applications.
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Tutorials·2 min
Building an AI Research Assistant with Python + LangChain: Eliminating Academic Hallucinations via MCP
Build an AI research assistant with Python, LangChain, and Consensus MCP. Eliminate LLM hallucinations in academic citations using structured outputs and real-time literature retrieval.
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Industry Insights·2 min
Three Jobs AI Will Replace First in 2025: What's Next for Customer Service, HR, and Programmers?
In-depth analysis of three jobs AI will replace first in 2025—customer service, HR, and programmers. How intelligent systems, AI recruitment tools, and coding assistants are accelerating displacement.
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Expert Opinions·2 min
Are Programming Tutorials Dead? Two Top Creators Reveal the Truth in the AI Era
When AI writes code directly, short-form video captures attention, and the dev job market shrinks, do programming tutorials have a future? Two million-subscriber creators discuss survival strategies.
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Product Reviews·1 min
Kman Plugin Review: Cut Claude Code Output Tokens by 65% and Save Big
How the Kman plugin uses prompt injection to cut AI output tokens by 65% without losing code quality. Covers installation, benchmark data, three intensity modes, and Kman Review.
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Tutorials·2 min
LangChain v0.3 Agent Tutorial: Complete Guide to Tool Definition, Building, and Execution
Complete guide to building AI Agents in LangChain v0.3, covering @tool decorator, Agent Executor, parallel tool calls, Google Search integration, and ReAct framework with code examples.
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Tutorials·2 min
LangChain Agent Executor Architecture: Building a ReAct Agent from Scratch
Deep dive into LangChain Agent Executor internals, covering the ReAct reasoning-action-observation loop, tool choice strategies, and building a custom Agent Executor from scratch.
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Tutorials·2 min
LangChain AI Agent in Practice: Complete Tutorial on Streaming Output + Parallel Tool Calling
Learn how to build a production-grade AI Agent chat app with LangChain and FastAPI, covering streaming tokens, asyncio parallel tool calling, SerpAPI async conversion, and structured output.
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Product Reviews·2 min
Google AntiGravity 2.0 In-Depth Review: Desktop App, Go-Rewritten CLI, and Gemini 3.5 Flash Hands-On
In-depth analysis of Google I/O 2026's AntiGravity 2.0 desktop app, Go-rewritten CLI, and Gemini 3.5 Flash model. Covers multi-agent workflow testing, benchmarks, and competition with Claude Code/Cursor.
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Deep Dives·2 min
How AI Agents Work: The Four Core Elements and ReAct Loop Decision-Making Mechanism Explained
Deep dive into AI Agent's four core elements (LLM, Tools, Prompts, Executor) and ReAct loop decision mechanism, with a weather query example walkthrough.
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Tech Frontiers·1 min
OpenAI Codex Goal Mode Explained: How the AI Programming Assistant Executes Tasks Lasting Over 100 Hours
OpenAI Codex introduces Goal mode for sustained AI programming tasks lasting hours or days. Learn usage methods, best practices, and real-world applications.
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Tutorials·3 min
Building a Full-Stack Website from Scratch with AI: A Cursor + DeepSeek Hands-On Tutorial
A complete guide on building a full-stack website from scratch using Cursor and DeepSeek, covering MySQL database design, Node.js backend, Vue frontend, and deployment via BT Panel.
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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·2 min
OpenAI Codex Hands-On Tutorial: A Complete Guide to Prompt Engineering, Agent Skills & Cloud Automation
Deep dive into OpenAI Codex's three core capabilities: prompt engineering for better code generation, agent skills for autonomous programming, and cloud automation for end-to-end CI/CD pipelines.
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Tutorials·3 min
A 23-Year-Old Built an App with AI in Two Weeks, Reaching $20K/Month in 50 Days: The Complete Methodology
A 23-year-old with no coding background used Claude Code to build an app in two weeks, growing from zero to $20K/month in 50 days. Full breakdown of his methodology from idea validation to AI programming and growth marketing.
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Tutorials·2 min
Claude Code Keeps Writing Garbage Code? A Configuration Guide for CLAUDE.md and AGENTS.md
Deep dive into CLAUDE.md and AGENTS.md configuration for Claude Code. Real cases show proper setup reduces context explanation time from 60% to near zero, letting AI truly understand your project.
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