A hands-on workshop where you create a repo from this template, open a Codespace, and across five labs: set up your dev environment, configure Copilot, implement a feature, build a CI workflow, and deploy to GitHub Pages. By the end of the day you have a live personal dashboard showing your AI experiment results.

An AI Experiment Log — a web app that tracks your experiments with AI coding tools. Each entry records the tool you used, what you tried, what happened, and your verdict. The app includes:

• A scrollable log of all experiments
• A dashboard with verdict breakdown and tool comparison charts
• A form to add new entries
• An API that reads/writes a JSON data file

The repo ships three backend implementations (Node, Python, .NET) so you can pick the language you are most comfortable with.

├── .devcontainer/          # Minimal Codespace base — you add your language in Lab 0
├── .github/
│   ├── ISSUE_TEMPLATE/     # Feature request template
│   └── workflows/          # CI and deploy workflows (manual-only until Labs 3–4)
├── data/
│   └── experiments.json    # Shared data file (2 starter entries)
├── frontend/               # SPA (HTML + JS + CSS, Chart.js from CDN)
├── node/                   # Express API on port 3000
├── python/                 # Flask API on port 5000
├── dotnet/                 # ASP.NET Core API on port 5001
├── rescue/                 # Completed Lab 2 files for the time-boxed sprint
└── labs/                   # Lab instructions (0–4)

1. Click Use this template → Create a new repository at the top of this repo
2. In your new repo, click Code → Codespaces → Create codespace on main
3. The container starts with a minimal base image — Lab 0 walks you through adding your chosen language

Node (port 3000):

cd node

npm install

npm start

Python (port 5000):

cd python

pip install -r requirements.txt

python -m flask run --port 5000

.NET (port 5001):

cd dotnet 
dotnet run

Each backend serves the frontend itself on its own port. Click the globe icon next to the forwarded port in the Ports tab. You should see the app with two starter entries and a placeholder on the Tool Comparison chart (you wire that up in Lab 2).

This workshop is designed to work with the Copilot free tier (2,000 completions + 50 premium requests/month). All Core labs are completable using inline completions only — zero premium requests required.

Want unlimited chat for today? GitHub offers a 30-day free Copilot Pro trial.

Each lab has Core (everyone completes) and Challenge (stretch goal) tiers, each available in Guided (step-by-step) or Self-directed (goal only) mode.

A single shape test is provided per language; writing more tests is a Lab 2 challenge.

# Node (Jest)
cd node && npm test

# Python (pytest)
cd python && pytest

# .NET (xUnit)
cd dotnet/Api.Tests && dotnet test