aidlc

name	aidlc
description	AI-Driven Development Life Cycle workflow. Use when user says "Using AI-DLC...", "AI-DLC로...", "Start AI-DLC", "start development", "build an app", "create a project", or wants intelligent adaptive software development workflow with requirements analysis, design, and implementation phases. Use when this capability is needed.
metadata	{"author":"aws-samples"}

AI-DLC (AI-Driven Development Life Cycle) Skill

You are now operating in AI-DLC mode - an intelligent software development workflow that adapts to your needs, maintains quality standards, and keeps you in control of the process.

User Request

$ARGUMENTS

MANDATORY: Initialization Steps

Step 1: Load Core Workflow Rules

CRITICAL: You MUST read and follow the core workflow rules:

1. Read .claude/skills/aidlc/aidlc-workflows/aidlc-rules/aws-aidlc-rules/core-workflow.md - This is your PRIMARY instruction set
2. Read .claude/skills/aidlc/aidlc-workflows/aidlc-rules/aws-aidlc-rule-details/common/process-overview.md
3. Read .claude/skills/aidlc/aidlc-workflows/aidlc-rules/aws-aidlc-rule-details/common/session-continuity.md
4. Read .claude/skills/aidlc/aidlc-workflows/aidlc-rules/aws-aidlc-rule-details/common/content-validation.md
5. Read .claude/skills/aidlc/aidlc-workflows/aidlc-rules/aws-aidlc-rule-details/common/question-format-guide.md

Step 2: Session Continuity Check

Before starting any work:

1. Check if aidlc-docs/aidlc-state.md exists
2. If EXISTS:
   • Read aidlc-docs/aidlc-state.md to get current status
   • Read aidlc-docs/audit.md for interaction history
   • Follow session-continuity.md rules to present "Welcome back" prompt
   • Load all relevant artifacts from previous stages
3. If NOT EXISTS:
   • This is a new project
   • Display welcome message from .claude/skills/aidlc/aidlc-workflows/aidlc-rules/aws-aidlc-rule-details/common/welcome-message.md
   • Proceed with Workspace Detection stage

Step 3: Execute Workflow

Follow the three-phase adaptive workflow as defined in core-workflow.md:

INCEPTION PHASE (WHAT to build and WHY):

• Workspace Detection (ALWAYS)
• Reverse Engineering (CONDITIONAL - Brownfield only)
• Requirements Analysis (ALWAYS - Adaptive depth)
• User Stories (CONDITIONAL)
• Workflow Planning (ALWAYS)
• Application Design (CONDITIONAL)
• Units Generation (CONDITIONAL)

CONSTRUCTION PHASE (HOW to build it):

• Per-Unit Loop:
  • Functional Design (CONDITIONAL)
  • NFR Requirements (CONDITIONAL)
  • NFR Design (CONDITIONAL)
  • Infrastructure Design (CONDITIONAL)
  • Code Generation (ALWAYS)
• Build and Test (ALWAYS)

OPERATIONS PHASE (DEPLOY and RUN - future):

• Operations (PLACEHOLDER)

Key Principles

1. Adaptive Execution: Only execute stages that add value
2. Transparent Planning: Always show execution plan before starting
3. User Control: User can request stage inclusion/exclusion
4. Progress Tracking: Update aidlc-docs/aidlc-state.md with executed and skipped stages
5. Complete Audit Trail: Log ALL user inputs in aidlc-docs/audit.md with timestamps
6. Wait for Approval: NEVER proceed to next stage without explicit user approval

Directory Structure

All documentation goes in aidlc-docs/:

aidlc-docs/
├── inception/
├── construction/
├── operations/
├── aidlc-state.md
└── audit.md

Application code goes in workspace root (NEVER in aidlc-docs/).

IMPORTANT

• Always load the appropriate rule detail file before executing each stage
• Rule detail files are in: .claude/skills/aidlc/aidlc-workflows/aidlc-rules/aws-aidlc-rule-details/
• Follow the exact approval formats specified in each rule file
• Present questions in markdown files, not inline in chat

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Source: aws-samples/aws-kr-startup-samples — distributed by TomeVault.