How to Deploy Your Pythagora-Built App

Pythagora typically generates projects using Node.js with Express or React+Node.js full-stack. Often uses MongoDB or PostgreSQL. Pythagora's step-by-step approach means the stack choices are deliberate. Understanding the stack is important because it determines your deployment options and the specific configuration you'll need.

Railway or Render for the Node.js backend. Vercel or Netlify for the React frontend if it's a separate app. Docker-based platforms work well since Pythagora projects are typically self-contained

Review all development steps — Pythagora builds incrementally and earlier decisions may have been superseded. Clean up any redundant code from earlier iterations. Ensure database migrations are complete and reproducible. Set up environment variables for all configurations. Deploy with proper process management

One of the most common deployment failures is missing or misconfigured environment variables. Pythagora apps often hardcode values during development that need to be externalized for production. Audit every file for hardcoded URLs, API keys, and configuration values. Create a .env.example file listing every required variable. Set these in your hosting platform's dashboard before deploying.

After deploying, verify: HTTPS is enforced on all routes, custom domain is configured and resolving, environment variables are correctly loaded, all features work in production (not just locally), error tracking is capturing exceptions, and performance is acceptable under real conditions.

The most frequent issues we see in Pythagora deployments: forgetting to set environment variables (causing startup crashes), not testing the production build locally before deploying, missing build dependencies, and using development configurations in production.