#human-in-the-loop coding
243 related articles
Tech Frontiers·3 min
OpenAI Restructures to Go All-In on AI Agents: Brockman Takes Command of Product Lines for the 2025 Agent Battle
OpenAI announces major restructuring with President Greg Brockman overseeing all products, consolidating lines to go all-in on AI Agents. Analysis of strategy, competition, and commercialization.
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Product Reviews·3 min
DeepAgent In-Depth Review: An AI Agent That Controls Your Computer for $10/Month — Is It Worth It?
In-depth review of DeepAgent's Computer Use Agent: tested across property search, Excel dashboard building, and flight comparison. Is this $10/month AI agent platform worth it?
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Tutorials·3 min
Gemini 3.1 Pro + Claude Opus 4.6: The Ultimate AI Coding Combo — A Practical Guide
How to combine Gemini 3.1 Pro and Claude Opus 4.6 for AI programming: Opus handles architecture planning, Gemini executes code generation, building a Minecraft clone for free in Anti-Gravity IDE.
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Tutorials·4 min
Claude Code Installation & Setup Guide: From Zero to Integrating Domestic LLMs
Complete guide to installing and configuring Claude Code: Git & Node.js setup, environment variables, bypassing network issues in China, integrating Alibaba Cloud Bailian LLMs, and a hands-on demo of all three working modes.
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Product Reviews·4 min
Cursor SDK vs Claude Code vs Codex: Hands-On Comparison — Which Is the Best AI Coding Tool?
Hands-on comparison of Cursor SDK, Claude Code, and OpenAI Codex across setup difficulty, debugging speed, and code control to help developers pick the best AI coding assistant.
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Tutorials·3 min
Gemini CLI Image Generation Tutorial: Nanobanana Extension Installation, Configuration & Hands-On Guide
Complete guide to installing and configuring the Nanobanana extension for Gemini CLI, demonstrating AI image generation via MCP protocol in the command line with project integration, API Key setup, and cost details.
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Tutorials·2 min
Cline + Gemini CLI Tutorial: Use Gemini 2.5 Pro for Free AI Coding
Step-by-step guide to connecting Cline in VS Code with Gemini CLI for free access to Gemini 2.5 Pro AI coding. Covers installation, proxy setup, model selection, and troubleshooting.
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Tutorials·3 min
GEMINI.md Configuration Guide: Customize Your AI Coding Assistant with Three-Level Scoping
Learn how to create and configure GEMINI.md files in Gemini CLI, including /init auto-generation, personal coding preferences, and the project/directory/global three-level scoping mechanism.
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Product Reviews·3 min
PaiAgent: A Lightweight AI Workflow Orchestration System Built with Vibe Coding
Deep dive into PaiAgent, a lightweight AI workflow orchestration system built with Spring AI and LangGraph4J. Explore its DAG engine design, differentiation from Dify/n8n, and Vibe Coding development insights.
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Tech Frontiers·3 min
Major Cursor Agent Update: AI Coding Assistant Now Tests Its Own Code and Records Video Proof
Cursor's coding Agent gains computer use capabilities, automatically launching browsers to test code and recording work videos for review. See how this reshapes code review workflows.
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Tutorials·4 min
Complete Guide to Agent Observability: Tracing, Evaluation, and Red Teaming in Practice
Deep dive into Microsoft Foundry's Agent observability solution covering multi-Agent tracing, AI quality evaluation, Red Teaming security testing, and automated prompt optimization to bridge the gap between expected and actual Agent behavior.
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Tech Frontiers·3 min
Inside the SJSU Hackathon Winning Projects: A Practical Guide to Building High-Impact AI Agents
Deep analysis of SJSU hackathon-winning AI Agent projects covering architecture design, core elements, and UX optimization—a practical guide from prototype to product.
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Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
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Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Product Reviews·2 min
Roo Code Arena Mode and Plan Mode Explained: New Ways to Use Your AI Coding Assistant
Roo Code launches Arena Mode for blind AI model comparison and Plan Mode for plan-first coding workflows, enhancing AI-assisted programming control and evaluation.
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Tutorials·3 min
TierCraft AI: A Practical Deep Dive into Auto-Generating SaaS Pricing Plans with LangGraph + OpenAI
Deep dive into the TierCraft AI open-source project: using LangGraph to orchestrate AI Agent workflows with OpenAI o4-mini to auto-generate three-tier SaaS pricing plans, featuring Reality-Check loops and context-aware pricing.
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Tutorials·3 min
Hands-On Intelligent Agent Development with LangGraph: From Getting Started to Full Project Architecture
A deep dive into intelligent Agent development with LangGraph, covering core concepts, project architecture, state management, and practical tips for building AI agents in Python.
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Deep Dives·4 min
Deep Dive into Claude Code Source Code: A Complete Guide to Agent Loops, Context Engineering, and Architecture Design
Deep analysis of Claude Code's source architecture: Agent loop mechanism, context engineering strategies, tool system design, and permission controls. Based on the viral GitHub project how-claude-code-works.
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Tutorials·3 min
Dissecting a 10K-Star Open Source Project: The Complete Practical Guide to Agent Context Engineering Skills
Deep dive into the 15K-star GitHub project Agent-Skills-for-Context-Engineering, covering context engineering fundamentals, multi-agent architecture patterns, and production-grade Agent system best practices.
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