Automated Code Fixes That Developers Actually Merge
Your scanners generate thousands of findings. Your developers ignore most of them. Pixee generates context-aware pull requests that match your codebase conventions, pass CI, and get merged at a 76% rate across 100,000+ enterprise PRs.
Trusted by Fortune 500 security teams across financial services, retail, and technology














*Metrics measured across enterprise deployments. Pixee Platform Data, 2025.
The Gap Between Finding and Fixing
Your scanners generate thousands of findings. Your developers ignore most of them. The average organization carries 100,000+ open vulnerabilities (Veracode State of Software Security, 2025) because detection without resolution is just documentation of risk.
Pixee generates automated code fixes that close that gap. Not suggestions. Not recommendations. Context-aware pull requests that match your codebase conventions, pass CI, and get merged by developers. Most teams see their first automated fix within one hour of setup.
The difference between a fix that gets merged and one that gets rejected is not raw AI capability — it is context. Generic fix suggestions ignore your team's conventions, miss framework-specific patterns, and introduce breaking changes. Pixee reads your codebase before generating a single line of code.
How Pixee Generates Fixes
Ingest Findings From Any Scanner
Triage First, Fix What Matters
Generate Context-Aware Fixes
- Matches your conventions. Pixee analyzes your existing code to use your validation libraries, error handling patterns, and architectural approach.
- Detects breaking changes. Every fix runs through automated compatibility analysis with 80-90% confidence scoring before a developer sees it.
- Resolves at the root. For SCA findings, Pixee resolves at the root of the dependency tree rather than chasing transitive chains.
Developers Review and Merge
See Automated Fixes in Your Codebase
Book a demo with your actual repositories. No generic slide deck. We will show Pixee generating fixes against your real codebase using your existing scanners.
Book a Demo →What Makes These Fixes Different
| Dimension | Generic AI Fixes | Pixee |
|---|---|---|
| Code conventions | Generic patterns, your team rewrites | Matches your actual codebase style |
| Breaking change risk | Unknown until CI fails | 80-90% confidence scoring pre-review |
| Scanner support | Single scanner | 10+ scanners in unified workflow |
| SCA resolution | Surface-level version bumps | Root-level dependency tree resolution |
| Merge rate | Sub-20% (requires rework) | 76% across 100,000+ enterprise PRs |
| Learning | Static | Adapts to your team's merge/reject patterns |
"We went from spending 80% of our time triaging to spending 80% of our time shipping. The fixes matched our code patterns so closely that developers stopped double-checking them after the first week."
— Security Engineering Lead, Enterprise SaaS
Fix Categories
Pixee generates automated fixes across every major vulnerability category. All categories maintain the same convention-matching and breaking change detection — no fix ships without automated compatibility validation.
SAST Findings
Injection prevention, authentication hardening, input validation, and error handling. Pixee analyzes code paths to produce fixes that match your existing security patterns rather than applying generic templates.
SCA Vulnerabilities
Dependency upgrades with root-level resolution. Transitive chain fixes traced through the full dependency graph with breaking change prediction before the PR opens.
Secrets Exposure
Credential rotation and secure configuration. Pixee generates PRs that remove exposed credentials and update configuration to reference secure storage instead of hardcoded values.
Code Quality Security
Hardening patterns, secure defaults, and defensive coding improvements. Pixee applies security-aware refactors that do not change application behavior but reduce the attack surface.
Proof Points
Frequently Asked Questions
Generic AI fix suggestions generate code without reading your codebase. The result is fixes that ignore your team's conventions, miss framework-specific patterns, and introduce breaking changes. Pixee analyzes your existing code — validation libraries, error handling, naming, test structure — before generating a single line. That is why Pixee achieves 76% merge rate across 100,000+ PRs while generic suggestions hover below 20%.
Pixee natively integrates with 10+ scanners including Snyk, Checkmarx, Veracode, Fortify, SonarQube, Semgrep, CodeQL, and more. All findings flow into a single unified workflow regardless of which scanner discovered them. You do not need to change your existing detection infrastructure.
Every fix runs through automated compatibility analysis with 80-90% confidence scoring before a developer sees it. For dependency updates, Pixee analyzes the full dependency graph and predicts whether the version change will propagate breaking changes. High-risk fixes are flagged for careful review; safe fixes can be approved quickly.
Pixee generates automated fixes across SAST findings (injection prevention, authentication hardening, input validation, error handling), SCA vulnerabilities (dependency upgrades with root-level resolution), secrets exposure (credential rotation and secure configuration), and code quality security (hardening patterns, secure defaults, defensive coding).
Most teams see their first automated fix within one hour of connecting Pixee to their scanners and repositories. The integration uses native API connectivity, so there is no migration, no CI/CD pipeline reconfiguration, and no disruption to developer workflows.
Related Reading
Three Gaps You Can't Prompt Around
Why general-purpose AI models fail at security remediation, and what purpose-built systems do differently.
Read moreAI Wrappers vs Purpose-Built Systems
The structural difference between wrapping an LLM and building a remediation engine that matches codebase conventions.
Read moreThe Triage Automation Playbook
How exploitability analysis collapses thousands of scanner alerts into the handful that actually matter — the prerequisite for automated fixing.
Read moreStop Documenting Risk. Start Shipping Fixes.
Your scanners found the vulnerabilities. Pixee fixes them. Book a demo with your actual repositories and see automated code fixes running against your real codebase.
