Quick Start
Three steps. That's it. Initialize a project, open your IDE, and tell your AI agent what to build.
1 Install & Initialize
Install the CLI and create a project:
npm install -g @prodara/cli
prodara init my-app
cd my-app That's all the CLI does — it scaffolds a .prd spec file and configures your AI agent automatically. The Prodara VS Code extension (optional) gives you syntax highlighting and real-time diagnostics.
minimal, saas, marketplace, internal-tool, and api. Use --template saas to start with a richer spec. 2 Open Your IDE & Build
Open the project and tell your agent what to build:
code my-appIn Copilot Chat (or any AI agent), just say:
/Prodara Build me a ToDo application with tasks,
due dates, and priority levels. Your agent handles everything — it writes the .prd spec, runs the compiler, and implements the code. No need to learn any commands or syntax. The agent already knows how Prodara works.
prodara init generates an @prodara prompt and copilot-instructions automatically. Your agent is ready to build from the moment you open the project. 3 Iterate
Want to change something? Just ask:
/Prodara Add a "completed" filter and a
workflow to archive old tasks.The agent updates the spec, rebuilds, and implements the changes. The VS Code extension shows real-time validation so you and your agent catch errors instantly.
? Optional: CLI Reference
Most users never need these — your agent runs them for you. But if you want to run commands manually:
prodara build # Full pipeline
prodara validate # Type-check .prd files
prodara test . # Run spec tests
prodara diff # Show what changedWhat's Next?
You've built your first Prodara project! Here's where to go next:
- Deep Dive Tutorial - Build a full multi-module Task Board (~30 min)
- AI Agent Workflows - Configure Prodara for Claude, Cursor, Gemini, and 23 more agents
- Language Reference - For power users: learn the full Prodara language