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Document performance implications of code sections, explain the choice of algorithms, data structures, and any optimization techniques used.

Use version control systems to track changes, document changes in commit messages, and link code changes to issue tracking.

Use UML diagrams to provide visual representations of system architecture, class relationships, and workflow processes.

Provide a brief description, list parameters and return types, use a consistent docstring format like JavaDoc or Doxygen.

Document how the code handles errors, list possible exceptions, and describe the error handling strategy.

Create external documentation like READMEs, wikis, or developer guides. Include setup instructions, dependencies, and examples.

Document any specific localization and internationalization considerations, such as language-specific comments and string handling.

Document deprecated code sections and provide information on compatibility with previous versions, mention alternatives if available.

Use comments to explain the why, not the what. Ensure comments are updated along with code changes. Avoid obvious comments.

Document security measures in place, note secure coding practices, and explain the handling of sensitive data within the code.

Utilize tools like Doxygen, Javadoc, or Sphinx to generate documentation from annotated source code.

Use clear and descriptive names for variables, functions, and classes. Follow the project's naming conventions consistently.

Use code reviews as a process to improve code quality and documentation. Encourage documentation discussions during reviews.

Use inline documentation sparingly to explain complex or non-obvious code segments. Don't overuse, as it can clutter code.