HAHelioaudit
AI Reviews

How AI Reviews Work

An AI Review in Helio Audit follows a clear lifecycle: receive change context, analyze the code, correlate signals, produce Issues and Suggestions, and help teams remediate.

End-to-end flow

1. Change context

Helio Audit analyzes the changes associated with a Pull Request, or local staged/modified files when using CLI workflows. Analysis is repository-aware: file structure and surrounding context help produce useful summaries and findings.

2. AI code analysis

Depending on the Review type, analysis may include:

  • Change summaries and diff understanding
  • Bug, security, and maintainability detection
  • Secrets, dependency, and infrastructure misconfiguration signals for security-focused Reviews
  • Separation of security findings from general quality notes

Every finding should be understandable in plain language—why it exists, impact, and how to resolve it.

3. Issues and Suggestions

OutputRole
IssueA concrete finding that needs attention
SuggestionGuidance, improvement, or proposed approach

Findings are prioritized and correlated so teams are not left managing duplicate alerts from disconnected tools.

4. Remediation assistance

For actionable findings, Helio Audit can enrich results with:

  • Root-cause explanation in the specific code path
  • Application impact
  • Potential security or business consequences
  • Recommended remediation steps
  • Prompts for supported coding assistants
  • Suggested implementation approaches based on repository context

Security Pull Request Reviews present security findings separately from quality notes so security gates remain clear.

5. Closing the loop

Helio Audit assists with Pull Request comment resolutions—drafting replies, tracking threads, and suggesting patches—so Reviews do not stall after the first round of feedback.

Relationship to broader scans

AI Reviews on Pull Requests examine newly introduced changes. Whole-branch and repository intelligence workflows evaluate a broader surface, including application security, quality, dependencies, secrets, IaC, and license/SBOM-related concerns. Use Reviews for merge-time feedback and broader scans for repository debt.

Next steps

On this page