Aurelius: A React Framework Built with 48 Claude Code Agents and Figma-to-React Pipeline

What Aurelius Does
Aurelius is a React framework that uses Claude Code agents organized in a hierarchy to build React apps from Figma designs autonomously. Instead of a single AI agent generating code, it uses multiple agents that enforce iteration on each other for full app builds.
Agent Architecture and Pipeline
The framework has 48 agents total across engineering, design, testing, product, marketing, and ops. These agents are auto-selected by Claude Code based on what you're doing, and all agent definitions are stored in .claude/ so you can read, modify, or reuse them for your own projects.
Overseer agents gate the pipeline with specific requirements:
- Tests must be written before components (TDD is mandatory, not optional)
- Visual QA uses pixel-diff comparison with a 2% threshold
- Quality gate checks coverage, TypeScript, Lighthouse scores, and design token compliance before anything passes
The pipeline has 10 phases:
- Figma discovery
- Design token extraction
- TDD gate
- Component build
- Pixel-diff visual QA (up to 5 iteration loops)
- Playwright E2E tests
- Cross-browser screenshots
- Quality gate
- Responsive checks
- Build report
Technical Implementation
Some technical details from the source:
- Uses Vitest + React Testing Library for unit/component tests
- Playwright for E2E and cross-browser testing
- Pixelmatch for visual diffing
- Design tokens are locked in a lockfile so hardcoded values can't leak into components
- Everything is configurable in
.claude/pipeline.config.json
The framework has app-type awareness and can detect whether you're building a standard web app, a Chrome extension (reads manifest.json), or a PWA, adjusting the E2E strategy accordingly. The creator used it to port an app from Webflow to a Chrome extension without reconfiguring the pipeline.
Project Status
Aurelius is MIT licensed with 118 commits. The entire framework was built in about two weeks using Claude Code, which demonstrates the workflow it automates. Milestones are planned through v2.0.0.
📖 Read the full source: r/ClaudeAI
👀 See Also

Running Two Claude Code Agents on the Same Repo with Git Worktrees
A Reddit user details how to run multiple Claude Code agents in parallel on the same codebase using git worktrees, avoiding file conflicts and enabling independent agent sessions.

Claude Code HUD: Terminal Dashboard for Monitoring AI Coding Sessions
claude-code-hud is a terminal dashboard that provides real-time monitoring for Claude Code sessions, showing context window usage, API rate limits, and file changes without requiring an IDE. Run it with npx claude-code-hud.

Sonicker: Voice Cloning Web App Built with Claude Code in 4 Days
Sonicker is a voice cloning web app that requires only 3 seconds of audio input and supports 10 languages. The developer built it solo in 4 days using Claude Code for the entire frontend, API integration, and deployment.

Local AI Agent Workflow Using OpenCode, FastMCP, and DeepSeek-r1
A developer shares their local AI agent setup using OpenCode with AGENTS.md files for deterministic system prompts, FastMCP for exposing local functions, and DeepSeek-r1 via Ollama for specific subagents like testing.