#多代理协作
7 related articles
Product Reviews·3 min
Zenflow Hands-On Review: Spec-Driven AI Coding vs. Pure Prompt-Based Development
In-depth review of Zenflow's spec-driven AI coding vs Google AI Studio's prompt-based approach. Covers multi-agent execution, automated validation, version rollback, and the paradigm shift in AI programming.
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Deep Dives·3 min
Claude Sub-agents vs Agent Teams: How to Choose Between Two AI Multi-Agent Collaboration Patterns
Deep comparison of Claude sub-agents vs agent teams: architecture differences, use cases, and real-world results. A Pokémon RPG case study shows how agent teams achieve 95%+ feature completeness.
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Product Reviews·1 min
Gas City 1.0 Open-Source Platform: Building Automated Software Factories with Multi-AI Agent Orchestration
Gas City 1.0 is an open-source software factory platform that orchestrates multiple AI coding agents like Claude Code, Codex, and Gemini to transform non-deterministic outputs into production-grade code.
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Product Reviews·1 min
Ruflo: Turning Claude Code into a Multi-Agent Collaborative Development Team
Ruflo is an open-source multi-agent framework that adds Swarm collaboration, Memory persistence, and a Plugin Marketplace to Claude Code, upgrading a single AI assistant into a coordinated Agent dev team.
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Tutorials·2 min
GitHub Agent HQ: A Practical Guide to Multi-AI Agent Parallel Collaborative Development
Learn how GitHub Agent HQ orchestrates Copilot, Claude, Codex and other AI coding agents in parallel, covering Issue automation, VS Code integration, and mobile management.
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Product Reviews·3 min
Team Memory MCP: A Deep Dive into the Shared Memory System for AI Coding Agents
Deep dive into team-memory-mcp, an open-source shared memory system for AI coding agents like Claude Code and Cursor, featuring Bayesian confidence scoring and temporal decay via MCP protocol.
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