CLAUDE.md is not a prompt: starting a Django side project with an agentic AI workflow

📰 Dev.to · Sandro Hu

Learn to start a Django side project using an agentic AI workflow, leveraging AI tools to streamline development

intermediate Published 8 May 2026

Action Steps

Start a new Django project using the command line interface
Configure an agentic AI workflow to automate repetitive tasks
Integrate AI tools into the development pipeline to enhance code review and testing
Build a basic Django application using the agentic AI workflow
Deploy the application to a cloud platform, such as Heroku or AWS
Test and refine the application, leveraging AI-driven insights and automation

Who Needs to Know This

Developers and DevOps teams can benefit from this approach, as it showcases how to integrate AI workflows into existing development pipelines, improving efficiency and productivity

Key Insight

💡 Agentic AI workflows can significantly improve development efficiency and productivity in Django projects