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Duration 7 hours
Course Outline
Introduction to Pi Coding Agent
- Understanding Pi Coding Agent and its place in daily development
- Common 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 installation and performing the first run
Core Workflow in the Terminal
- How Pi Coding Agent reads, edits, and assists with file management
- Executing development tasks through terminal workflows
- Iterative work processes with rapid feedback loops
Prompting for Optimized Results
- Crafting clear requests for coding, debugging, and explanatory tasks
- Dividing complex tasks into manageable steps
- Refining outputs through subsequent prompts
Applying Pi to Everyday Development Tasks
- Generating small features, helper functions, and boilerplate code
- Safely refactoring and editing existing code
- Reviewing suggested changes prior to acceptance
Validation and Troubleshooting
- Leveraging Pi Coding Agent to support testing and result verification
- Identifying errors and applying targeted corrections
- Resolving common setup, provider, and output quality challenges
Safe and Effective Team Adoption
- Establishing guardrails for code quality, review, and approval processes
- Protecting sensitive data and ensuring responsible tool usage
- Developing a simple, repeatable workflow for team utilization
Summary and Next Steps
- Reviewing key skills and practical takeaways
- Planning the application of Pi Coding Agent in real-world projects
- Identifying pathways for continued practice and adoption
Requirements
- Fundamental understanding of software development principles
- Proficiency in using the command line and standard developer tools
- Basic programming experience with any modern language
Audience
- Developers seeking to expedite coding tasks via an AI-powered agent
- Technical leads aiming for a practical workflow to support team adoption
- DevOps engineers and power users operating primarily in terminal-based environments
