Django Backend Development Challenges and Lessons Learned

🔄 flo. v2 — From Frontend Project to Full-Stack Application A few weeks ago I shipped flo., a personal finance manager built with Angular and Supabase. The reception was encouraging. So I took it further. I've spent the last several days building and deploying a production Django REST Framework backend — and the deployment process alone taught me more than I expected. Here's an honest breakdown of what went wrong and what I learned: ⚙️ The Technical Challenges → Managing a monorepo with Angular frontend and Django backend in the same repository — and understanding how deployment platforms interpret your folder structure → Python version compatibility: Render defaulted to Python 3.14, which broke psycopg2. The fix was a single runtime.txt file — but finding that root cause took hours → Production vs. development Django: STATIC_ROOT, whitenoise middleware, gunicorn, environment variables — none of this exists in a local setup → Database configuration: migrating from localhost to a cloud PostgreSQL instance and understanding how DATABASE_URL works in production → Build pipeline isolation: when your repo contains two projects, deployment platforms need to be explicitly told which one to build 🏗️ What Was Actually Built → Django 4.2 REST API with JWT authentication → PostgreSQL database hosted on Render → Static file serving via Whitenoise → Environment-based configuration for local and production environments → Proper separation of build and start commands 📌 The Bigger Lesson Every deployment error was a gap in my mental model of how production systems work. Fixing them didn't just solve the immediate problem — it built intuition that tutorials rarely provide. The gap between "it works locally" and "it works in production" is where real backend knowledge lives. 💻 GitHub: https://lnkd.in/dffqYfvM Always building. Always learning. #Django #Python #WebDevelopment #Backend #SoftwareEngineering #BuildInPublic #LearnInPublic #FullStack

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