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AI-Native SDLC Playbook L2: intent.md Turns Requirements into Version-Controlled Documents

Traditional requirements scatter across Jira, Slack, and meeting notes, losing fidelity at every handoff. intent.md lets the originator collaborate directly with Claude to produce a human-readable, machine-actionable, version-controlled Markdown proto-spec — from conversation to committed document in hours, not weeks.

AI-Native SDLC Playbook L3: Requirements and Design Collapse into One Session

Traditionally, requirements analysis and design are separate phases run by different teams — every handoff loses information. This lesson's approach: Claude reads intent.md in a single session, applies organizational standards (brand, security, compliance, UX loaded as skills), and produces a unified spec.md. The product owner reviews; they don't author.