Mazylon Linterra
Ship quality code faster. Let AI review every line.
Linterra is the AI engineering quality agent that reviews every pull request for security vulnerabilities, architectural issues, performance bottlenecks, and incomplete specs—before any human sees the code. Integrated natively with GitHub, GitLab, Jira, and Slack, it fits your workflow without friction. Ship faster, with confidence.
Key features
Security Scanning
Detects OWASP Top 10 vulnerabilities, injection flaws, CVE-listed dependencies, and insecure authentication patterns—automatically, on every commit.
Architecture & Refactoring
Flags structural anti-patterns, excessive coupling, and design inconsistencies. Delivers actionable refactoring suggestions to improve readability and long-term maintainability.
Performance Auditing
Identifies N+1 queries, memory leaks, and algorithmic inefficiencies with precise, actionable fix suggestions before they reach production.
Automated API Testing
Seamless Swagger/OpenAPI integration with automatic non-regression test generation—bulletproof APIs from day one, no manual test writing required.
Jira Requirement Intelligence
Validates Jira tickets for clarity and completeness before development starts. Eliminates vague specs, missed edge cases, and misaligned requirements.
Native Integrations
One-click connectors for GitHub, GitLab, Jira, Slack, and CI/CD pipelines. Linterra fits your existing workflow with zero configuration overhead.
How it works
Connect
Integrate with GitHub, GitLab, or your CI pipeline in under 5 minutes. No complex configuration required.
Review
Every pull request triggers a deep AI code review: security, architecture, performance, API tests, and spec validation—automatically.
Prioritize
Issues are ranked by severity with actionable remediation steps. Critical security vulnerabilities and bugs surface first.
Improve
Track code quality trends over time. Your team's velocity and code confidence compound with every sprint.
Ready to ship with zero compromises on quality?
Join engineering teams that catch security vulnerabilities, performance regressions, and incomplete specs—before they ever reach production.