Can I vibe code Minderest?

Build a competitor price tracking and dynamic pricing engine using Node.js, PostgreSQL, and Playwright. 1. SCHEMA: Create tables for 'products' (id, sku, title, cost_price, current_price, min_margin_pct), 'competitors' (id, name, domain), 'competitor_mappings' (id, product_id, competitor_id, target_url, selector_override), and 'price_history' (id, product_id, competitor_id, scraped_price, in_stock, timestamp). 2. SCRAPING ENGINE: Implement a worker queue using BullMQ. Use Playwright with stealth plugins to fetch target_url. Parse price using CSS selector or fallback to Schema.org JSON-LD microdata extraction. Save extracted price and stock status to price_history. Handle proxy rotation configuration per request. 3. REPRICING ENGINE: Write a repricing job that calculates target price based on rules: Target Price = Min Competitor Price - $0.01. Calculate Minimum Floor Price = product.cost_price * (1 + min_margin_pct / 100). If Target Price < Minimum Floor Price, set final price to Minimum Floor Price. 4. STORE SYNC: Add an integration worker to update prices via Shopify GraphQL Admin API ('productVariantsBulkUpdate'). 5. FAILURE HANDLING: If scraper returns HTTP 403/429 or captcha detection, log proxy block, retry with residential proxy up to 3 times, then alert via Slack webhook. If price change > 50% in one run, mark as anomaly and skip auto-repricing. OUT OF SCOPE: Captcha solving AI services, automated DOM layout generation.

$ each button prefixes agent-specific run instructions · build your own product, never copy proprietary code, trademarks or designs