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ai-pdlc

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UpdatedJuly 5, 2026 at 10:55

Run an AI-augmented Product Development Lifecycle that treats every phase as a hypothesis to test, not a deliverable to push: research, hypothesis, plan-by-phases, prototype, validate, implement under TDD, harden against the matching security track (OWASP/MASVS) and CVE risk, and ship with rollback and post-launch evaluation. Use as the strategic spine when a project is greenfield, a brownfield refactor, an experiment, or a feature whose value is not yet proven; cooperates with sdlc-orchestrator (operational chain) and hypothesis-validator (evidence).

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SKILL.md
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