#declarative agent
257 related articles
·3 min
LangChain Beginner's Guide: From Environment Setup to RAG — A Complete Hands-On Walkthrough
A systematic guide to LangChain covering environment setup, model invocation, Prompt Templates, Output Parsers, LCEL chain expressions, and hands-on RAG implementation for beginners.
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·4 min
The Complete AI Agent Engineering Tech Stack: A Practical Guide to 100x Development Efficiency
Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.
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·3 min
Codex and Claude Code Practical Guide: From Installation to Enterprise Project Deployment
In-depth analysis of OpenAI Codex covering installation, agents.md architecture, MCP protocol integration, multi-agent collaboration, and RAG customer service system development for enterprise use.
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·3 min
Nexent Open-Source Platform: Zero-Code Auto-Generation of Production-Grade AI Agents
Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.
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·3 min
Android Skills Explained: An Open-Standard Instruction Set System for AI
Deep dive into Google's Android Skills open standard: how this AI instruction set uses structured Markdown files to solve LLM training data lag, covering XML-to-Compose migration, Navigation 3, and custom authoring best practices.
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·3 min
CrewAI Multi-Agent Collaboration in Practice: A Complete Guide from Setup to API Service
A detailed guide to CrewAI multi-Agent collaboration covering core concepts, FastAPI service setup, and real-world comparisons of GPT-4o Mini, Qwen Max, and Llama 3.1.
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·2 min
Claude Fable User Guide: Four Core Tips to Boost AI Development Efficiency
Anthropic shares four key tips for Claude Fable: assign bigger tasks, choose effort levels wisely, rewrite old instructions, and shift from tasks to goals.
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·3 min
Complete Guide to Pi Coding Agent: Building Customized AI Programming with Minimalist Four Tools + Extension System
In-depth guide to Pi Coding Agent: its four core tools, extension system development, Skills management, and detailed comparison with Claude Code for building customized AI programming workflows.
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·3 min
Claude Code Context Management in Practice: The Five-Layer Backpack and Token Optimization Principles
Deep dive into Claude Code's context mechanics: the five-layer backpack structure, 200K Token boundaries, three optimization strategies, and sub-agent isolation to cut Token costs and prevent AI degradation.
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Complete Guide to Cursor AI's Seven Wo…
·4 min
Complete Guide to Cursor AI's Seven Work Modes: From Beginner to Power User
In-depth guide to Cursor AI's seven work modes: Plan, Debug, Multitask, Ask, Image, Skills, and MCP Servers, with practical demos and scenario selection tips.
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·2 min
OpenAI Codex Parallel Tasks in Practice: Multi-Task Concurrent Execution Tips and Best Practices
A detailed guide to OpenAI Codex Cloud parallel task execution, covering isolated container principles, concurrent UI component generation demos, merge conflict handling, and maintaining human review in AI programming.
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·3 min
Deep Dive into How Claude Code Works: Prompt Assembly, Permission Control, and the Skills Mechanism
Deep dive into Claude Code internals: stateless model principles, four-layer prompt assembly, Agentic Loop execution, permission control, and reusable Skills workflow templates for agentic engineering.
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·3 min
Claude Code Status Ambient Light: A Traffic Light System for Real-Time AI Programming Status
Build a traffic light system using Claude Code's Hooks callbacks to display real-time AI programming status via LEDs, light strips, and buzzers with serial communication on Zephyr RTOS.
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·4 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Plan from Zero to Production
A systematic AI Agent development learning roadmap covering LLM API calls, ReAct framework, memory mechanisms, and multi-agent collaboration across four stages with timeline and project suggestions.
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·3 min
Codex Beginner's Guide: Lessons Learned from 660 Million Tokens of Real-World Usage
Deep dive into OpenAI Codex Agent's core features, Skill ecosystem, context compression, and project-level Harness management tips from 660M tokens of real-world usage.
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·2 min
Using HTML Instead of PPT for Dynamic Presentations: 1 Hour to Complete 3 Days of Work
A designer tested using AI-assisted HTML coding in Cursor to create dynamic presentations, cutting 3 days of work to 1 hour. Covers animation, interaction design, and Cursor workflow.
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OpenAI Codex Launches Build iOS Apps P…
·2 min
OpenAI Codex Launches Build iOS Apps Plugin: Enabling a Complete Write-Preview-Test Loop
OpenAI Codex launches Build iOS Apps plugin with in-app browser testing, SwiftUI preview, and hot reload, enabling a complete write-preview-test workflow for iOS development.
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·2 min
Android Studio Agent Mode Explained: A Guide to Zero-Configuration Firebase Integration
Android Studio now features Agent Mode with Firebase Agent Skills for zero-config setup. Learn about automated Firestore, Authentication, and security rules.
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·3 min
Cursor Auto-Review Mode Explained: Smart Tiered Approval for More Efficient AI Programming
Cursor launches Auto-review mode with smart risk assessment for tiered approval. Low-risk operations auto-approve while high-risk ones need manual confirmation.
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·3 min
Firebase Integrates with AI Studio: Four Core Capabilities for Production-Grade Agent Applications
Deep dive into Google Firebase's integration with AI Studio, covering four core capabilities—database auto-configuration, authentication, security rules drafting, and zero-config deployment—for production-grade AI agent apps.
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