Can I vibe code Repricer.com?

Build an internal Amazon SP-API repricing engine in Node.js/TypeScript using PostgreSQL and Prisma.

1. Data Model: Create schemas for Products (id, sku, asin, cost_of_goods, fba_fee, referral_fee_pct, target_margin_pct, absolute_min_price, max_price, current_price, competitor_price, is_buy_box_winner), RepricingRules (id, strategy_type, step_amount, ignore_backordered_sellers), and PriceChangeLogs (id, product_id, old_price, new_price, trigger_reason, status, executed_at).

2. Ingestion Pipeline: Set up an AWS SQS queue consumer that receives Amazon ANY_OFFER_CHANGED notifications sent via SP-API. Parse incoming message payloads to extract the lowest landed offer, buy box offer details, seller IDs, and shipping costs.

3. Core Repricing Logic: Implement rule evaluation. Calculate profit floor: Absolute Floor = Cost of Goods + FBA Fee + (Current Price * Referral Fee Pct) + Target Margin Amount. Ensure dynamic min price never falls below absolute_min_price. If competitor price is lower than current_price but above floor, calculate new price = (Competitor Price - step_amount). If current seller owns Buy Box, implement target optimization: increment price by step_amount to test maximum margin while retaining Buy Box.

4. Execution & Quota Management: Queue all calculated price changes. Execute updates using Amazon SP-API PatchListingsItem or SubmitFeed (JSON_LISTINGS_FEED) to stay under SP-API rate limit buckets (2 requests per second). Implement exponential backoff for HTTP 429 status responses.

5. Safeguards: Enforce hard guardrails in code preventing any price submission where calculated price < absolute_min_price. If more than 5 failed updates occur within 1 minute, halt execution and emit an alert payload to a configured Slack webhook.

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