“Pi — A Practical Guide” is a course for developers who want to quickly master the minimalistic and extensible AI coding agent and customize it for real development tasks: working with code, terminal, files, context, sessions, packages, skills, and extensions.
Course Description
Pi is designed to be minimalistic yet highly extensible. This flexibility makes the tool adaptable but may initially raise questions: which AI model to choose, how the security system is set up, how to manage sessions and context, and which packages and extensions are truly useful in everyday work.
The course will guide you through a practical path — from the initial installation and configuration of Pi to daily use in projects. You will connect an AI model, configure the agent’s behavior, learn to work with files and the terminal, provide the right context, solve tasks within the codebase, and gradually extend Pi for your own workflow.
Special attention is given to advanced features: AGENTS.md files, reusable agent skills, prompt templates, packages, subagents, extensions, task management, session cloning and forking, session trees, summarization, and context compaction.
What You Will Learn
After completing the course, you will be able to transform Pi into a full-fledged coding agent, tailored to your development style, project requirements, and level of control needed.
Installing and Configuring Pi
You will install Pi, connect a supported AI model, understand model selection and reasoning levels, and learn to manage global and project settings.
Working Safely with Pi
You will understand Pi’s security model, learn to consciously use trust in projects, restrict available tools, and, if necessary, run Pi in a Docker container for additional isolation.
Using Pi in Daily Development
You will learn how to pass the necessary files and instructions to the agent, work with the terminal, execute commands, plan tasks before implementation, and get better answers through proper context management.
Configuring Agent Behavior through AGENTS.md
You will master local and global AGENTS.md files to set rules, constraints, work style, project specifics, and constant instructions for different codebases and sessions.
Extending Pi with Packages and Skills
You will explore useful packages that add web access, additional constraints, and subagents, as well as create your own reusable agent skills and prompt templates for recurring tasks.
Creating Pi Extensions
You will move from configuration to customization: learn to develop Pi extensions that can add new tools, commands, interface elements, permission checks, and other features.
Managing Sessions and Large Contexts
You will learn to queue tasks, resume work, clone and fork sessions, navigate session trees, and use summarization and compaction for effective work with long context chains.
What’s Included in the Program
- Pi installation and initial configuration.
- Connecting an AI model via subscription, API key, or local model.
- Model selection and reasoning level configuration.
- Global and project settings for Pi.
- Security model, project trust, and tool constraints.
- Running Pi in Docker for additional isolation.
- Working with files, terminal, and tasks within the project.
- Planning work without built-in Plan Mode.
- Context and answer quality management.
- Using local and global
AGENTS.mdfiles. - Installation and use of packages, subagents, and additional tools.
- Creating your own agent skills and reusable prompt templates.
- Developing Pi extensions.
- Cloning, forking, session trees, summarization, and context compaction.
Practical Outcome
By the end of the course, you will confidently use Pi not as an experimental chat tool but as a working AI coding agent for development. You will be able to adapt it to a specific project, set behavior rules, restrict access, add new features, and build a sustainable process for working with long tasks and large context.
Requirements
- Basic programming experience and understanding of code project workflows.
- Pi installed or willingness to install it during the course.
- Access to a supported AI model — via subscription, API key, or local model.
- No prior experience with Pi is required.
Who This Course Is For
For Beginner Pi Users
This course is suitable if you want a clear path from installation and basic setup to confident use of Pi in real development tasks.
For AI Coding Agent Users
If you have already worked with tools like Claude Code, Codex, or other programming AI agents, this course will help you evaluate Pi as a more minimalistic and flexible alternative.
For Developers Needing More Control
The course will be useful if you want to go beyond ordinary prompting and build your own AI agent configuration with packages, skills, prompt templates, extensions, and advanced session management.
For Teams and Technical Specialists
The material is also suitable for those who want to standardize AI agent work in projects, define rules through AGENTS.md, limit available actions, and make using Pi more predictable and secure.