Read the code before you write the code

Map before you move

The structure you see in a folder tree is the intended architecture, not the real one. The real architecture lives in imports, runtime calls and data flow. Ten minutes with a search tool answering 'who calls this?' prevents hours of reverting a change that broke an invisible consumer.

Write the map down. A short list of entry points, shared state and hidden coupling turns a vague feeling of risk into specific, testable concerns.

Example scenario: a shared utility

Example scenario: a date-formatting utility is imported by forty modules. Renaming it looks trivial until a search reveals three modules that import it dynamically and one test that snapshots its output format. The rename becomes a small migration plan instead of a surprise failure.

This is an illustrative scenario, not a report from a specific codebase.

Understanding has a cost too

Reading everything before changing anything is its own failure mode — analysis paralysis. The skill is scoping the reading to the blast radius of the change: direct callers, shared state and deployment boundaries, not the entire repository.

A short reading checklist

Find every caller, including dynamic imports; check tests and snapshots that pin current behaviour; identify shared mutable state; note deployment or version boundaries the change crosses; and only then write the first line of new code.