CoLearning Programming & Agentic AI with Python and TypeScript: The AI-Driven Way
NawazAliShah/ai-native-software-development
Agent Claude Code
Use this agent when an approved chapter specification is ready to be broken down into a detailed implementation plan. This agent transforms high-level chapter requirements into lesson-by-lesson architecture and actionable task checklists.\n\nExamples:\n\n- Example 1: Spec-to-Plan Transition\n Context: User has…
NawazAliShah/ai-native-software-development
Agent Claude Code
Use this agent when you need to implement actual lesson content as part of the Spec-Driven Development (SDD) execute phase. This agent should be invoked after a lesson plan has been created by the chapter-planner agent and you're ready to write the concrete markdown content for a specific lesson.\n\n \nContext: User…
NawazAliShah/ai-native-software-development
Agent Claude Code
Use this agent when:\n\n1. After completing a single lesson - To validate individual lesson quality, accuracy, and alignment with specifications before moving to the next lesson\n\n2. After completing all lessons in a chapter - To perform comprehensive chapter-level validation ensuring coherence, flow, and publication…
NawazAliShah/ai-native-software-development
Agent Claude Code
Use this agent when a chapter for the CoLearning Python book is complete and ready for validation before publication. The agent executes the Validate phase of the SpecKit SDD loop, checking technical correctness, code quality, pedagogical effectiveness, and constitution alignment.\n\nExamples:\n\n \nContext: A chapter…
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