Учебные материалы по AI-агентам

Learn how Devin can help you build a Next.js 14 playground with live Vitest feedback and a NestJS backend that saves user progress using an anonymous UUID in localStorage.

Learn how Devin integrates with teams by managing Jira tickets, updating Slack, and running CI/CD checks with GitHub Actions before merging.

Learn how to use Devin to add real user auth with NextAuth, monitor errors with Sentry, and deploy the frontend to Vercel with preview URLs.

Learn about Google’s Project Mariner through real-world examples and a breakdown of its strengths and weaknesses.

Learn how to build an AI agent that answers questions based on a CSV dataset using Flowise, a low-code workflow-based tool.

Learn how to set up AutoGPT, create custom AI agents with a low-code interface, and extend functionality with Python blocks. This hands-on tutorial covers installation, UI basics, and agent creation.

Learn how Julius AI helps you analyze Excel, CSV, and PDF data using natural language. Get visual insights and build reports easily, no coding needed.

Learn how to build AI agents using Mistral's Agents API, and explore key concepts like tool usage, connectors, handoffs, and more.

Learn about Perplexity Labs, its features for creating reports, dashboards, and web applications, and how to use it through practical examples.

Learn what Dify is and how to build an AI travel agent using its low-code drag-and-drop interface.

Learn what Google Jules is and how to use it to automate real-world development tasks for your GitHub repository.

Learn how to build multi-agent AI applications with Autogen Studio, Autogen AgentChat, Autogen Core, and Autogen Extensions.