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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.
- 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 installation and executing the first run.
Core Workflow in the Terminal
- How Pi Coding Agent reads, edits, and assists in managing files.
- Running development tasks via the terminal workflow.
- Working iteratively with short feedback loops.
Prompting for Better Results
- Writing 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 accepting them.
Validation and Troubleshooting
- Using Pi Coding Agent to support testing and verify results.
- 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
- Foundational understanding of software development concepts.
- Experience using the command line and common developer tools.
- Basic programming experience in any modern language.
Audience
- Developers aiming to accelerate coding tasks with an AI coding agent.
- Technical leads seeking a practical workflow for team adoption.
- DevOps engineers and power users operating within terminal-based environments.
