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Duration 7 hours
Course Outline
Introduction to Pi Coding Agent
- Understanding what Pi Coding Agent is and its position in daily development
- Common use cases for individual contributors and teams
- Strengths, limitations, and setting realistic expectations
Setup and Environment Preparation
- Preparing the terminal and development workspace
- Installing Pi Coding Agent
- Connecting to a supported AI provider
- Verifying installation and executing the initial run
Core Workflow in the Terminal
- How Pi Coding Agent reads, edits, and manages files
- Executing development tasks via terminal workflow
- Iterative work with rapid feedback loops
Prompting for Optimal Results
- Crafting clear instructions for coding, debugging, and explanatory tasks
- Decomposing complex tasks into manageable steps
- Refining outputs through iterative prompting
Leveraging Pi for Daily Development Tasks
- Generating small features, helper functions, and boilerplate code
- Safe refactoring and editing of existing code
- Reviewing suggested changes before acceptance
Validation and Troubleshooting
- Utilizing Pi Coding Agent to support testing and result verification
- Identifying errors and performing targeted corrections
- Resolving common issues related to setup, providers, and output quality
Safe and Effective Team Adoption
- Establishing guardrails for code quality, review, and approval processes
- Protecting sensitive data and promoting responsible tool usage
- Developing a simple, repeatable workflow for team implementation
Summary and Next Steps
- Reviewing key skills and practical takeaways
- Planning strategies for applying Pi Coding Agent in real-world projects
- Identifying paths for continued practice and broader adoption
Requirements
- Fundamental understanding of software development principles
- Proficiency with the command line and standard developer tools
- Foundational programming experience in any contemporary language
Audience
- Developers seeking to accelerate coding tasks using an AI assistant
- Technical leads aiming to implement practical workflows for team integration
- DevOps engineers and advanced users operating within terminal-centric environments