Accelerate Pega DX Component Development with Claude — A Full Lifecycle Automation

I’m excited to share an AI-powered automation that guides developers through the complete lifecycle of building custom Pega Constellation DX components — from machine setup through publishing to Pega and pushing to GitHub

Pega DX Component Automation using Claude AI THUMB

:play_button: Watch the video (11 minutes) →


The Problem

Building a custom Constellation DX component manually requires deep expertise — setting up the DX Component Builder, writing TypeScript following Pega’s specific conventions, configuring Storybook, authenticating, and publishing.


The Solution — How It Works

The automation uses Claude Code — Anthropic’s AI coding assistant — guided by a set of structured markdown files called CLAUDE.md guide files. These files encode every step of the DX component lifecycle so that any developer, regardless of their Pega DX expertise, can build and publish a component by simply describing what they want.

The CLAUDE.md Approach

A single CLAUDE.md entry point is read by Claude Code at the start of every session. It auto-detects whether the project needs full setup or is ready for daily use — loading only the relevant guide files for that session. This keeps AI token usage low and responses fast.

The docs/ folder contains eight specialized guide files — one for each phase of the workflow:

File Purpose
setup-machine.md Checks and installs Node.js, Git, Claude Code automatically
init.md Project initialization and Pega environment configuration
build-component.md Component creation from description, image, or Figma design
test.md Storybook mocking and live preview
publish.md Lint fixing, build, authenticate, and publish to Pega
github.md Push component to GitHub with documentation
component-checklist.md Official Pega delivery checklist verified before every publish
upgrade.md Safely upgrade the DX Component Builder version

Figma Integration

When a developer shares a Figma frame URL the automation:

  1. Calls the Figma Images API using a temporary Personal Access Token provided by the designer
  2. Renders the specific frame as a PNG
  3. Reads it visually — exactly like reading a screenshot
  4. Generates component code that faithfully reflects the design

No manual design-to-code translation. No Figma license required for developers. The designer revokes the token after the build — no permanent access needed.


Component Generation

Every component is scaffolded using npm run create — never created manually — ensuring the correct folder structure and config.json schema every time. The automation generates all required files following the official Pega Constellation UI Gallery delivery standards:

  • index.tsx — component logic with correct getPConnect typing and CSP-safe create-nonce import
  • config.json — updated with label, description, and props
  • mock.ts — realistic sample data for Storybook
  • demo.stories.tsx — stories for all visual states
  • demo.test.tsx — Jest unit tests covering key behavior
  • docs.mdx — documentation rendered as Docs tab in Storybook
  • README.md — component documentation visible on GitHub

Automated Quality Gate

Before any publish commands are given, the automation runs a full quality cycle silently:

  1. npm run fix — auto-fixes all lint and formatting issues
  2. npm run lint — verifies zero errors remain
  3. npm run test — runs Jest tests and fixes failures
  4. Component delivery checklist — verifies all Pega standards are met

Only after all checks pass does the developer get the publish commands.


GitHub Integration

After publishing to Pega the automation optionally pushes the component to a configured GitHub repository:

  • Verifies GitHub login via VS Code’s built-in authentication — no Personal Access Token needed
  • Creates a branch following the dx/ComponentName convention
  • Commits only the component folder with full documentation
  • Updates the main repo README with the new component entry
  • Prints a PR link for the designated reviewer to approve and merge

Requirements: VS Code installed on your machine, a Pega Infinity environment with an unlocked ruleset, and an Anthropic Claude account.

Get Started

The guide files and full documentation are available on GitHub:

Watch the full demo video here:

Pega DX Component Automation using Claude AI THUMB

:play_button: Watch the video (11 minutes) →

Watch the demo video, explore the guide files on GitHub, and let me know what components you build with this. I’d love to hear your feedback.

5 Likes

@gadda2 thanks for sharing - I have added it to our constellation 101 series!

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The github link is broken, if you can share the docs folder .md files to test the approach shared in the video

@imGaurav yes, we had some issues making this previously private github public. Bear with us whilst @gadda2 gets this addressed.