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Duration 7 hours
Course Outline
Introduction to Pi Coding Agent
- Understanding what Pi Coding Agent is and its integration into daily development routines.
- Exploring typical use cases for both individual contributors and entire teams.
- Discussing strengths, limitations, and setting realistic expectations.
Setup and Environment Preparation
- Preparing the terminal and overall development environment.
- Installing Pi Coding Agent.
- Connecting to a supported AI provider.
- Verifying installation success and executing the first run.
Core Workflow in the Terminal
- How Pi Coding Agent reads, edits, and manages files.
- Executing development tasks directly from the terminal workflow.
- Engaging in iterative work with rapid feedback loops.
Prompting for Enhanced Outcomes
- Crafting clear requests for coding, debugging, and explanatory tasks.
- Decomposing complex tasks into manageable steps.
- Refining outputs through follow-up prompts.
Leveraging Pi for Daily Development Tasks
- Generating small features, helper functions, and boilerplate code.
- Safely refactoring and editing existing code.
- Reviewing suggested changes prior to acceptance.
Validation and Troubleshooting
- Utilizing Pi Coding Agent to aid in testing and result verification.
- Identifying errors and applying targeted corrections.
- Resolving common setup, provider connectivity, and output quality issues.
Safe and Effective Team Adoption
- Establishing guardrails for code quality, review processes, and approval chains.
- Protecting sensitive data and ensuring responsible tool usage.
- Designing a simple, repeatable workflow for team implementation.
Summary and Next Steps
- Reviewing key skills and practical takeaways.
- Planning the application of Pi Coding Agent in actual projects.
- Identifying next steps for ongoing practice and adoption.
Requirements
- Fundamental knowledge of software development principles.
- Proficiency with the command line and standard developer tools.
- Basic programming experience in any modern programming language.
Target Audience
- Developers seeking to expedite coding tasks using an AI assistant.
- Technical leads interested in adopting a practical workflow for their teams.
- DevOps engineers and power users operating within terminal-centric environments.
