AI Tutorials

Learn what Moonshot's Kimi K2 is, how to access it, and see it in action through six practical examples you can use.

A deep dive into how AWS generative AI powers scalable, secure, and cost-optimized AI applications across industries. Ideal for teams ready to move from pilot to production.

Learn what Google’s SynthID is, how it works, and how to implement a SynthID watermark for text.

This post breaks down the action-value function, a core concept in reinforcement learning, and walks you through implementing it using Q-learning and DQNs in Python.

Discover how Firecrawl simplifies web data extraction with AI-driven crawling, scraping, and mapping tools. Learn how to use it with Python and AI agents to power modern workflows.

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 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 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 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.