AI Coding Workflow: From Local Dev to Production Deployment

Al_Grigor · x · 2026-08-12

The author shares a step-by-step workflow for deploying an app from local development to production using AI coding assistants:

Containerization: Build the frontend with Node and create a single Python image serving both frontend static files and the backend API.
Database Migration: Switch from SQLite to Postgres, recommending SQLAlchemy from the start for a smooth transition.
Docker Compose: Run Postgres and the app together locally to simplify development and testing.
End-to-End Tests: Use Playwright to verify frontend compilation, backend communication, and real user flows.
AWS Deployment: Utilize CloudFormation for infrastructure as code to cleanly recreate the stack.
CI/CD Pipeline: Configure GitHub Actions for automated builds and deployments.

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