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Course Outline

Introduction to the Pi Coding Agent

  • Understanding what Pi Coding Agent is and its place in daily development activities
  • 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 the installation and performing the initial run

Core Workflow in the Terminal

  • How Pi Coding Agent reads, edits, and assists in managing files
  • Executing development tasks via the terminal workflow
  • Working iteratively with short feedback cycles

Prompting for Enhanced Results

  • Drafting clear requests for coding, debugging, and explanation tasks
  • Breaking down larger tasks into manageable steps
  • Refining outputs through follow-up prompts

Using Pi for Daily Development Tasks

  • Generating small features, helper functions, and boilerplate code
  • Safely refactoring and editing existing code
  • Reviewing suggested changes before acceptance

Validation and Troubleshooting

  • Utilising Pi Coding Agent to support testing and verify results
  • Identifying errors and making precise corrections
  • Resolving 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 using the tool responsibly
  • Developing a simple, repeatable workflow for team utilisation

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 principles
  • Experience operating the command line and using standard developer tools
  • Basic programming proficiency in any contemporary language

Audience

  • Developers seeking to expedite coding tasks using an AI coding agent
  • Technical leads aiming for a practical workflow to facilitate team adoption
  • DevOps engineers and advanced users operating within terminal-based environments
 7 Hours

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