AI Agents Tutorials

Learn how to use MiniMax M3 with MiniMax Code, a local and browser-based agentic coding engine for generating presentations, research reports, websites, games, and full complex projects in this in-depth hands-on review.

Learn how to build a productivity agent with Qwen 3.7 Max via OpenRouter, that plans, researches, writes, and self-reviews its own output in a Streamlit app.

Google's Managed Agents let you deploy autonomous agents with a single API call. Learn how to build one that analyzes data, runs Python, and generates charts.

Use Google's Antigravity CLI to orchestrate dynamic subagents that clean, analyze, and visualize a dataset in parallel, producing an interactive HTML dashboard.

Learn how to write a spec, turn it into a plan, and let Claude Code build using spec-driven development. Compare Superpowers, Spec Kit, and BMAD-METHOD to find the right tool for your workflow.

Connect Xiaomi MiMo-V2.5-Pro to OpenCode with Olostep MCP and the MiMo Token Plan, then put it to the test by building a CLI tool and a Reflex web app.

Build a Python exercise trainer that logs workouts, remembers user history with Supermemory, and suggests personalized sessions across separate AI agent runs.

Build an AI agent with Kimi K2.6, Olostep, and the OpenAI Agents SDK that reads your CV, finds live roles, filters noise, and tells you exactly where to apply.

Customize Claude Code in the terminal with permissions, CLAUDE.md, plan mode, /loop, hooks, /voice, and cost tracking. Seven upgrades that pay off fast.

Learn how to build an OpenAI agent app that runs inside Modal Sandboxes, works with files, executes code, and returns results in this hands-on Python tutorial.

Learn how to use Alibaba's Qwen 3.6 Plus, Python, and the OpenAI SDK to build an automated invoice processing pipeline with native vision and tool calling.

Learn the capabilities of Anthropic’s best publicly available model, Claude Opus 4.7, and build a data science tool that can turn a chart into raw data.