📁 Subsystem Deep Dive

commands/pr_comments/

📁 commands/pr_comments/ 📄 6 files

Tutorial: pr_comments

This project serves as a modular plugin designed to fetch and display review comments from a GitHub Pull Request. Instead of using traditional hard-coded logic, it acts as a bridge that generates a natural language prompt, instructing an AI assistant to retrieve raw data using the gh CLI tool and present it in a readable, formatted Markdown conversation thread.

flowchart TD A0["Plugin Migration Wrapper"] A1["Command Configuration"] A2["AI Prompt Generation"] A3["GitHub Data Retrieval Strategy"] A4["Output Formatting Specification"] A0 -->|"Registers"| A1 A1 -->|"Defines behavior"| A2 A2 -->|"Instructs data fetching"| A3 A2 -->|"Instructs formatting"| A4

Chapters

  1. Plugin Migration Wrapper
  2. Command Configuration
  3. AI Prompt Generation
  4. GitHub Data Retrieval Strategy
  5. Output Formatting Specification

Generated by Code IQ

Files in this section

01_plugin_migration_wrapper.md
Chapter 1: Plugin Migration Wrapper
Welcome to the first chapter of our tutorial! We are going to build a feature called pr-comments. This tool helps fetch…
02_command_configuration.md
Chapter 2: Command Configuration
In Chapter 1: Plugin Migration Wrapper, we built a "shipping container" for our code. We learned that the wrapper holds…
03_ai_prompt_generation.md
Chapter 3: AI Prompt Generation
In the previous chapter, Command Configuration, we gave our plugin an identity (an "ID Card"). The system now knows the…
04_github_data_retrieval_strategy.md
Chapter 4: GitHub Data Retrieval Strategy
In the previous chapter, Chapter 3: AI Prompt Generation, we acted as the "Head Chef." We wrote a recipe (the Prompt) t…
05_output_formatting_specification.md
Chapter 5: Output Formatting Specification
Welcome to the final chapter of our tutorial!