code-explanation

To generate inline comments that explain code decisions, you can use automated templates that produce contextual annotations and architecture notes near non-obvious logic. This clarifies the WHY behind implementation choices, improving readability and knowledge transfer.

Documenting architecture decisions during a code review is best handled by generating ADR-style notes and PR description templates. These capture design trade-offs and communicate implementation rationale clearly to reviewers and onboarding engineers.

Yes, you can automatically create function docstrings and module headers across various languages and codebases. The process applies consistent patterns to capture contextual explanations and architecture decisions regardless of the specific programming language.

You need ADR-style notes when justifying design decisions that involve complex trade-offs, ensuring that the contextual rationale behind implementation choices is captured for future code reviews, architecture discussions, and team onboarding.

Yes, this code explanation approach works for onboarding by providing clear, contextual documentation that explains non-obvious logic. It generates module headers and inline comments that accelerate knowledge transfer for new engineers across languages.