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Duration 7 hours
Course Outline
Introduction to Pi Coding Agent
- Defining Pi Coding Agent and its place in daily development routines
- Common use cases for both individual developers and teams
- Understanding strengths, limitations, and realistic performance expectations
Setup and Environment Configuration
- Preparing the terminal and development environment
- Installing the Pi Coding Agent
- Establishing connections with supported AI providers
- Validating the installation and performing initial runs
Core Terminal Workflow
- How the agent reads, edits, and assists with file management
- Executing development tasks via the terminal interface
- Employing iterative methods with short feedback loops
Prompt Engineering for Optimal Results
- Crafting clear instructions for coding, debugging, and explanation tasks
- Decomposing complex tasks into manageable steps
- Refining outputs through targeted follow-up prompts
Applying Pi to Routine Development Tasks
- Generating small features, helper functions, and boilerplate code
- Safely refactoring and editing existing codebases
- Evaluating suggested changes prior to acceptance
Validation and Troubleshooting
- Leveraging the agent to support testing and result verification
- Diagnosing errors and implementing precise corrections
- Resolving common issues related to setup, providers, and output quality
Safe and Efficient Team Adoption
- Establishing guardrails for code quality, review, and approval processes
- Safeguarding sensitive data and using the tool responsibly
- Developing a simple, repeatable workflow for team utilization
Summary and Future Directions
- Recap of key skills and practical insights
- Strategizing the application of Pi Coding Agent in real-world projects
- Identifying next steps for continued practice and broader adoption
Requirements
- Familiarity with fundamental software development concepts
- Proficiency with command-line interfaces and standard developer tools
- Basic programming experience in any contemporary language
Target Audience
- Developers seeking to enhance coding efficiency using an AI agent
- Technical leads aiming to implement practical workflows for team integration
- DevOps engineers and advanced users accustomed to terminal-based environments
