AI Agent Tutorials
Step-by-step guides: from your first agent to a production team.
β AI Agents Β· π·πΊ Π ΡΡΡΠΊΠΈΠΉ
Tutorials
| # | Tutorial | Description | Difficulty | Time |
|---|---|---|---|---|
| 1 | First Agent in 30 Minutes | ReAct agent with search, no frameworks |  Beginner |
30 min |
| 2 | Agent Team for a Project | Multi-agent system: PM, analyst, developer, tester |  Intermediate |
60 min |
| 3 | Coding Agent | Coding agent: reads code, writes tests, creates PRs |  Advanced |
45 min |
Prerequisites
Make sure you have:
- Ollama installed β local-models/getting-started.md
- Model
qwen3.5:4bpulled βollama pull qwen3.5:4b - Python 3.10+ with
pip install requests
Theory
To understand how agents work before diving into tutorials:
- Agent Architecture β what an agent is made of
- Patterns β ReAct, Plan-and-Execute, Reflection
- Prompting β writing system prompts for agents
Related Sections
Local Models β Ollama setup, modelsUse Cases β real-world agent applications
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