Browse QA Skills

Anonymizing production data for testing while maintaining referential integrity, data distributions, and edge case representation.

Master the Test-Driven Development approach with Red-Green-Refactor cycles, writing tests before code, comprehensive coverage patterns, and quality code practices for building robust, maintainable software.

Optimizing test suite execution speed with parallelization, test splitting, caching, selective test execution, and test impact analysis.

Automated responsive design testing across breakpoints, viewports, and devices with visual comparison and layout verification.

Static application security testing using Semgrep for finding vulnerabilities, code smells, and enforcing security policies across codebases.

Testing multi-tenant application isolation including data segregation, tenant-specific configuration, cross-tenant access prevention, and performance isolation.

IoT device testing including firmware validation, protocol testing (MQTT, CoAP), power consumption testing, and over-the-air update verification.

Swift testing with XCTest, Swift Testing framework, async/await testing, SwiftUI preview testing, and performance measurement.

Scalable mobile testing using cloud device farms like AWS Device Farm, BrowserStack, and Firebase Test Lab for cross-device compatibility.

Security testing for LLM-powered applications including prompt injection, jailbreak detection, data leakage prevention, and AI safety testing.

Automated open-source license compliance testing to detect license conflicts, copyleft violations, and license compatibility issues in dependencies.

Approval testing methodology using ApprovalTests library for verifying complex outputs against human-approved results with diff-based review.

Canary deployment validation testing including traffic splitting, metric comparison, automatic rollback triggers, and health score calculation.

Enforces rigorous verification evidence before any claims of task completion, preventing false positives, untested deployments, and premature celebration with a structured gate function.

Verifying data integrity constraints, referential integrity, data type validation, and consistency checks across database operations.

Write clear bug reports with reproduction steps and severity classification

Testing distributed tracing implementations including context propagation, span correlation, baggage handling, and trace sampling verification.

Testing in ephemeral preview environments for pull requests including environment provisioning, data seeding, and automated teardown.