sdlc-guide

What problem does it solve?

It explains how the AI Registry SDLC workflow operates, including routing between planning and execution, phase ordering, agent roles, validation gates, checkpoint/resume behavior, and troubleshooting when the SDLC gets stuck or errors.

Core Features & Use Cases

• Clarifies lifecycle flow: Describes how the Coordinator routes requests to the Planning Hub or Execution Hub, and what each phase is responsible for.
• Guides checkpoint/resume: Explains how /sdlc-continue works and how checkpoint state relates to artifacts on disk.
• Troubleshoots validation and stuck states: Covers what to do when validation fails, when an agent crashes mid-task, and how recovery decisions are made.
• Supports change management: Provides the brownfield re-planning protocol, including impact analysis and minimum re-dispatch rules.
• Defines agent responsibilities: Documents orchestrators and subagents so users can answer “what happens next” and “what does agent X do?”

Quick Start

Ask the AI: “How do I continue my SDLC workflow after an interruption, and what should I check if validation fails?”