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Continuous Feedback

Stay on top of code quality with background monitoring and historical trends.

Auto-Review on Save​

Passive, always-on code quality feedback without interrupting your workflow. When enabled, every file save triggers a silent AI review in the background.

  • How to enable: Command Palette -> Ollama Code Review: Toggle Auto-Review on Save, or set ollama-code-review.autoReview.enabled: true.
  • Status Bar: Look for the $(eye) Auto badge in the status bar to see the current status.
  • Workflow: Findings appear as inline annotations and optional notifications. You can configure the minSeverity to only be notified of critical or high issues.

Review Quality Scoring & Trends​

Track the quality of your code over time with a 0–100 score derived from AI findings.

  • Scoring: Points are deducted based on finding severity (Critical: -20, High: -10, etc.).
  • History Panel: View your score trends, average quality, and a sortable table of past reviews.
  • Trigger: Click the quality score in the status bar or use the command Ollama Code Review: Show Review Quality History.

Review Analytics Dashboard​

Get a comprehensive, visual overview of your review history.

  • Command: Ollama Code Review: Show Review Analytics Dashboard.
  • Insights: Distribution of issues by severity and category, most-reviewed files, and model usage statistics.
  • Data Portability: Export your history as CSV or JSON for external analysis.

Findings Management​

Efficiently organize and share the results of your reviews.

  • Severity Filter: Filter the Findings Explorer to focus on specific severities (e.g., only Critical and High).
  • Markdown Export: Export your findings as a Markdown checklist, grouped by file, to share with your team or track in an issue tracker.
  • Findings Explorer: A dedicated tree view in the sidebar (AI Review icon) that acts as a "Problems Panel" for AI findings.