#multi-agent AI coding
734 related articles
Product Reviews·3 min
Claude Haiku 4.5 In-Depth Review: Twice the Speed, But Can It Replace Sonnet?
Independent developer benchmarks Claude Haiku 4.5 vs Sonnet in agentic coding using a multi-agent monitoring system, revealing speed gains, precision gaps, and the optimal model hierarchy strategy.
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Product Reviews·2 min
Claude Haiku 4.5 In-Depth Review: One-Third the Cost, Coding Performance Rivaling Sonnet 4
Anthropic releases Claude Haiku 4.5: coding rivaling Sonnet 4 at 1/3 the cost and 2x speed. A dev built browser-based macOS for just 28 cents, redefining small AI model capabilities.
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Tech Frontiers·2 min
Claude Haiku 4.5 Deep Dive: The Cost-Performance Champion with 2x Speed and 66% Lower Cost
Deep dive into Anthropic's Claude Haiku 4.5: a lightweight AI model with nearly 2x speed, 66% lower cost, and multi-agent support—ideal for developers seeking performance at scale.
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Tutorials·3 min
51.8K Stars! Claude Code Best Practices: A Complete Guide from Getting Started to Agent Engineering
Deep dive into the 51.8K Star Claude Code best practices project on GitHub, covering Prompt Engineering, efficient Web Coding, multi-Agent collaboration, and more.
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Tutorials·4 min
Vibe Coding Practical Guide: SDD Methodology Explained with 4 Enterprise-Level AI Programming Projects
Deep dive into SDD specification-driven development methodology with 4 enterprise-level Vibe Coding projects including Chat BI and multimodal knowledge bases, covering Cursor, Claude Code, and Prompt Engineering.
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Tutorials·3 min
Building an AI Workstation: A Layered Tool Strategy and Physical Isolation Guide
A practical guide to building an AI workstation: physical isolation with vertical screens, pyramid tool layering (Doubao/Trae/Claude/GPT-4), and real Token cost breakdowns to maximize AI workflow efficiency on a budget.
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Product Reviews·3 min
Claude Code Agent Views Hands-On: Parallel Development Experience & Pitfall Guide
Hands-on review of Claude Code Agent Views parallel development: cross-project parallel, Git Worktree multi-branch workflows, Space compact mode, plus key caveats on rate limits and Worktree merging.
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Tutorials·3 min
Jules MCP Server: Using the MCP Protocol to Let Claude Orchestrate Google Jules for Autonomous Coding
Jules MCP Server is an open-source project providing a production-grade MCP server for Google Jules API, enabling Claude and Cursor to orchestrate autonomous coding via multi-Agent collaboration.
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Tutorials·4 min
Claude Code Installation Guide: From Zero Setup to Multi-Agent Collaboration in Practice
Complete Claude Code installation guide covering environment setup, one-command install, troubleshooting, cost-saving alternatives, and multi-Agent collaboration tips for beginners.
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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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Product Reviews·3 min
Cursor In-Depth Review: Four Modes + Parallel Agents — Why It Remains the Best AI Coding Tool
In-depth comparison of Cursor vs Claude Code, Windsurf, Trae, and other AI coding tools across Agent modes, terminal tools, browser integration, parallel processing, and context management.
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Tutorials·3 min
Commercial AI Agent Development Guide: 7 Key Steps to Build from Scratch
A complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
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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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Deep Dives·3 min
Claude Code Source Code Leak Revealed: Seven Core Mechanisms of the Harness Architecture Explained
Deep analysis of the Claude Code source code leak, revealing seven core mechanisms of its Harness architecture including context management, tool call orchestration, and state tracking for AI Agent developers.
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Deep Dives·3 min
Hermes Agent Deep Dive: Five-Layer Memory Architecture and Self-Evolution Mechanism Fully Explained
A deep dive into Huawei's open-source Hermes Agent framework: five-layer memory architecture, self-evolution loop, multi-agent collaboration, and comparison with Open Manus.
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Research·3 min
MEMOIR: Solving AI Agent Memory Management with Git Version Control
MEMOIR is an open-source tool bringing Git version control to AI Agent memory management, with branching, rollback, semantic paths, and visualization to solve context pollution and memory drift.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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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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