Tutoriale AI Agents

Discover Chrome DevTools MCP, the AI-driven way to control Chrome with natural language. Automate navigation, debugging, and testing instantly.

Learn how to use the Perplexity Search API to build a Chrome extension that verifies factual claims in real time. Includes Node.js backend setup and API integration guide.

Learn how to use Gemini 2.5 Computer Use to build an AI-powered job search agent. This hands-on tutorial walks you through browser automation with Playwright and Streamlit, no APIs required.

Learn how to use OpenAI AgentKit to automate GitHub issue reviews with AI agents that classify, detect duplicates, and summarize reports.

Learn how the Claude Agent SDK works by building three projects, from one-shot to custom-tool agents.

Learn how CrewAI, LangGraph, and AutoGen approach multi-agent AI. Explore their differences in workflows, memory, scalability, and collaboration to discover which fits your needs best.

Compare LangChain, LangGraph, LangSmith, and LangFlow. Learn their roles, strengths, and when to use each for building production-ready AI applications.

Learn how to build reliable AI agents with Pydantic AI in Python. Validate outputs, use tools, and stream insights with practical code examples.

Learn how to build a Deep Research Assistant using Jan-v1's agentic reasoning capabilities, including local deployment, Streamlit app development, and more.

Learn about Kiro, an AI IDE, and its features, installation, and how it compares to other AI coding tools like Cursor.

Learn what deep agents are, their core components, and how to build a job application assistant using LangChain's deepagents package.

Learn what Trae AI is, its features, pricing, installation process, practical applications, and how it compares to Cursor AI.