EPIC: Detect and Visualize Review Bad Practices

[iam-flo]

Is your feature request related to a problem? Please describe.

Code reviews often suffer from bad practices that reduce their effectiveness and hinder collaboration. Common issues include short, unclear comments that provide little value to the author, a lack of actionable feedback, and inconsistent review standards across team members. These bad practices lead to frustration, misunderstandings, and missed opportunities for improvement, especially for novice developers who rely on constructive feedback to grow their skills. Currently, there is no automated system to detect and visualize review bad practices, leaving teams to depend on subjective and inconsistent manual oversight.

Describe the solution you'd like

An automated system to detect and visualize bad practices in code reviews. The system would analyze review data and flag issues such as:

• Short, vague, or unclear review comments that lack actionable feedback.
• Inconsistent application of review standards across team members.
• Reviews that fail to address critical issues or cover relevant code changes.

The system should also calculate and visualize review metrics, such as the average length and clarity of comments, the time taken for reviews, and the frequency of bad practices. These metrics could be displayed in a dashboard, allowing teams to identify trends and take proactive steps to improve the quality of code reviews.

Tasks

• Visualize code reviews in a dashboard.
• Detect bad practices in code reviews:
  • Short or vague comments lacking actionable feedback.
  • Inconsistent application of team review standards.
• Calculate and visualize review metrics in the dashboard:
  • Average length of review comments.
  • Review completion time.
  • Frequency of specific review bad practices.
• Visualize review bad practice trends (allow tracking trends even without current open reviews):
• Tendency for reviews with unclear comments.
• Tendency for rushed or incomplete reviews.
• Trends in review times and thoroughness.
• Add suggestions to improve review practices
• Integrate notifications