Agentic SDLC

Transform your IDE into a complete Software Development Lifecycle team with AI-powered agents, automated workflows, and intelligent knowledge management.

🎯 What is Agentic SDLC?

Agentic SDLC is an AI-powered development framework that simulates a complete software development team within your IDE. It provides:

• 14 Specialized AI Roles - PM, BA, SA, UI/UX, QA, Security, Dev, DevOps, Tester, Reporter, and more
• 18 Automated Workflows - From planning to deployment with /slash commands
• Intelligent Brain System - 3-Layer architecture with state management and self-learning
• Multi-Agent Teams - AutoGen-powered autonomous agent collaboration
• Cross-IDE Compatibility - Works with Cursor, Windsurf, Cline, Aider, Gemini, and any AI-powered IDE
• Monorepo Architecture - Shared brain system across multiple projects

🧠 The Brain System

At the core of Agentic SDLC is the Brain - an intelligent knowledge management system that:

• Learns from every task - Automatically captures patterns from bugs, features, and solutions
• Provides recommendations - Suggests approaches based on past successes
• Builds knowledge graphs - Maps relationships between skills, technologies, and solutions
• Enables compound intelligence - Each project's knowledge benefits all others

→ See GEMINI.md for complete Brain documentation

✨ Quick Start

Installation

# Install globally
npm install -g agentic-sdlc

# Or with bun
bun install -g agentic-sdlc

Installation from Source (GitHub)

If you prefer to run directly from source or update frequently:

# Clone repository
git clone https://github.com/truongnat/agentic-sdlc.git
cd agentic-sdlc

# Install dependencies
bun install  # or npm install

keeping Updated

If you installed from source, use the built-in updater:

# Check and install updates
python tools/infrastructure/update/updater.py

Create New Project

# Create project with brain system
agentic-sdlc create my-project
cd my-project

# Setup your IDE
agentic-sdlc ide cursor  # or windsurf, cline, etc.

# Start building
/pm Build a todo app with authentication

Add to Existing Project

# Install brain system in current directory
agentic-sdlc install

# Setup IDE integration
agentic-sdlc ide cursor

# Initialize knowledge base
agentic-sdlc init-kb

🚀 Core Features

1. AI Role System (14 Roles)

Specialized AI agents for every SDLC phase:

Planning    → @PM, @BA, @PO
Design      → @SA, @UIUX
Review      → @QA, @SECA
Development → @DEV, @DEVOPS
Testing     → @TESTER
Delivery    → @REPORTER, @STAKEHOLDER
Meta        → @BRAIN, @ORCHESTRATOR

2. Slash Commands (18 Workflows)

Execute complete workflows with simple commands:

/brain           # Brain system management (sync, stats)
/cycle           # Complete task lifecycle
/explore         # Deep investigation
/orchestrator    # Full SDLC automation
/sprint          # Sprint management
/validate        # System validation
/metrics         # View metrics dashboard
/release         # Release management
/emergency       # Critical incident response
/housekeeping    # Cleanup & maintenance
/review          # Code review workflow (NEW)
/debug           # Systematic debugging (NEW)
/refactor        # Safe refactoring (NEW)
/onboarding      # Agent ramp-up (NEW)
/docs            # Documentation creation (NEW)
/commit          # Smart git commit (NEW)
/worktree        # Parallel AI agent workflows (NEW)
/autogen         # Multi-agent task execution (NEW)

3. Monorepo Architecture

agentic-sdlc/              # 🧠 Brain (Root)
├── .agent/                # AI workflows, skills, KB
├── tools/                 # Neo4j, research, utilities
├── docs/                  # Documentation
└── projects/              # Your projects
    ├── project-1/
    ├── project-2/
    └── [add-yours]/

Benefits:

• ✅ Shared brain across all projects
• ✅ Compound learning from every solution
• ✅ Consistent workflows and quality
• ✅ Centralized knowledge management

4. Knowledge Management

Automated Learning:

• Records error patterns and solutions
• Captures successful implementation approaches
• Builds skill and technology graphs
• Provides context-aware recommendations

Three-Layer System:

1. LEANN - Vector-based semantic search
2. Neo4j - Knowledge graph with relationships
3. File-based KB - Categorized markdown entries

📖 Documentation

Getting Started

• GEMINI.md - Complete brain system guide (IDE-agnostic)
• Quick Start - 5-minute setup guide
• CLI Examples - Command usage examples

Architecture

• Monorepo Architecture - System design
• Project Structure - Directory organization
• Documentation Index - All docs

Tools & Setup

• Neo4j Tools - Knowledge graph system
• Research Agent - Automated research
• MCP Setup - Model Context Protocol

🎯 Use Cases

Solo Developer

/auto Create a SaaS platform with authentication and billing
# Complete automation from planning to deployment

Team Development

# Each team member uses the same brain
agentic-sdlc ide all
git pull  # Share knowledge base
/pm Start Sprint 3

Existing Large Project

agentic-sdlc install
/brain  # Index and analyze codebase
/pm Migrate authentication to OAuth2

🔧 Available Commands

# Project Management
agentic-sdlc create <name>      # Create new project
agentic-sdlc install            # Add to existing project

# IDE Integration
agentic-sdlc ide cursor         # Setup Cursor IDE
agentic-sdlc ide all            # Setup all supported IDEs

# Knowledge Base
agentic-sdlc init-kb            # Initialize KB
agentic-sdlc list               # List roles & workflows
agentic-sdlc kb search "query"  # Search KB

# Release Management
agentic-sdlc release preview    # Preview changes
agentic-sdlc release release    # Full release cycle

# Brain System
agentic-sdlc agent              # Run default agent
python tools/neo4j/brain_parallel.py --sync      # Sync brain

🌟 Why Agentic SDLC?

| Traditional Development | With Agentic SDLC | |------------------------|-------------------| | Manual planning | Automated with @PM | | Ad-hoc architecture | Structured with @SA, @UIUX | | Inconsistent code quality | Enforced by @QA, @SECA | | Lost knowledge | Compound learning brain | | Repetitive tasks | Automated with @AUTO | | Single-agent limits | Multi-agent teams with AutoGen | | Solo problem-solving | 13+ AI experts available |

🔗 Links

• Repository: https://github.com/truongnat/agentic-sdlc
• NPM Package: https://www.npmjs.com/package/agentic-sdlc
• Issues: https://github.com/truongnat/agentic-sdlc/issues
• Documentation: docs/

📄 License

MIT License - See LICENSE for details

Next Steps:

1. Read GEMINI.md to understand the brain system
2. Follow Quick Start to get started
3. Explore workflows to see available automations

Questions? Check the documentation or open an issue.