Analysis & detection
What is Autofix Suggestions?
Proposing a concrete code change that resolves a finding, usually as a one-click suggestion in the pull request.
A finding tells you something is wrong; an autofix tells you what to write instead. For mechanical issues, such as formatting, simple refactors, known-safe API swaps, dependency version bumps, this collapses remediation to a click.
Quality varies sharply by issue class. Deterministic transformations are reliable; model-generated fixes for logic or security issues need review, because a fix that silences the scanner without addressing the underlying flaw is worse than the original finding.
Top 20 Autofix Suggestions tools
Every tool in the directory documented as supporting Autofix Suggestions, with what its own documentation says.
Support is not the same as parity, since some implementations are narrower in scope, gated to a higher plan tier, or maintained only for existing customers. The note under each tool is what its own documentation describes.
- 1CodacyQuality Platform
One-click and batch fixes for ESLint, Opengrep, markdownlint; free IDE autofix for four languages.
- 2
AutoFix suggests dependency, SAST, IaC and secret-rotation fixes; compatibility tested
- 3
Findings carry remediation guidance; '@codex fix the P1 issue' starts a cloud chat with PR context.
- 4Checkmarx OneCode Security Platform
AI Security Champion gives confidence score, explanation, and proposed remediation; KICS and IDE auto-remediation.
- 5Claude CodeAgent Coding Tool
/code-review --fix edits the working tree; /claude-security drafts F<n>.patch files for manual git apply.
- 6CodeAnt AIPR Review
Suggested fixes applied before merge, including fix-in-IDE direct application and auto-apply
- 7
One-click fixes for linter findings and committable code suggestions; autofix listed under Pro
- 8CodeSceneQuality Platform
CodeScene ACE proposes AI refactorings in the IDE, validated by a secondary fact-checking AI
- 9CorgeaCode Security Platform
AI generates and quality-checks a fix; auto-fix quota included from Free upward
- 10
Findings include fix suggestions plus Fix in Cursor, Fix in Web, or ask the in-PR agent.
- 11DeepSourceQuality Platform
Autofix button generates fixes for all occurrences of an issue; metered by AI credits, usage-priced on Open Source.
- 12
Inline code suggestions in PR reviews that can be committed directly from GitHub.
- 13GitHub Advanced SecurityCode Security PlatformFree on public repos; add-on: Code Security for private
Copilot Autofix generates code fix plus explanation for CodeQL alerts; no Copilot subscription required
- 14GreptilePR Review
Most inline comments include an applicable code suggestion
- 15
Single-line Autofixes as GitHub suggestions; opt-in AI Autofixes via OpenAI, and qlty check --fix locally
- 16QodoPR Review
Committable suggestions when inline, single file and five lines or fewer
- 17SemgrepCode Security Platform
Rule-defined deterministic fixes commit from the PR; AI remediation guidance and prose fixes need credits.
- 18SnykCode Security Platform
Snyk Agent Fix returns up to five AI fix suggestions via `@snyk /fix`, applied with `@snyk /apply #`.
- 19
AI CodeFix proposes LLM fixes for CRITICAL, HIGH, MEDIUM issues; Cloud Team/Enterprise, Server Enterprise/Data Center.
- 20
Veracode Fix suggests up to five RAG-matched patches per flaw in CLI and IDE; Pipeline Scan findings only
What to look for
- Which issue types have fixes, and whether they are deterministic or generated
- Whether fixes apply as review suggestions you can accept inline
- Bulk application across many findings at once
- Whether the fix is re-scanned to confirm it resolved the issue
Related terms
FAQ
What is Autofix Suggestions?
Proposing a concrete code change that resolves a finding, usually as a one-click suggestion in the pull request.
How many tools support Autofix Suggestions?
20 of the 20 tools tracked in this directory support Autofix Suggestions, including Codacy, Aikido, ChatGPT / Codex, Checkmarx One, Claude Code. Support is not the same as parity, since some implementations are narrower in scope, gated to a higher plan tier, or maintained only for existing customers. The note under each tool is what its own documentation describes.
What should you look for in Autofix Suggestions?
Which issue types have fixes, and whether they are deterministic or generated. Whether fixes apply as review suggestions you can accept inline. Bulk application across many findings at once. Whether the fix is re-scanned to confirm it resolved the issue.