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Duration 7 hours
Course Outline
Introduction to Pi Coding Agent
- Understanding what Pi Coding Agent is and its place in day-to-day development
- Typical use cases for individual developers and teams
- Strengths, limitations, and setting realistic expectations
Setup and Environment Preparation
- Preparing the terminal and development environment
- Installing Pi Coding Agent
- Connecting to a supported AI provider
- Verifying the installation and performing the first run
Core Workflow in the Terminal
- How Pi Coding Agent reads, edits, and helps manage files
- Executing development tasks from the terminal workflow
- Working iteratively with short feedback loops
Prompting for Better Results
- Writing clear requests for coding, fixing, and explanation tasks
- Breaking larger tasks into manageable steps
- Refining outputs through follow-up prompts
Using Pi Coding Agent for Everyday Development Tasks
- Generating small features, helper functions, and boilerplate code
- Refactoring and editing existing code safely
- Reviewing suggested changes before acceptance
Validation and Troubleshooting
- Leveraging Pi Coding Agent to support testing and result verification
- Identifying errors and making focused corrections
- Solving common setup, provider, and output quality issues
Safe and Effective Team Adoption
- Establishing guardrails for code quality, review, and approval
- Protecting sensitive information and using the tool responsibly
- Creating a simple, repeatable workflow for team use
Summary and Next Steps
- Reviewing key skills and practical takeaways
- Planning how to apply Pi Coding Agent in real-world projects
- Identifying next steps for continued practice and adoption
Requirements
- Fundamental understanding of software development concepts
- Experience using the command line and common developer tools
- Basic programming experience in any modern language
Audience
- Developers seeking to accelerate coding tasks with an AI coding agent
- Technical leads aiming for a practical workflow to facilitate team adoption
- DevOps engineers and power users operating within terminal-based environments
