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Recommendations Generation

How CodeDD creates actionable remediation guidance

Software Audit1 min readUpdated View as Markdown
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Recommendations are produced during audit consolidation — turning validated findings into prioritized, actionable guidance tied to your codebase.

What recommendations cover#

Security remediation — specific vulnerabilities with severity, affected location, and fix guidance (e.g. parameterized queries instead of string concatenation, adding auth checks to exposed endpoints).

Dependency updates — outdated packages with known CVEs, target versions, and breaking-change notes where relevant.

Technical debt — high-complexity functions to refactor, duplication to consolidate, missing error handling.

Architecture — coupling issues, missing abstraction layers, modularity improvements.

Testing — coverage gaps on critical paths, suggested test types (unit, integration, security).

Each recommendation includes priority tier, estimated effort, and rationale.

Prioritization#

Recommendations are ranked by severity, confidence, and business impact:

  • P0 — Critical: active security vulnerabilities, data breach risks, production-breaking issues
  • P1 — High: high-severity vulns, important dependency updates, major architecture issues
  • P2 — Medium: code quality improvements, moderate refactoring
  • P3 — Low: style consistency, documentation, minor optimizations

Related fixes are grouped where dependencies exist (e.g. framework upgrade before API migration).

Where to use them#

Web dashboard — prioritized list with drill-down to findings and affected files.

Issue Compass — focused remediation slices you can save and work through systematically.

PDF export — executive summary with top recommendations.

CLI — codedd fix for terminal-guided resolution after audit completion.

Exports — JSON/CSV for offline planning; API access for programmatic retrieval.

Tracking progress#

Re-run audits and use compare-audits to measure:

  • Issues resolved vs. new findings
  • Code Health Score change
  • Test coverage delta
  • Dependency updates completed

Audits are on your cadence — not automated continuous monitoring.

Planned#

  • JIRA / GitHub issue auto-creation (UI currently shows "coming soon")
  • CI/CD webhook triggers for re-audit

Next steps#

Suggested

  • OverviewGetting Started
  • Audit Process OverviewSoftware Audit
  • CLI InstallationCodeDD CLI
  • Enterprise Data APIPortfolio Analytics
  • AI Agent Telemetry (OpenTelemetry Setup)Portfolio Analytics
  • Data Encryption at RestSecurity & Privacy

See these numbers on your own codebase

Run a first audit free, or walk through a live report with the CodeDD team.