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By mateon01
AI-DLC (AI-Driven Development Life Cycle) - A structured, adaptive software development workflow for Claude Code
npx claudepluginhub mateon01/aidlc-for-claude --plugin aidlc-for-claudeAI-DLC: Application Design
AI-DLC: Build and Test - includes CGIG compilation repair when enabled
AI-DLC: CI Setup - Generate CI/CD pipelines, PR review workflows, and issue/PR templates for any project
AI-DLC: Code Generation
AI-DLC: Functional Design
AI-DLC INCEPTION Stage 6: Application Design - High-level component identification and service layer design
AI-DLC CONSTRUCTION Stage 6: Build and Test - Builds, tests, and validates all completed units with actual execution
AI-DLC CI Setup: Generates CI/CD pipelines, PR review workflows, and GitHub issue/PR templates for any project
AI-DLC CONSTRUCTION Stage 5 Part 2: Code Generation Execution - Executes approved code plan to generate code and tests
AI-DLC CONSTRUCTION Stage 5 Part 1: Code Generation Planning - Creates detailed code generation plan per unit
Uses power tools
Uses Bash, Write, or Edit tools
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AI-Driven Development Lifecycle - a structured, adaptive software development methodology guided by AI
Complete SDLC framework with 58 specialized agents for software development lifecycle management. Phase-based workflows (Inception→Elaboration→Construction→Transition), security reviews, testing orchestration, and deployment automation.
AI-powered development workflow automation - Phase-based planning, implementation orchestration, preflight code quality checks with security scanning, ship-it workflow, and development principles generator for CLAUDE.md
End-to-end development workflow: design → draft-plan → orchestrate → review → pr-create → pr-review → pr-merge
Plugin de ingeniería de software completa: 10 agentes de núcleo y 9 opcionales con personalidad propia, memoria persistente por proyecto, quality gates y flujos automatizados desde la idea hasta producción.
Use Claude Code As Is - native plugin leveraging built-in architecture
A Claude Code plugin that implements the AI-DLC (AI-Driven Development Life Cycle) methodology -- a structured, adaptive software development workflow that guides AI assistants through disciplined three-phase development.
AI-DLC intelligently adapts to your project: simple changes execute only essential stages, while complex projects receive comprehensive treatment with full safeguards.
Documentation | Apache-2.0 License
In the Claude Code chat, run these two commands:
/plugin marketplace add mateon01/aidlc-for-claude
/plugin install aidlc-for-claude
/aidlc
That's it. The orchestrator detects your workspace (greenfield or brownfield), gathers requirements through interactive Q&A, and walks through each phase with you. Every stage requires your approval before proceeding.
To run a specific stage independently:
/aidlc-requirements-analysis
/aidlc-code-generation
AI-DLC has three phases. Each phase contains stages that may execute conditionally based on your project's needs.
+-----------------------------------------------------------------------+
| INCEPTION (WHAT and WHY) |
| |
| Workspace Detection --> [Scope Assessment (brownfield)] |
| --> Reverse Engineering --> Requirements Analysis |
| --> User Stories --> Workflow Planning --> Application Design |
| --> Units Generation |
+-----------------------------------+-----------------------------------+
|
v
+-----------------------------------------------------------------------+
| CONSTRUCTION (HOW) |
| |
| System NFR Assessment --> |
| FOR each unit (sequential or parallel): |
| Functional Design --> NFR Requirements --> NFR Design |
| --> Infrastructure Design --> Code Generation |
| |
| Build and Test (after all units) + security scan + coverage |
| Operations (CI/CD, PR Review, Dockerfile, .env, README, deploy) |
+-----------------------------------+-----------------------------------+
|
v
+-----------------------------------------------------------------------+
| OPERATIONS (SHIP) |
| |
| Deployment Checklist --> CI/CD Pipeline --> Dockerfile |
| --> .env Template --> Developer README --> Verification Script |
+-----------------------------------------------------------------------+
Not every stage runs every time. After Workflow Planning, an execution plan determines which stages are needed:
| Condition | Stages Executed |
|---|---|
| Simple bug fix | Workspace Detection, Requirements, Workflow Planning, Code Generation, Build and Test |
| Simple brownfield (fast path) | Workspace Detection, Reverse Engineering, Workflow Planning (minimal), Code Generation, Build and Test |
| New feature (greenfield) | All INCEPTION + all CONSTRUCTION stages |
| Brownfield modification | Adds Reverse Engineering, adapts scope based on existing codebase |
| Infrastructure-only change | Skips User Stories, Functional Design; includes Infrastructure Design |
You can override any recommendation at the Workflow Planning approval gate.