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I Kept Recreating My Django Superuser Every Time I Switched Computers — Until I Finally Understood What Was Happening

I’ve been building a Django project called SmartDuka, a smart shop management system for small retailers and shop owners. It handles inventory tracking, low stock alerts, dead stock detection, sales tracking, credit sales, and daily b…

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I’ve been building a Django project called SmartDuka, a smart shop management system for small retailers and shop owners. It handles inventory tracking, low stock alerts, dead stock detection, sales tracking, credit sales, and daily business insights.



This is also my first serious Django project.



And for a while, every time I switched from my home laptop to my work laptop, I went through the exact same process:




git clone
python -m venv venv
pip install -r requirements.txt
python manage.py migrate
python manage.py createsuperuser






Then I would open the admin panel and start entering products, customers, and sample sales all over again.



Every. Single. Time.



At first, I thought this was just part of working with Django. But eventually I realized I wasn’t actually understanding the relationship between:




  • my code

  • migrations

  • and the database itself



This article is basically the explanation I wish someone had given me earlier.









The Mistake I Wasn’t Really Making



To be fair, I was doing one important thing correctly:




db.sqlite3






was inside my .gitignore.



For a good reason SQLite databases are local files and usually shouldn’t be committed to Git.



So technically my workflow looked “correct.”



The problem was this:



I assumed migrations would somehow preserve my data across machines.



They don’t.









What Django Migrations Actually Do



This part finally clicked for me after some frustration.



When you run:




python manage.py migrate






Django recreates the database structure, not the actual records inside it.



So migrations restore things like:




  • tables

  • columns

  • relationships

  • constraints



But they do not restore:




  • superusers

  • products

  • inventory

  • sales records

  • customers

  • suppliers



That data lives inside the database itself.



And in SQLite, that database is literally one file:




db.sqlite3






Once I understood that, everything made sense.









Why I Had to Keep Recreating My Superuser



Because every new machine was getting:




fresh empty database






After migrations, Django had the tables it needed, but there were no actual records inside them yet.



So naturally:




  • no users existed

  • no inventory existed

  • no sales existed



I wasn’t losing my code.



I was losing my database state.









The Different Solutions I Considered



Once I understood the problem properly, I realized there are several ways developers approach this.






1. Recreate Everything Every Time



This was my original workflow.



It technically works, but only for tiny projects.



Once your app starts accumulating meaningful data, this becomes painful very quickly.









2. Commit db.sqlite3 to Git



I considered this briefly.



It solves the syncing issue, but introduces other problems:




  • binary file conflicts

  • messy Git history

  • merge problems

  • potential security risks



For a real project, this didn’t feel right.









3. Use Fixtures



Django supports:




python manage.py dumpdata
python manage.py loaddata






which export and import data as JSON fixtures.



This is actually pretty useful for:




  • demo data

  • seed data

  • lookup tables



But for constantly changing business data like inventory and sales, it felt awkward as the main solution.









4. Copy db.sqlite3 Between Machines



This ended up being the most practical short-term solution for me.



Instead of recreating everything, I simply keep the latest SQLite database and transfer it between machines manually.



That preserves:




  • my superuser

  • inventory records

  • customers

  • sales history

  • everything else



The workflow now looks more like this:




git pull
pip install -r requirements.txt
# copy latest db.sqlite3
python manage.py migrate
python manage.py runserver






Much better.









The Important Detail About Migrations



One thing I learned here:



The correct order is:




  1. copy db.sqlite3

  2. then run migrations



Not the other way around.



Why?



Because migrations should update your existing database schema if new model changes were added.



For example, if yesterday my Product model had:




name = models.CharField(max_length=100)






and today I added:




price = models.DecimalField(...)






then running:




python manage.py migrate






updates the copied database safely.



That’s exactly what migrations are designed for.









The Bigger Realization



At some point, I realized SmartDuka started behaving like a real system.



And once that happens, things like:




  • persistence

  • synchronization

  • database strategy

  • backups

  • scalability



suddenly become important.



That transition caught me by surprise a little.









What I’m Planning Next



Right now I’m still using SQLite during development because it’s simple and fast.



But I can already see that eventually I’ll need to move toward PostgreSQL, especially because SmartDuka deals with:




  • transactions

  • inventory

  • analytics

  • credit management

  • reporting



At that point, having a shared database instead of manually copying SQLite files will make much more sense.



But honestly, understanding why I was recreating my superuser every time was already a huge learning moment.









Final Thoughts



One thing I’m learning while building real projects is that software development isn’t only about writing features.



Sometimes the biggest lessons come from workflow problems.



This was one of them for me.



If you’re new to Django and you’ve ever wondered:




“Why do I keep losing my data even after running migrations?”




hopefully this article saves you a few hours of confusion.

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
SOC Incident Playbook: Vulnerability Remediation & Verification
title: Detect Exploitation - I Kept Recreating My Django Superuser Every Time I Switched Computers — Until I Finally Understood What Was Happening
id: f56d695d-d188-48e6-b8ca-f236b476ebee
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-24"
        description = "YARA Signature for "
    strings:
        $str = "I Kept Recreating My Django Su" ascii wide
    condition:
        any of them
}
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Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich I Kept Recreating My Django Superuser Ev.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

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