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Course Outline

Introduction to Pi Coding Agent

  • What Pi Coding Agent is and where it fits in day-to-day development
  • Typical 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 the installation and first run

Core Workflow in the Terminal

  • How Pi Coding Agent reads, edits, and helps manage files
  • Running 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 for Everyday Development Tasks

  • Generating small features, helper functions, and boilerplate
  • Refactoring and editing existing code safely
  • Reviewing suggested changes before accepting them

Validation and Troubleshooting

  • Using Pi Coding Agent to support testing and checking results
  • Identifying errors and making focused corrections
  • Solving common setup, provider, and output quality issues

Safe and Effective Team Adoption

  • Setting 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 projects
  • Identifying next steps for continued practice and adoption

Requirements

  • Basic understanding of software development concepts
  • Experience using the command line and common developer tools
  • Basic programming experience in any modern language

Audience

  • Developers who want to speed up coding tasks with an AI coding agent
  • Technical leads who want a practical workflow for team adoption
  • DevOps engineers and power users who work in terminal-based environments
 7 Hours

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