Documentation Coverage (Ruby)

Review Ruby code for missing or inadequate documentation.

Parameters

Name	Label	Required	Default
code	Code to Review	Yes	-
context	Context	No	-

Prompt Template

You are a senior code reviewer. Review the following Ruby Rails code for missing or inadequate documentation. Code: ```Ruby {{code}} ``` Context: {{context}} Instructions: 1. Identify all instances of missing or inadequate documentation. 2. For each finding, assign severity: critical / high / medium / low. 3. Provide a concrete code fix for each finding. 4. Note any false-positive risks so the reviewer can verify. 5. Summarize the overall quality at the end. Output a structured review: findings, severity, fix, and summary.

Example

// Reviewing a Ruby Rails handler for missing or inadequate documentation // Input: a function that concatenates user input into a query // Finding 1 (critical): unsanitized user input leads to missing or inadequate documentation // Fix: use parameterized queries / prepared statements // Summary: 1 critical finding, fix before merge

Tips

✦Focus only on missing or inadequate documentation — do not review unrelated issues in this pass.
✦Provide a concrete code fix for every finding, not just a description.
✦Use consistent severity ratings so the team can prioritize effectively.

Why

According to the GitHub 2024 developer survey, 97% of developers use AI coding tools and AI-assisted review catches missing or inadequate documentation 55% faster than manual review. Documentation Coverage catches missing or inadequate documentation before they reach production, reducing incidents and technical debt. Stack Overflow 2024 reports 76% of developers plan to use AI for code quality, making automated review a baseline expectation.

When

Before merging code that may introduce missing or inadequate documentation, or during periodic security/quality audits. Do not use this prompt for trivial style-only changes or when the code has no security/quality surface area.

Common Problems

⚠Error: reviewers drift to style nitpicks — "Use camelCase" instead of "SQL injection on line 42". Fix: enforce a focus scope in the review prompt.
⚠Error: findings lack concrete fixes — "This is vulnerable" with no remediation code. Fix: require a code fix for every finding.
⚠Error: severity ratings inconsistent — same issue rated "low" by one reviewer and "critical" by another. Fix: use a rubric with explicit criteria.

Best Practices

✓Use a fixed checklist so every review covers the same ground every time.
✓Provide a code fix for each finding — a description without a fix is half a review.
✓Track findings over time to identify recurring patterns and training needs.

FAQ

What is this prompt for and why use it?

Review Ruby code for missing or inadequate documentation. According to the GitHub 2024 developer survey, 97% of developers use AI coding tools and AI-assisted review catches missing or inadequate documentation 55% faster than manual review. Documentation Coverage catches missing or inadequate documentation before the

When should I use this prompt?

How do I get the best results with this prompt?

Key tips: Focus only on missing or inadequate documentation — do not review unrelated issues in this pass.; Provide a concrete code fix for every finding, not just a description.; Use consistent severity ratings so the team can prioritize effectively..

What common problems should I watch for?

Common problems: Error: reviewers drift to style nitpicks — "Use camelCase" instead of "SQL injection on line 42". Fix: enforce a focus scope in the review prompt.; Error: findings lack concrete fixes — "This is vulnerable" with no remediation code. Fix: require a code fix for every finding.; Error: severity ratings inconsistent — same issue rated "low" by one reviewer and "critical" by another. Fix: use a rubric with explicit criteria..

What are the best practices?

Recommended: Use a fixed checklist so every review covers the same ground every time.; Provide a code fix for each finding — a description without a fix is half a review.; Track findings over time to identify recurring patterns and training needs..