AUTOMATED CODE FIXES

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

DeltaStream
NTT Data
Nippon Steel
HCL
Oracle
Olympus
Moneygram
Stirling PDF
DeltaStream
NTT Data
Nippon Steel
HCL
Oracle
Olympus
Moneygram
Stirling PDF
76%
DEVELOPER MERGE RATE
95%
FALSE POSITIVES ELIMINATED
100K+
ENTERPRISE PRs GENERATED
1 HR
TO FIRST AUTOMATED FIX

*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 01

Ingest Findings From Any Scanner

Pixee natively integrates with 10+ scanners including Snyk, Checkmarx, Veracode, Fortify, SonarQube, and Semgrep. All findings flow into one unified workflow regardless of which tool discovered them. No manual export or import. Your existing detection infrastructure stays in place.
TRIAGE 02

Triage First, Fix What Matters

Before writing a single fix, Pixee eliminates 95% of false positives through exploitability analysis. Codebase-aware reachability verification, security control detection, and dependency invocation analysis ensure your team only fixes genuinely exploitable vulnerabilities — not theoretical risks buried in dead code paths.
GENERATE 03

Generate Context-Aware Fixes

For each confirmed vulnerability, Pixee generates a pull request that:
  • 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.
MERGE 04

Developers Review and Merge

Developers receive clean PRs with clear explanations of what changed and why. No rework, no research, no guesswork. Three out of four fixes get merged on first review across 100,000+ enterprise PRs. Your team becomes reviewers instead of fix authors.

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

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

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

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.

HARDENING

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

76%
merge rate across 100,000+ pull requests — not a lab metric, real developers merging in production
95%
false positive reduction before a single fix is written — triage automation ensures you only fix what is actually exploitable
1 HR
to first fix. Connect your scanner, connect your repository, and Pixee begins generating fixes. No pipeline changes required.

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.