Agentic Software Development
Standardize your SDLC with natural language commands. Built for Cursor IDE and MCP tools. Works with Jira, Azure DevOps, and GitHub.
What This Is¶
A standardized approach to Software Development Lifecycle operations using well-defined, organized commands that work across teams and projects.
Built on:
- Cursor IDE - AI-powered development environment
- MCP (Model Context Protocol) - Connects to Jira, Azure DevOps, GitHub
- Natural language commands - Markdown instructions for AI agents
- ASDLC - Principles for industrial-grade agentic software development.
How It Works¶
graph LR
A[You] -->|/command| B[Cursor AI]
B -->|invokes| C[MCP Tools]
C --> D[Jira]
C --> E[Azure DevOps]
C --> F[GitHub]
C --> G[Filesystem]
Flow:
- You invoke a command (e.g.,
/start-task PROJ-123) - Cursor AI reads the command (markdown instruction file)
- AI invokes MCP tools to interact with:
- Jira - Issue tracking and project management
- Azure DevOps - Work items and boards
- GitHub - Repository and pull requests
- Filesystem - Plans and code
- AI executes contextually based on your project
Result: Consistent operations regardless of project, tech stack, or team.
Getting Started¶
1. Setup MCP Connections¶
Connect Cursor to your services (Jira, Azure DevOps, GitHub, filesystem).
2. Install Commands¶
Add command library to your Cursor workspace.
3. Start Using¶
Invoke your first command: /create-task --type=story for [your feature]
Learn More¶
- Commands Reference - Commands with previews
- How It Works - Core principles
- Setup Instructions - Detailed configuration