Practical guides for building AI agents
Tutorials, code snippets, and framework comparisons on agentic AI, MCP, and prompts. Updated weekly for developers.
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Agentic RAG vs Traditional RAG Explained: How Reasoning Loops Fix Bad Retrieval
Compare agentic RAG and traditional RAG. Learn how autonomous reasoning loops, document grading, and query rewriting fix brittle vector search pipelines.
The 4 Core AI Agent Design Patterns Explained: Reflection, Tool Use, Planning & Multi-Agent
Master the 4 core AI agent design patterns: Reflection, Tool Use, Planning, and Multi-Agent Collaboration. Learn architectures, Python code, and trade-offs.
Prompt Engineering vs RAG vs Fine-Tuning: Visual Mental Model & When to Use Each
Compare prompt engineering, RAG, and fine-tuning. Learn the 3-tier mental model, cost and latency trade-offs, and when to use hybrid architectures.
Essential AI Agents & Agentic AI Guides
The articles to read first on AI agents, agentic AI, and agent frameworks, for builders at every level.
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What Are AI Agents? The Complete Guide (2026)
Start HereThe definitive explainer on autonomous AI agents: how they work, types, architectures, and real-world examples across 8 industries.
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Agentic AI Frameworks: The Complete Guide (2026)
EssentialDeep dive into the frameworks powering agentic AI systems in production, with LangChain, CrewAI, AutoGen, and more compared side by side.
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Generative AI vs Agentic AI: Key Differences
PopularUnderstand the shift from reactive generative AI to proactive agentic AI, and why it matters for every developer and business.
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AI Agents vs Agentic AI: What's the Difference?
Must ReadA clear breakdown of individual AI agents versus the broader agentic AI paradigm, with a decision framework for builders.
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Best AI Agent Frameworks Compared (2026)
ComparisonSide-by-side comparison of LangChain, CrewAI, AutoGen, LangGraph, and n8n, with production readiness scores and a framework selection matrix.
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Build Your First AI Agent in Python
TutorialStep-by-step tutorial to build a working autonomous AI agent in Python, from zero to an agent with memory, tools, and goals.
Explore AI Agents, Agentic AI & Related Topics
AI agents, agentic AI, tutorials, MCP, prompt engineering, and AI tools.
- AI Agents 47 Master autonomous AI systems with guides on agent architectures, multi-agent orchestration, agentic workflows, and building intelligent automation.
- Tutorials 20 Learn by doing with step-by-step tutorials, hands-on projects, and practical implementations. Build real AI applications with working code examples.
- MCP 18 Master Model Context Protocol with comprehensive guides, server integrations, and best practices. Connect Claude to any tool or data source.
- Prompt Engineering 47 Master the art of prompting with proven techniques, templates, and optimization strategies. Learn system prompts and advanced methods that get results.
- AI Tools 20 In-depth reviews and comparisons of the best AI tools for writing, coding, design, and productivity. Make informed decisions with expert analysis.
- View All Topics Explore all 18 categories
Your Hub for AI Agents & Agentic AI
AI Agents Kit is built for developers and AI practitioners who want to go beyond chatbots and into autonomous AI agents that perceive, plan, and act. It covers agentic AI frameworks, multi-agent systems, agentic workflows, MCP integrations, prompt engineering, and skills, with framework comparisons and working code. Explained clearly and updated weekly. Browse all AI agent articles.