Today I created a Flash Django app in GitHub Codespace working 100% through Copilot as the active agent.
This was my first time actually developing in Codespace. The browser-based VS Code application instance comes pre-installed with Python, Node, and Docker. I was able to install Django to the environment effortlessly. From there, Copilot took over. After prompting to scope out the app we wanted to build, Copilot got to work, and minutes later we had a working app. I also learned the steps required to forward a port to my local machine to see the app running live.
GitHub Repository for my Codespace Project https://github.com/spycebot/ai-dev-tools
When I decided to transition from service management to software engineering, I was coding on my CUDA-enabled HP desktop, hand coding in the likes of VS Code, Visual Studio, PyCharm, etc.
Recently, my AI agent-enabled app development has been done using Claude Code on an Ubuntu VPS, or OpenClaw on a Rocky Linux VPS. But for this assignment, I wanted to try something I had not done before: End-to-end app development using GitHub's Codespace. I am please with how well things went.
AI Dev Tools Zoomcamp is taught by Alexy Grigorev (https://www.linkedin.com/in/agrigorev/) and produced by DataTalks.Club . #aidevtools
"I want to build a tool for managing shared household chores. Help me set the scope for this project precisely. I want to brainstorm with you and understand how the tool should work. Give me options. Ask me one question at a time and keep your output short."
Household Chore Manager Users & Access:
Core Features:
Technical Stack:
Not included (for now):
A Django web application for managing shared household chores within a family. The tool maintains a central list of chores, tracks who completed each chore and when, and allows anyone on the home network to contribute.
Each chore has: