#parallel Agent development
1174 related articles
Tutorials·3 min
Claude Code Advanced Tutorial: Subagent Parallel Processing, MCP Tool Integration & Skills Automation
Deep dive into three advanced Claude Code features: Subagent parallel processing, MCP protocol for external tools like Playwright, and Skills for workflow automation. Includes practical examples.
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Deep Dives·3 min
Harness Engineering: The Core Engineering Methodology for Taking AI Agents from Demo to Production
Deep dive into Harness Engineering: its definition, six core components, and production practices. Learn why Prompt and Context Engineering aren't enough for production-grade AI Agent systems.
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Product Reviews·3 min
8K Stars on GitHub: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the awesome-LLM-resources project (8200+ GitHub Stars), covering multimodal AI, Agents, MCP protocol, model training, o1 reasoning, SLMs, and more for LLM practitioners.
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Tech Frontiers·3 min
Claude Platform Officially Launches on AWS: Complete API, IAM Authentication & EDP Credits Explained
Claude Platform is now GA on AWS, offering enterprises the complete Claude API with IAM-native auth, unified billing, and EDP committed spend credits.
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Deep Dives·4 min
The Agentic AI Explosion: A Complete Guide to the Paradigm Shift from Generative to Agentic AI in 2026
In 2026, the AI industry shifts from generative to Agentic AI. Deep dive into GPT-5.5 agent capabilities, Claude's autonomous learning, Physical AI deployment, DeepSeek V4, inference optimization, and the global AI competition landscape.
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Tutorials·4 min
Open Agent Builder: Deployment Tutorial & Hands-On Guide for This Open-Source AI Agent Visual Builder
Complete guide to Open Agent Builder: an open-source visual AI agent builder with local deployment steps, stock analysis demo, and comparison with n8n and OpenAI Agent Builder.
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Product Reviews·3 min
AntiGravity + SkillBoss Hands-On: AI One-Click Video, Podcast, and E-commerce Website Generation Full Workflow
Hands-on testing Google AntiGravity IDE with SkillBoss plugin: AI video generation, podcast creation, and e-commerce deployment workflow, plus skill injection architecture and $15 full-stack setup.
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Deep Dives·4 min
Five Core Concepts of AI Programming: A Complete Guide from Prompt to Harness Engineering
A clear breakdown of five core AI programming concepts — Prompt Engineering, Context Engineering, Agent, Skill, and Harness Engineering — with real-world use cases and advice for indie developers.
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Product Reviews·3 min
2025 Comparison of Six Major Agent Development Frameworks: AutoGen/LangChain/LangGraph Selection Guide
In-depth comparison of six AI Agent frameworks—AutoGen, LangChain, LangGraph, Google ADK, OpenAI Agents, AgentScope—covering architecture, ecosystem maturity, and practical selection advice.
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Tutorials·4 min
Codex App Installation & Usage Guide: Complete Tutorial for Multi-Task Parallel AI Programming
Complete guide to installing and using OpenAI Codex App: Git/Node.js setup, multi-task parallel processing, sandbox permissions, and practical tips compared to Cursor and Claude Code.
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Tutorials·3 min
AI Agent Model Tiered Routing Strategy: Token Cost, Hallucination Mitigation, and Practical Model Selection
Deep dive into tiered model routing strategies for AI Agent development, covering Token economics, context window degradation, Temperature uncertainty, and hallucination mitigation with practical Sonnet/Haiku/O-Pro selection.
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Product Reviews·4 min
FreeBuff Coder Review: Is This Ad-Supported Free AI Coding Assistant Actually Worth Using?
Comprehensive review of FreeBuff Coder free terminal AI coding assistant, covering its 9 sub-agents, DeepSeek V4 model routing, IPIR workflow, privacy concerns, and comparison with Claude Code.
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Product Reviews·3 min
A Comprehensive Guide to the OpenAI Codex APP: Feature Breakdown and the New Paradigm of AI Programming
Deep dive into OpenAI Codex desktop app: real-time task management, Skills system, MCP protocol integration, Work Trees isolation, and automated tasks reshaping developer workflows.
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Product Reviews·3 min
9 Emerging AI Tools to Try: The Best Automation & Agent Platforms of 2025
Explore 9 noteworthy AI tools of 2025 covering workflow automation, multi-agent collaboration, no-code development, and autonomous programming including Active Pieces, Make, Devin AI, and OpenAI Operator.
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Tutorials·4 min
Claude Code Practical Tips: A Complete Guide from Code Q&A to Parallel Workflows
Deep dive into Claude Code tips covering codebase Q&A, CLAUDE.md configuration, MCP server integration, SDK mode, and parallel sessions to master Anthropic's AI coding assistant.
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Product Reviews·3 min
Crush CLI: The Fastest Terminal AI Coding Assistant Built with Go
Crush CLI is a Go-based terminal AI coding assistant reborn from OpenCode, featuring LSP enhancement, multi-model switching, and multi-session management. Pair it with free Qwen 3 Code for zero-cost professional AI coding assistance.
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Tech Frontiers·4 min
Claude's Quota Slashed by 20x — Can GLM 4.6 Be the Best Alternative?
Anthropic slashes Claude Max Opus quotas by 20x, driving developer exodus. GLM 4.6 enters with 1/10th API pricing, 200K context window & open weights. Full comparison inside.
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Deep Dives·3 min
ReAct Pattern and Transformer Architecture Explained: High-Frequency AI Interview Topics for Frontend Developers
Deep dive into Agent core logic ReAct (Reasoning + Acting) execution flow, Transformer self-attention mechanism, and essential AI skills for frontend developers including prompt engineering, RAG, and Agent development.
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Deep Dives·3 min
What Are Large Language Models? A Deep Dive into Parameters, Models, and the Essence of AI LLMs
What exactly is a large model? This article explains the essence of LLMs from the core concepts of "models" and "parameters," covering GPT parameter scales, vector dimensions, and open-source model selection.
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Tutorials·4 min
Hermes Agent in Practice: Building a Memory-Persistent AI Assistant with a Four-Layer Memory System
Deep dive into Hermes Agent's four-layer memory system architecture, covering Harness Engineering principles, Lark integration, persistent memory configuration, and autonomous Skill evolution for building AI assistants that never forget.
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