Testing & Security

Develop lightweight Flask APIs with routing, blueprints, database integration, authentication, and request/response handling. Use when building RESTful APIs, microservices, or lightweight web services with Flask.

Manage SSL/TLS certificates with automated provisioning, renewal, and monitoring using Let's Encrypt, ACM, or Vault.

Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifecycles.

Gate 3 of development cycle - ensures unit test coverage meets threshold (85%+)for all acceptance criteria using TDD methodology.

Implement Zero Trust security model with identity verification, microsegmentation, least privilege access, and continuous monitoring. Use when building secure cloud-native applications.

Structured workflow for infrastructure security audits including compliancevalidation, vulnerability assessment, and security posture review.

Manage monorepo architectures using Lerna, Turborepo, and Nx. Configure workspaces, dependency versioning, and cross-package testing.

Implement secure session management systems with JWT tokens, session storage, token refresh, logout handling, and CSRF protection. Use when managing user authentication state, handling token lifecycle, and securing sessions.

Implement secrets management with HashiCorp Vault, AWS Secrets Manager, or Kubernetes Secrets for secure credential storage and rotation.

Build end-to-end automated tests that simulate real user interactions across the full application stack. Use for E2E test, Selenium, Cypress, Playwright, browser automation, and user journey testing.

Generate realistic, consistent test data using factories, fixtures, and fake data libraries. Use for test data, fixtures, mock data, faker, test builders, and seed data generation.

Create comprehensive API reference documentation with OpenAPI/Swagger specs, REST endpoints, authentication, examples, and SDKs. Use when documenting REST APIs, GraphQL APIs, endpoint documentation, or OpenAPI specifications.

Evaluate test suite quality by introducing code mutations and verifying tests catch them. Use for mutation testing, test quality, mutant detection, Stryker, PITest, and test effectiveness analysis.

Flaky test fix pattern - replaces arbitrary timeouts with condition pollingthat waits for actual state changes.

Prevent SQL injection attacks using prepared statements, parameterized queries, and input validation. Use when building database-driven applications securely.

Implement secure webhook systems for event-driven integrations, including signature verification, retry logic, and delivery guarantees. Use when building third-party integrations, event notifications, or real-time data synchronization.

Expert guidance for Dagster data orchestration including assets, resources, schedules, sensors, partitions, testing, and ETL patterns. Use when building or extending Dagster projects, writing assets, configuring automation, or integrating with dbt/dlt/Sling.

Conduct comprehensive web performance audits. Measure page speed, identify bottlenecks, and recommend optimizations to improve user experience and SEO.

Build compelling business cases to justify investments and secure funding. Quantify benefits, assess costs, manage risks, and present compelling ROI arguments to leadership.

Skill testing methodology - run scenarios without skill (RED), observe failures,write skill (GREEN), close loopholes (REFACTOR).