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Documentation Index

Fetch the complete documentation index at: https://docs.endorlabs.com/llms.txt

Use this file to discover all available pages before exploring further.

The AI security code review dashboard helps you understand the impact of AI security code review in your namespace. AI security code review dashboard You can view the following information in the AI security code review dashboard:
  • PRs without summaries: The percentage of pull requests that did not have a summary for which AI security code review generated meaningful summaries.
  • Safe Pull Requests: The percentage of pull requests that did not have any High or Critical vulnerabilities.
  • Review time saved: The estimated number of hours of developer time saved by AI security code review.
  • Projects enabled: The number of projects in the namespace that have AI security code review enabled.
  • Pull requests reviewed: The number of pull requests reviewed by AI security code review.
  • Commits reviewed: The number of commits reviewed by AI security code review.
  • Security findings: The number of security findings triggered by AI security code review, classified by severity.
You can also view the following widgets:
  • Top categories by findings: The categories of security vulnerabilities found in the namespace, ranked by the number of findings.
  • Top projects by findings: The projects in the namespace with the highest number of security vulnerabilities, ranked by the number of findings.
  • Top languages by findings: The languages in the namespace with the highest number of security vulnerabilities, ranked by the number of findings.
You can use these widgets to identify the most critical vulnerabilities and projects in your namespace.