AI can help write code, but a continuously developed and operated service needs more than generated files. The useful part is the repeatable loop around the code.
The working loop
- Start with a concrete problem and a small expected outcome.
- Work in a known environment with the project's existing rules.
- Keep the source and content in Git so every change can be reviewed.
- Build locally and check the public-facing result, not just the source.
- Push the verified change to the connected deployment system.
The exact tools can change. The boundary between local development, source control, deployment, and verification should remain clear.
What to record
For a useful technical note, keep enough context for another person to judge whether the procedure applies:
- the symptom or goal
- the environment and relevant constraints
- the change that was applied
- how the result was verified
- what remains uncertain or should be revisited
This avoids turning a one-off success into a confident but fragile recipe.
A modest definition of done
The page loads, the important route still works, the generated output contains the intended metadata, and a failure in an optional service does not hide the primary content. That is a more useful milestone than simply saying that a command completed.