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Duration 7 hours
Course Outline
Introduction to the Pi Coding Agent
- Defining the Pi Coding Agent and its place in daily development activities
- Common applications for individual developers and collaborative teams
- Key strengths, inherent limitations, and setting realistic expectations
Installation and Environment Configuration
- Preparing the terminal setup and development environment
- Installing the Pi Coding Agent
- Linking to a compatible AI provider
- Confirming installation success and executing the first session
Core Terminal Workflow
- Understanding how the agent reads, modifies, and manages files
- Executing development tasks directly from the terminal
- Employing iterative work with rapid feedback cycles
Enhancing Results Through Prompting
- Crafting precise instructions for coding, debugging, and explanatory tasks
- Decomposing complex objectives into manageable steps
- Iterating and refining outputs via follow-up prompts
Applying Pi to Routine Development Tasks
- Creating small features, utility functions, and boilerplate code
- Safely refactoring and editing existing codebases
- Scrutinizing proposed changes prior to acceptance
Verification and Troubleshooting
- Utilizing the agent to assist with testing and result validation
- Pinpointing errors and applying targeted fixes
- Resolving typical issues related to setup, providers, and output accuracy
Responsible Team Adoption
- Establishing guardrails for code quality, review processes, and approvals
- Safeguarding sensitive data and using the tool responsibly
- Designing a simple, repeatable workflow for team utilization
Recap and Future Steps
- Summarizing key skills and practical insights gained
- Strategizing the application of the Pi Coding Agent in live projects
- Identifying subsequent steps for ongoing practice and broader adoption
Requirements
- A foundational grasp of core software development principles
- Familiarity with command-line interfaces and standard developer utilities
- Basic programming proficiency in any contemporary language
Target Audience
- Developers seeking to accelerate coding tasks via an AI-powered assistant
- Technical leads aiming to establish practical workflows for team-wide adoption
- DevOps engineers and advanced users operating primarily within terminal-based environments