#Pi swarm system
120 related articles
·2 min
Deep Dive into Devin's Background Agent Architecture: Behind the 80% AI-Committed Code
Deep analysis of Devin's background agent architecture: brain-sandbox separation, environment setup, MCP integration, memory systems, and multi-agent collaboration challenges.
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·3 min
DeepSeek Researcher Summarizes 10 Rules for Using AI Agents
A DeepSeek researcher shares 10 universal rules for using AI agents, covering the shift from execution to judgment, memory file systems, human-AI collaboration boundaries, and more.
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·3 min
Agent Harness: A New AI Agent Paradigm from Prompt Engineering to Execution Environment Orchestration
Deep dive into Agent Harness Engineering: how loop execution and context isolation overcome the bottlenecks of prompt and context engineering in modern AI coding agents like Cursor.
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·3 min
New Book Breakdown: "Claude Code in Practice: The Way of Harness Engineering" — Master AI Programming Engineering in Ten Chapters
Deep breakdown of the new book on Claude Code engineering, covering Harness concepts, four-layer architecture, five-layer memory, sub-agents, hooks, MCP protocol, and CI/CD integration.
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·4 min
Agent Harness: The Paradigm Leap from Prompt Engineering to Harness Engineering
Deep dive into Agent Harness: tracing the paradigm evolution from Prompt Engineering to Context Engineering to Harness Engineering, and how loop-based architectures solve context loss in AI coding agents.
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·4 min
Anthropic Dynamic Workflows Explained: When to Use Them and Pitfalls to Avoid
Deep dive into Anthropic Dynamic Workflows: core mechanisms, differences from single Agent and Sub-Agent patterns, and a decision tree for when to use them vs. when to avoid burning tokens.
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·3 min
Multi-Agent Cost-Cutting Guide: 4 Documents to Slash 60-80% of Your Token Spending
Multi-agent bills out of control? This article breaks down two core token cost pain points and provides 4 actionable documents to cut multi-agent task costs by 60-80%.
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·2 min
AI Coding Gone Wrong: 4 Models Generated Files to the Exact Same Path
Testing Claude Code, Codex, DeepSeek & MiniMax simultaneously, all four AI models wrote files to the same path. A real-world lesson in multi-model isolation.
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·3 min
Codex in Action: One Prompt, 47 Minutes, a Complete Algorithm Research Paper
Testing OpenAI Codex: one detailed prompt generates a complete algorithm paper in 47 minutes, including working code, figures, and LaTeX manuscript. Covers prompt design, quality assessment, and real submission experience.
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·3 min
AI Agent Learning Roadmap: A Four-Stage Plan from Zero to Hands-On
A systematic four-stage AI Agent learning roadmap covering LLM API calls, ReAct paradigm, memory mechanisms, and multi-agent collaboration for beginners.
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·1 min
Ultimate Review of the Top 10 AI Coding Models: Who Reigns Supreme?
In-depth review of the top 10 AI coding models in 2026, comparing Qwen 3.7 Max, DeepSeek V4 Pro, Claude 4.5 Summit, GPT 5.5 and more across code generation, Agent collaboration, and long-context handling.
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·3 min
GitHub Universe 2026 Returns: Officially Entering the AI Agent Era
GitHub Universe returns Oct 28-29, 2026 at Fort Mason Center, San Francisco, themed around the Agentic Era. From Copilot to AI Agents, GitHub leads software development into autonomous intelligence.
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·3 min
Cliff Honey Hunters and Nomadic Beekeepers: Ancient Professions on the Verge of Disappearing
Inside Yunnan's cliff honey hunting and nomadic beekeepers' migratory lives—the dangers of harvesting from giant honeybees, the science of honey, and why pesticides are pushing bees out of modern agriculture.
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·2 min
Codex Systematic Tutorial: From Beginner to Enterprise-Level AI Engineering
In-depth guide to Codex AI programming tool: environment setup, Rules system, MCP protocol integration, multi-Agent collaboration, and enterprise RAG customer service project for complete AI engineering deployment.
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·4 min
AI Super Week: Hundred-Billion-Dollar Capital, the Agent Revolution, Safety Crises, and China's New Landscape
Deep analysis of AI Super Week's four themes: Alphabet's $80B raise and Anthropic's IPO ignite capital markets, OpenAI Codex drives the Agent work revolution, Florida's first AI lawsuit sounds safety alarms, and China's WeChat Agent charts a differentiated path.
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·2 min
Gemini 3.5 Flash Teams Up with Antigravity: Multi-Agent Collaboration to Build an Entire City
Deep dive into how Gemini 3.5 Flash and Antigravity platform use multi-subagent architecture to design and build a complete virtual city from scratch.
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·4 min
OpenAI Swarm Framework Explained: The Core Mechanisms of Function Call and Handoff
Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.
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Tech Frontiers·3 min
Claude Powers NASA Mars Rover Route Planning, Windsurf Launches IDE Model Arena
Claude plans routes for NASA's Perseverance rover, Windsurf launches Arena Mode for in-IDE model comparison, SenseTime open-sources multimodal reasoning models, and Anthropic research reveals pros and cons of AI-assisted learning.
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Tech Frontiers·3 min
Claude Powers NASA Mars Rover Route Planning, Windsurf Launches IDE Model Arena
Claude plans routes for NASA's Perseverance rover, Windsurf launches Arena Mode for in-IDE model comparison, SenseTime open-sources multimodal reasoning models, and Anthropic research reveals pros and cons of AI-assisted learning.
Read more →
Product Reviews·2 min
JCode: Deep Dive into a Multi-AI Agent Collaborative Programming Framework
Deep dive into JCode, an open-source Coding Agent Harness designed for multi-Agent collaboration. Features Agent Memory, Swarm collaboration, multi-Provider access, and self-evolution with just 14ms first-frame latency and 117MB for 10 sessions.
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