Analysis updated 2026-05-18
Install Django architecture skills so an AI coding agent follows production-grade conventions automatically.
Standardize how a team's AI assistant writes services, serializers, migrations, and admin code.
Fork and customize the included skills to match a specific team's Django conventions.
| mohamedmandour10/agentic-django | 0xbitx/dedsec_linx2win | aarav90-cpu/fetchit | |
|---|---|---|---|
| Stars | 10 | 10 | 10 |
| Language | — | — | Python |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Assumes existing familiarity with Django and DRF, it teaches conventions rather than Django itself.
agentic-django is a set of instruction files you install into an AI coding assistant, like Claude Code, that teach it how an experienced Django web developer would structure and write code. Django is a popular framework for building websites and backend systems in Python. This project does not add features to a website itself, it changes how the AI helping you build one behaves. The problem it addresses is that AI assistants left to their own defaults tend to write Django code in ways that create long-term trouble, like putting too much logic directly in the parts of the code that handle web requests, or writing database queries inefficiently in ways that slow the app down as it grows. Each of the eight included skills targets one specific layer of a typical Django application, covering topics like how to organize a project's folders, how to write safe database changes, how background tasks should be structured, how to lock down the admin panel, and how tests should be organized. Once installed, these skills work automatically in the background. When you ask the AI agent to touch a certain kind of file, like one handling background tasks, the matching skill loads itself and guides the agent's approach without you needing to ask for it by name, though you can also invoke a specific skill directly if you want. Installation happens through a command-line tool made for installing agent skills, or by simply cloning the repository and copying the skill folders into your own project. Because every team has its own preferences, the README also suggests forking the project and adjusting the rules to match your own team's conventions before using it. This is aimed at developers using AI coding assistants on Django projects who want consistent, production-grade patterns instead of generic textbook advice, and it assumes you already know Django reasonably well.
A set of installable AI agent skills that teach coding assistants production-grade Django architecture patterns and conventions.
No license information was found in the README.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.