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Design a testing and validation framework for AI/ML models covering data validation, model evaluation, bias detection, and production monitoring.

Delivers an ML model testing framework with data validation, evaluation metrics, bias detection, and monitoring.

Design a compliance testing framework covering regulatory requirements mapping, automated checks, audit evidence, and continuous compliance validation.

Produces a compliance testing framework with regulatory mapping, automated checks, and audit evidence collection.

Design a chaos engineering practice covering fault injection experiments, steady-state hypotheses, blast radius controls, and resilience validation.

Delivers a chaos engineering framework with fault injection experiments, safety controls, and resilience metrics.

Provision and manage isolated test environments using containers, IaC, and ephemeral deployment strategies.

Provides patterns for provisioning isolated, reproducible test environments using containers and infrastructure as code.

Define meaningful code coverage targets, instrument collection, and use coverage data to improve test quality.

Establishes a code coverage strategy that uses metrics to improve test quality rather than chase vanity percentages.

Parallelize and shard test suites across CI nodes to reduce feedback time without sacrificing reliability.

Reduces CI test execution time by parallelizing and sharding test suites across multiple workers and CI nodes.

Detect, quarantine, and fix flaky tests systematically to maintain CI reliability and developer trust.

Provides a systematic approach to identifying, quarantining, and eliminating flaky tests that erode CI confidence.

Detect leaked secrets in code, commits, and CI pipelines using automated scanning and pre-commit hooks.

Prevents API keys, tokens, and credentials from being committed to repositories using automated detection and hooks.

Automate dependency vulnerability scanning with Snyk, Dependabot, or Trivy to catch known CVEs in CI.

Configures automated dependency scanning to detect and remediate known vulnerabilities in third-party packages.

Integrate OWASP ZAP dynamic security testing into CI to detect runtime vulnerabilities automatically.

Configures OWASP ZAP in your CI pipeline to discover runtime vulnerabilities like XSS, injection, and misconfigurations.

Integrate static application security testing into CI with effective triage workflows to reduce false positives.

Sets up SAST tools in your CI pipeline with triage workflows that surface real vulnerabilities and suppress false positives.

Test frontend performance with Core Web Vitals, Lighthouse CI, and real user monitoring baselines.

Establishes automated frontend performance testing using Lighthouse CI, Web Vitals, and performance budgets.

Design reliable microbenchmarks that measure code performance accurately with proper warmup and statistical rigor.

Teaches you to write statistically valid microbenchmarks that measure real performance without misleading optimizations.

Design stress tests to find breaking points and soak tests to detect memory leaks and degradation over time.

Identifies system breaking points through stress testing and uncovers memory leaks and degradation via soak testing.

Design k6 load test scenarios with realistic traffic patterns, ramp-up profiles, and threshold-based pass/fail.

Helps you create k6 load test scripts with realistic user scenarios, thresholds, and CI-integrated reporting.

Use approval testing to verify complex outputs by comparing against reviewed and approved golden master files.

Implements approval testing patterns where complex outputs are verified against human-reviewed golden master files.

Apply pairwise and combinatorial testing techniques to cover multi-parameter interactions efficiently.

Reduces test case explosion by using pairwise and n-wise coverage to test parameter interactions with fewer cases.

Test stateful systems by defining abstract models and generating random command sequences to find state bugs.

Finds subtle state management bugs by generating random operation sequences and comparing system behavior against a model.

Use property-based testing with fast-check or Hypothesis to discover edge cases example tests miss.

Teaches you to define properties and invariants that are verified against thousands of generated inputs automatically.

Test GraphQL queries, mutations, resolvers, and schema stitching with proper isolation and type validation.

Provides testing patterns for GraphQL APIs covering queries, mutations, subscriptions, resolvers, and schema validation.