architecture-to-issues
Installation
SKILL.md
Architecture to Issues
Stage: Phase 2 — Design the System
Purpose
Use this skill to break a PRD and architecture plan into small, ordered implementation issues that AI agents or students can work on one at a time.
Shared Principles
These skills are based on two YouTube talks about AI-native software engineering, interpreted through ATL’s own teaching perspective.
- Shift left on intent: clarify goals, users, constraints, tradeoffs, and success before coding.
- Delegate tasks, not judgment: AI may draft, compare, or implement; the student remains responsible for decisions.
- Verification is the bottleneck: every output must include checks, acceptance criteria, or evidence.
- No vibe coding: do not jump from idea directly to generated code without intent, design, and review.
- Small loops beat big guesses: move one step at a time, verify, then continue.
- AI amplifies the system: unclear intent creates faster confusion; clear intent creates faster learning.