Documentation is written reference material that tells you how to use a model, system, or library. For a small, mature tool, even brief documentation can be more useful than generated code: it identifies the inputs, the supported call, and the expected result. section 4.7
Calculating the sun’s position
A developer needing the sun’s position searched for an existing Python library instead of rebuilding the trigonometry. The documentation showed that a datetime, longitude, and latitude were required, then demonstrated the library call. That short reference produced the needed result, while an AI-generated alternative used complicated, unexplained constants. section 4.7
pip install suncalc
The installation command illustrates how documentation can reduce a reusable task to one practical step. section 4.7
from suncalc import get_position get_position(datetime, longitude, latitude)
The function call makes the documented interface concrete by showing its three required arguments. section 4.7
Documentation is not automatically correct or complete, but it gives a concrete reference to test. Scanning it can expose whether a tool fits the task and avoid trusting an AI assistant that invents an invalid usage pattern. section 4.7
