#Agent infrastructure
1814 related articles
Tutorials·2 min
Claude Code Sub-Agent: A Practical Guide to Multi-Agent Collaboration for Enhanced Development Efficiency
Deep dive into Claude Code Sub-Agent mechanism with a practical blog writing + Git commit case study, showing how multi-agent collaboration solves instruction loss and context bloat issues.
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Deep Dives·3 min
Deep Dive into MCP Code Execution & Agent Skills: Compressing 150K Tokens Down to 2,000
Deep analysis of two MCP ecosystem breakthroughs: code execution compresses tool definitions from 150K to 2K tokens, and Agent Skills enable capability packaging and reuse.
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Industry Insights·2 min
Microsoft Bans Claude Code: The Triple Crisis of Cost Black Holes, Product Inferiority, and Ecosystem Loss
Microsoft bans Claude Code internally, forcing engineers to GitHub Copilot CLI. Analysis of the cost crisis, product gap, and AI ecosystem control battle reshaping the industry.
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Tech Frontiers·3 min
Google Introduces AI Assistant in Job Interviews, OpenAI Launches Cybersecurity-Specific Model GPT-5.5 Cyber
Google introduces Gemini AI assistant in hiring to assess AI proficiency, OpenAI launches GPT-5.5 Cyber for critical infrastructure defense, Anthropic nears trillion-dollar valuation, Mozilla fixes 271 Firefox bugs with AI in two months.
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Tutorials·3 min
LangGraph + MCP: A Practical Guide to Building Enterprise-Grade ChatBI Data Analysis Agents
Learn how to build a ChatBI data analysis Agent from scratch using LangGraph + multi-MCP architecture, covering centralized-to-decentralized evolution, NL2SQL, agent orchestration, and enterprise deployment.
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Tech Frontiers·3 min
Anthropic Open-Sources Financial Agent Suite: 10 Agents Covering the Full Investment Banking Workflow
Anthropic open-sources a financial Agent suite with 10 specialized Agents covering Pitchbook creation, earnings analysis, and valuation modeling, integrating 11 data sources via MCP protocol under Apache 2.0 license.
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Tutorials·3 min
MCP Protocol Explained: The New Agent Communication Standard Replacing Function Calling
Deep dive into MCP (Model Context Protocol): its core concepts, three communication mechanisms, and ecosystem. Learn how MCP replaces Function Calling with Streamable HTTP and SDK 2.0.
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Industry Insights·2 min
Devin's Client List Revealed: Why Goldman Sachs, the U.S. Military, and Mercedes-Benz Are Choosing Autonomous AI Programming
Cognition's AI programming tool Devin reveals major clients including Goldman Sachs, U.S. military, and Mercedes-Benz. Analysis of three key signals marking the commercialization tipping point for enterprise AI programming.
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Product Reviews·2 min
MemPalace: An Open-Source Tool That Gives AI Agents Local Long-Term Memory
MemPalace is an open-source local memory tool that builds long-term memory for AI Agents via verbatim storage, semantic retrieval, and MCP protocol, solving the pain of starting from scratch every session.
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Tutorials·2 min
Gemini 3.0 Pro + Claude Opus 4.5: A Practical Guide to Dual-Model Programming Workflows
Compare Gemini 3.0 Pro and Claude 4.5 Opus in programming tasks, build a dual-model workflow with KiloCode for architecture planning and code execution.
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Tutorials·3 min
Getting Started with Spring AI: How Java Developers Can Integrate Large Language Models
Spring AI is the LangChain for Java, helping Java developers integrate LLMs using Spring Boot conventions. This guide covers its 6 core features, setup requirements, and enterprise positioning including RAG, Tool Calling, and Chat Memory.
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Product Reviews·3 min
Hermes Agent Desktop App: The Self-Evolving Open-Source AI Agent
Deep dive into Hermes Agent desktop app: closed-loop learning, persistent cross-session memory, multi-agent management, and tool integration. Discover how this open-source AI agent self-evolves to become a true productivity powerhouse.
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Industry Insights·2 min
Enterprise Agent Implementation Guide: From Digital Foundations to Intelligent Transformation
How can enterprises truly implement AI Agents? This guide covers digital foundations, AI strategy, building logic shifts, and implementation paths for successful Agent deployment.
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Deep Dives·3 min
Harness Engineering Explained: Building Stable and Efficient Work Systems for AI
Deep dive into Harness Engineering: how to build execution environments, toolchains, and feedback loops for AI. From Prompt Engineering to system-level engineering for stable AI production.
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Tutorials·3 min
From Programmer to Agent Developer: A Detailed Four-Stage Learning Roadmap
A systematic four-stage learning roadmap for programmers transitioning to AI Agent development, covering core theory, ReAct and classic paradigms, Prompt engineering, and hands-on projects.
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Tech Frontiers·2 min
Qwen Core Team Turmoil, OpenAI and Google Release New Models in Rapid Succession | AI Daily
Multiple core leaders depart Alibaba's Qwen team amid metric disputes. Same day: MiniMax Music 2.5+, OpenAI GPT 5.3 Instant, Google Gemini 3.1 Flashlight, and Seedance 2.0 pricing announced.
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Tech Frontiers·2 min
DeepSeek OCR2, Kimi K2.5, and Microsoft Maia 200 All Launched on the Same Day
DeepSeek releases OCR2 replacing CLIP with an LLM as visual encoder; Moonshot AI launches Kimi K2.5 with 100+ sub-agent cluster mode; Microsoft deploys 3nm Maia 200 chip; Alibaba releases Qwen3 Max Thinking.
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Tech Frontiers·2 min
Qwen Launches 400+ New Features as Wenxin 5.0 and Multiple LLMs Drop Simultaneously
Alibaba's Qwen APP launches 400+ features integrating Alipay and Taobao, Baidu releases ERNIE 5.0, Meituan unveils deep reasoning model, StepFun tops global speech AI rankings, and Anthropic's share nears Google's.
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Product Reviews·3 min
Gemini 3.1 Pro vs Claude Opus 4.6: Five Real-World Tests to Determine the Winner
Hands-on comparison of Gemini 3.1 Pro vs Claude Opus 4.6 across five real-world tests including SVG generation, interactive components, website building, and complex reasoning, with practical usage recommendations.
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Product Reviews·3 min
Claude 4.5 vs Gemini 3 Pro: A Comprehensive Coding Showdown
In-depth comparison of Claude 4.5 vs Gemini 3 Pro across five benchmarks including ARC-AGI-V2, SWE-Bench, and Terminal Bench 2.0, revealing their real coding and reasoning strengths.
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