AI Agents Tutorials

Build a Python visual repair agent with DeepSeek V4.1 Flash, the Responses API, Playwright screenshots, apply_patch, pytest, context caching, and cost tracking.

Build and run a cloud agent with the OpenAI Agents API that can analyze files, execute code, verify results, and return finished artifacts from a single request.

Run the optimized Motif-3 Quant on an NVIDIA H200 using the ds4 runtime, serve it through an OpenAI-compatible API, and integrate it with a Pi coding agent.

Learn how to set up the Kimi Browser Extension using both Kimi Work and Kimi Code CLI, and run a product search that extracts structured results from a website.

A practical guide to reviewing Python data science pull requests with Claude Code, GitHub, and ultrareview.

Learn how to build a simple LangChain4j agent that can remember important notes across conversations.

Reduce token usage by cutting context bloat, terminal noise, verbose responses, and over-engineered code with lightweight tools that optimize coding-agent workflows automatically.

Use GPT-6 Astra via the OpenAI API to build a Python release check agent with async tools, reasoning controls, Structured Outputs, and cost tracking, then test computer use and steering.

Learn how to build a custom AI agent harness with Python, ReAct loops, and durable state.

Use GLM-5.3-Flash and CrewAI to build 3 specialist LLM agents covering stock fundamentals, technicals, and news, and merge their findings into a BUY/SELL signal.

Learn how Grok Bot's Bots, shared cloud computer, skills, and routines fit together by building one agent that researches, verifies, and reports every Monday.

Learn how to harness SpaceXAI’s newest frontier model to build intelligent, tool-using agents from scratch. This comprehensive guide walks you through everything from basic API setup to deploying a fully autonomous loop with prompt caching and custom tools.