The core FastAPI server with thoughtful security implementations. The path traversal protection uses multi-layer URL decoding and blocklists — a non-trivial defense against encoded traversal attacks. The Mermaid diagram generator parses n8n workflow JSON into visual flowcharts, which is a genuinely useful extraction pattern. The in-memory rate limiter is simple but functional. Could be extracted as a standalone workflow visualization API.

SQLite-backed workflow indexer with FTS5 full-text search. Implements batch parsing of n8n JSON files, extracts metadata (triggers, complexity, integrations, node counts), and provides paginated search with multiple filter dimensions. The schema design and indexing strategy are well-suited for the problem. Could be reused as a generic JSON document search engine for other workflow/pipeline formats.

A clean ETL template demonstrating the HTTP-fetch → transform → deliver pattern common in n8n workflows. Uses sticky notes for documentation, proper node chaining, and realistic demo endpoints. This is a reusable pattern template that could be adapted to any data pipeline use case.

Well-structured Docker Compose configuration for a turnkey AI automation stack (n8n + Agent Zero + ComfyUI). Includes GPU passthrough configuration, health checks, shared volumes for cross-service data, and clear networking. The pattern of combining multiple services with shared volumes and GPU support is reusable for other AI/ML tool stacks.

Thoughtful PostgreSQL schema for an adaptive learning platform. Includes RLS policies, JSONB fields for flexible progress tracking, automatic triggers for statistics updates, and a clean table structure for users, cases, interactions, and gamification. The schema design patterns (RLS, JSONB flexibility, trigger-based denormalization) are reusable for any user-progress-tracking application.