#custom Agents
10 related articles
·3 min
12 Practical Tips for Vibe Coding with Trae SOLO: From Getting Started to Efficient Collaboration
12 practical tips for vibe coding with Trae SOLO covering agent selection, Plan mode, context management, custom rules, and more to build an efficient AI programming workflow.
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·1 min
GitHub Copilot CLI Custom Agents: Building Reusable Team Development Workflows
Explore GitHub Copilot CLI custom Agents: transform one-off terminal prompts into reusable, auditable team workflows for environment setup, CI/CD, and more.
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·2 min
OpenAI's Financial Services Strategy Explained: GPT-5.5 Capabilities and European Inference Residency in Detail
Deep dive into OpenAI's financial services strategy covering GPT-5.5 financial analysis capabilities, European inference residency, Trusted Access Program, and AI implementations at NatWest, CBA, and Revolut.
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·4 min
Claude Code Practical Guide: Deep Dive into 7 Core Modules with Learning Path
Deep dive into Claude Code's 7 core modules: project integration, agent construction, multi-agent collaboration, plugin systems, and workflow automation, with learning tips and certification trends.
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·2 min
The Right Way to Use Claude Code Sub-Agents: 3-5 Beat 100 Every Time
Deep dive into Claude Code Sub-Agent mechanics: from 5 built-in Agents to custom configs, comparing ECC, Superpowers, and GizTech community solutions.
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Tutorials·1 min
Harness Engineering: Essential Architecture Guide for Agent Development
Deep dive into Harness Engineering architecture for AI agents: multi-agent collaboration, memory management, middleware design, MCP integration, and LangChain's DeepAgent framework.
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Tutorials·2 min
A Practical Methodology for Dissecting Industrial-Grade Agent Source Code with 3 IDEs Working in Tandem
Learn how to use Codex, Claude Code, and Cursor together to dissect industrial-grade Agent source code, with a reusable layer-by-layer methodology applied to OpenCloud.
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Deep Dives
ACP Protocol Explained: A New Open-Sou…
·2 min
ACP Protocol Explained: A New Open-Source Protocol Standardizing Communication Between IDEs and Coding Agents
Deep dive into ACP (Agent-Client Protocol): how Zed and Google Gemini standardize IDE-to-coding-agent communication, its architecture, and how it complements MCP.
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Tutorials·2 min
LangGraph vs LangChain: How to Choose Your Agent Development Framework
In-depth comparison of LangGraph vs LangChain: controllability, extensibility, and FastAPI-powered performance. Covers storage, enterprise private deployment, and migration guidance for agent developers.
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Tutorials·3 min
The Complete Guide to Claude Code: From Personal Assistant to AI Agent Development
A systematic breakdown of the Complete Guide to Claude Code course, covering context engineering, MCP protocol, claude.md configuration, multi-Agent architecture, and three progressive projects.
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