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Duration 7 hours
Course Outline
Introduction to Pi Coding Agent
- An overview of Pi Coding Agent and its place in daily development routines.
- Common use cases for individual contributors and teams.
- Capabilities, limitations, and setting realistic expectations.
Setup and Environment Preparation
- Preparing the terminal and development workspace.
- Installing Pi Coding Agent.
- Establishing connections with supported AI providers.
- Verifying successful installation and performing the initial run.
Core Terminal Workflow
- Understanding how Pi Coding Agent reads, edits, and manages files.
- Executing development tasks directly from the terminal workflow.
- Iterative working methods with rapid feedback cycles.
Optimizing Prompts for Superior Outcomes
- Crafting clear instructions for coding, debugging, and explanation requests.
- Decomposing complex tasks into manageable steps.
- Refining AI outputs through iterative follow-up prompts.
Leveraging Pi for Daily Development Tasks
- Generating minor features, utility functions, and boilerplate code.
- Safely refactoring and editing existing codebases.
- Reviewing suggested changes before acceptance.
Validation and Troubleshooting
- Utilizing Pi Coding Agent to support testing and verify results.
- Identifying errors and applying targeted corrections.
- Resolving common issues related to setup, providers, and output quality.
Safe and Effective Team Adoption
- Establishing guardrails for code quality, review processes, and approvals.
- Safeguarding sensitive data and promoting responsible tool usage.
- Developing a simple, repeatable workflow for team deployment.
Summary and Next Steps
- Recapping key skills and practical takeaways.
- Strategizing the application of Pi Coding Agent in live projects.
- Identifying paths for continued practice and adoption.
Requirements
- Fundamental understanding of software development principles.
- Proficiency in using the command line interface and standard developer tools.
- Basic programming experience in any contemporary language.
Audience
- Developers aiming to enhance coding speed through an AI-powered agent.
- Tech leads seeking practical strategies for team-wide adoption.
- DevOps engineers and advanced users operating within terminal-centric environments.