AI review & fixes
What are 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 (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.
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
Best 20 code quality, security and code review tools with autofix suggestions
Every tool in the directory whose documentation covers this. Shown in a random order that changes on every visit, so no tool gets an advantage from its position.
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.
Code Security Platform
AutoFix suggests dependency, SAST, IaC and secret-rotation fixes; compatibility tested
AI Coding Agent
Findings carry remediation guidance; '@codex fix the P1 issue' starts a cloud chat with PR context.
Code Security Platform
AI Security Champion gives confidence score, explanation, and proposed remediation; KICS and IDE auto-remediation.
AI Coding Agent
/code-review --fix edits the working tree; /claude-security drafts F<n>.patch files for manual git apply.
Code Quality Platform
One-click and batch fixes for ESLint, Opengrep, markdownlint; free IDE autofix for four languages.
PR Review Tool
Suggested fixes applied before merge, including fix-in-IDE direct application and auto-apply
PR Review Tool
One-click fixes for linter findings and committable code suggestions; autofix listed under Pro
Code Quality Platform
CodeScene ACE proposes AI refactorings in the IDE, validated by a secondary fact-checking AI
Code Security Platform
AI generates and quality-checks a fix; auto-fix quota included from Free upward
PR Review Tool
Findings include fix suggestions plus Fix in Cursor, Fix in Web, or ask the in-PR agent.
Code Quality Platform
Autofix button generates fixes for all occurrences of an issue; metered by AI credits, usage-priced on Open Source.
AI Coding Agent
Inline code suggestions in PR reviews that can be committed directly from GitHub.
Code Security Platform
Copilot Autofix generates code fix plus explanation for CodeQL alerts; no Copilot subscription required
PR Review Tool
Most inline comments include an applicable code suggestion
Code Quality Platform
Single-line Autofixes as GitHub suggestions; opt-in AI Autofixes via OpenAI, and qlty check --fix locally
PR Review Tool
Committable suggestions when inline, single file and five lines or fewer
Code Security Platform
Rule-defined deterministic fixes commit from the PR; AI remediation guidance and prose fixes need credits.
Code Security Platform
Snyk Agent Fix returns up to five AI fix suggestions via `@snyk /fix`, applied with `@snyk /apply #`.
Code Quality Platform
AI CodeFix proposes LLM fixes for CRITICAL, HIGH, MEDIUM issues; Cloud Team/Enterprise, Server Enterprise/Data Center.
Code Security Platform
Veracode Fix suggests up to five RAG-matched patches per flaw in CLI and IDE; Pipeline Scan findings only
Related terms
FAQ
What are autofix suggestions?
Proposing a concrete code change that resolves a finding, usually as a one-click suggestion in the pull request.
How many tools in the directory offer autofix suggestions?
All 20 tools in this directory offer autofix suggestions:
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 check when comparing tools with autofix suggestions?
Four things:
- 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