Code Scanning: How to Detect Bugs and Code Quality Issues
Code scanning is an umbrella term for automated inspection of source or artifacts. This article separates static quality scans, security-focused SAST, dependency scanning, secret scanning, and dynamic testing — and explains triage, remediation, and re-scanning.
Types of scanning
- Static application security testing (SAST) — source patterns for vulnerabilities
- General static analysis — bugs, smells, complexity, maintainability
- Dependency scanning — known CVEs in packages (e.g. Dependabot alerts)
- Secret scanning — committed tokens and keys
- Dynamic testing (DAST) — running application probes — different phase than static scans
Scanning pull requests vs full repositories
PR scans focus on diffs for fast feedback. Full-repository scans baseline legacy debt and find issues in unmodified files. Teams often use both.
Triage and remediation workflow
- Run scan and export or view severity-ranked findings
- Assign owners for Critical and High items
- Fix or document justified suppressions
- Re-scan to verify closure
- Track trend over scan history
False positives
Tune rules, baseline legacy issues, and require human confirmation before blocking releases on noisy checks.
Where CodeInspector fits
CodeInspector supports full-repo scanning with PDF reports and history by scanning GitHub repositories (public URL or connected private repos via GitHub OAuth) with rule-based static analysis for C#, Java, JavaScript, TypeScript, and C++. Findings include severity, file context, recommendations, and suggested fixes where available; PDF reports and scan history help teams track remediation. Explorer includes Gemini chat to discuss findings — it assists investigation, not autonomous code review. Python, Go, and PHP are listed as coming soon on the About page. Evaluate at https://codeinspector.app with starter credits for new accounts.
Frequently asked questions
Does one scan find all vulnerabilities? — No; layer multiple techniques.
Is code scanning the same as code review? — Complementary.
Conclusion
Treat code scanning as a loop: scan, triage, fix, re-scan. CodeInspector targets repository static analysis for supported languages on GitHub — use it alongside dependency and secret tooling.