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Duration 7 hours
Course Outline
Introduction to Pi Coding Agent
- Understanding what Pi Coding Agent is and its place in daily development.
- Common use cases for individual developers and teams.
- Strengths, limitations, and 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 conducting the first run.
Core Workflow in the Terminal
- How Pi Coding Agent reads, edits, and assists in managing files.
- Executing development tasks within the terminal workflow.
- I working iteratively with short feedback loops.
Prompting for Better Results
- Formulating clear requests for coding, fixing, and explanation tasks.
- Breaking down larger tasks into manageable steps.
- Refining outputs through follow-up prompts.
Using Pi for Everyday Development Tasks
- Generating small features, helper functions, and boilerplate code.
- Safely refactoring and editing existing code.
- Reviewing suggested changes before acceptance.
Validation and Troubleshooting
- Utilizing Pi Coding Agent to support testing and result verification.
- Identifying errors and implementing focused corrections.
- Addressing common setup, provider, and output quality issues.
Safe and Effective Team Adoption
- Establishing guardrails for code quality, review, and approval processes.
- Protecting sensitive information and ensuring responsible tool usage.
- Creating a simple, repeatable workflow for team adoption.
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 standard developer tools.
- Basic programming proficiency in any modern language.
Audience
- Developers seeking to accelerate coding tasks with an AI coding agent.
- Technical leads aiming to establish practical workflows for team adoption.
- DevOps engineers and power users operating in terminal-based environments.
