Consistent Project Scaffolding at Scale with structkit

Every engineering team eventually hits the same wall: onboarding a new service takes half a day of copying files, hunting down the right .gitignore, figuring out which CI template is current, and hoping the intern doesn't miss the security scanning step. The solution is usually a wiki page nobody reads, a "golden repo" that's three quarters out of date, or a Slack message to the platform team that disappears into the void.

structkit exists to solve this problem definitively.

What is structkit?

structkit is an open-source project scaffolding tool that lets you define entire project structures — files, folders, content, permissions, remote assets — in a single YAML file and generate them consistently, anywhere.

Think of it as "infrastructure as code, but for your project structure."

files:
  - README.md:
      content: |
        # {{@ project_name @}}
        {{@ description @}}
  - .github/workflows/ci.yml:
      file: github://your-org/templates/main/ci.yml
  - .gitignore:
      file: github://github/gitignore/main/Python.gitignore

variables:
  - project_name:
      description: "Name of your project"
  - description:
      description: "One-line project description"

Run structkit generate my-template ./new-service and you get a complete, consistent project scaffold in seconds — with the correct CI pipeline, the right .gitignore, and your org's standard README structure.

The Problem with Alternatives

If you've tried cookiecutter or copier, you know they're powerful but have friction:

• Templates live in git repos, making version management manual
• Remote content (your org's standard CI file) means copy-pasting into the template
• No AI integration — you're on your own for keeping templates smart

structkit takes a different approach:

The AI-Native Angle: MCP Integration

The part of structkit that gets developers most excited in 2025 is the MCP (Model Context Protocol) integration. structkit ships with a built-in MCP server:

structkit mcp --server

This means your AI assistant (Claude, Cursor, Copilot, etc.) can generate project scaffolds directly from natural language:

"Create a new Terraform module with the standard organization security baseline and a README pre-filled with this module's purpose"

Your templates encode organizational knowledge. The AI executes them. The result is consistent, governed project creation at the speed of conversation.

Real-World Use Cases

Platform engineering teams use structkit to enforce org-wide standards: every new microservice gets the same observability setup, security scanning, and documentation structure — automatically.

DevEx teams use structkit to reduce onboarding time for new engineers. Instead of "read the wiki and copy the golden repo," it's structkit generate service ./my-new-service.

Individual developers use structkit to stop recreating the same boilerplate across side projects — define it once, use it forever.

Getting Started

pip install structkit
structkit generate terraform-module ./my-new-module

Full documentation: structkit docs

structkit is open source (MIT) and actively developed. Star us on GitHub and join the Discussions.