Overview
New projects start without proper governance setup, creating technical debt from day one. Zenable provides automated project scaffolding with built-in governance, security, and compliance - ensuring projects start right with zero governance debt.AI-Native Python Template
The AI-Native Python is a cookiecutter template that provides a production-ready Python project with built-in governance, automated quality checks, and AI-optimized development.Quick Start
1
Install Homebrew
Install the package manager from brew.sh
2
Install uv and Generate Project
- Project name and description
- Organization details
- GitHub settings
- Technical preferences (Python version, Docker support, etc.)
3
Start Developing
Zenable MCP Included! The project generator automatically installs and configures the Zenable MCP server in your project, so AI assistants will immediately start enforcing your governance policies - no additional setup required.
What’s Included
The AI-Native Python template provides a complete, production-ready foundation with everything configured:Key Features
- Modern Python Development - Uses
uv
for lightning-fast dependency management - 100% Test Coverage - Enforced automatically, not aspirational
- Security First - Vulnerability scanning and SBOM generation built-in
- Automated Everything - Releases, versioning, and changelog generation
- AI-Optimized - Works seamlessly with Copilot, Cursor, and Claude
- Docker Ready - Multi-platform builds with optimized image sizes
- Simple Yet Powerful - One-command local setup, testing, deployment, and more
Zenable Included by Default - The template comes with Zenable pre-configured. No additional setup needed - governance checks and policy enforcement work automatically from your first commit.
Key Benefits
Instant Productivity
- 5-minute project setup
- Start coding immediately
- No configuration overhead
- Everything just works
Built-in Quality
- 100% test coverage enforced
- Type safety guaranteed
- Security scanning automated
- Code quality checks on every commit
AI-Optimized
- Works with Copilot, Cursor, Claude
- Governance checks on AI suggestions
- Consistent patterns for AI to follow
- Reduced AI-generated bugs
Production Ready
- CI/CD fully configured
- Docker builds automated
- Semantic versioning
- Dependency updates managed
Why Use AI-Native Python?
The Traditional Way
- Spend hours setting up project structure
- Configure testing, linting, CI/CD manually
- Inconsistent practices across projects
- Security and compliance added as afterthoughts
- AI tools generate code that doesn’t meet standards
The AI-Native Way
- 5-minute setup - Project ready with one command
- Everything configured - Testing, quality, CI/CD, security
- Standardized approach - Consistent across all projects
- Built-in governance - Security and compliance from day one
- AI-optimized - Tools generate compliant code automatically
Next Steps
- Explore AI Tools Integration for development
- Set up Policy as Code for your project
- Configure Security Assessment automation