AI-tutorials

Learn how to install and use the Google Gemini CLI to streamline your coding workflow and fix bugs faster with AI.

Discover how Devin can assist in your coding tasks. In this first tutorial, we’ll get started on an existing repo and explore the features available in the Devin environment.

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.

Set up a full-stack deep AI research assistant, featuring a React frontend and a LangGraph backend.

Step-by-step guide to fine-tuning the Mistral reasoning model on a medical MCQs dataset using the Transformers framework.

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 set up and run Mistral's Magistral Small model using Ollama and vLLM, and build a demo project that debugs faulty logic.