How to Use AI for Test-Driven Development
Leverage AI tools to accelerate test-driven development while maintaining high code quality.
22 articles
Leverage AI tools to accelerate test-driven development while maintaining high code quality.
Write reliable tests with Vitest and React Testing Library.
Learn Vitest for fast unit testing. TypeScript support, parallel execution, and modern testing patterns.
Compare Jest and Vitest testing frameworks. Speed, features, and migration paths.
Test REST APIs with Supertest. Integration testing, mocking, and real-world examples.
Master testing in 2026: unit tests with Vitest, component tests with React Testing Library, E2E tests with Playwright, API testing, and CI/CD integration. Test your Next.js app the right way.
Master agent evaluation: trajectory analysis, tool accuracy, task completion rates, efficiency scoring, and LLM-as-judge evaluation frameworks.
Build code generation agents that parse specs, generate code with examples, validate syntax, run tests, and iterate until code passes.
Build automated evaluation pipelines with LLM-as-judge, DeepEval metrics, and RAGAS to catch quality regressions before users see them.
Test AI systems with mocking, snapshot testing, property-based testing, and regression suites.
Implement consumer-driven contract testing with Pact to verify that APIs and clients agree on their interface without full integration tests.
Test migrations for backwards compatibility, forwards compatibility, rollback safety, and data integrity. Catch schema-code mismatches before deployment.
Master Helm chart design with sensible defaults, comprehensive testing, and promotion pipelines. Scale from single-chart deployments to Helmfile-orchestrated multi-chart platforms.
Implement hexagonal architecture to keep your domain logic framework-agnostic and testable, with ports defining contracts and adapters providing implementations.
Test Terraform modules with Terratest, enforce policies with OPA/Conftest, scan with tfsec, and catch infrastructure bugs in CI before deployment.
Treat prompts as code with version control, A/B testing, regression testing, and multi-environment promotion pipelines to maintain quality and prevent prompt degradation.
Node.js 18+ includes a native test runner. Learn how node:test replaces Jest and Vitest with zero dependencies, built-in mocking, and sub-second test runs.
Move beyond Jest mocks. Use Vitest for ESM support and speed, TestContainers for real databases, MSW for HTTP mocking, and contract testing with Pact for production confidence.
Comprehensive penetration testing checklist: IDOR, authentication bypass, rate limiting, XXE, SSRF, mass assignment, GraphQL introspection, API fuzzing, and ZAP integration.
Manage prompts with version control, automated regression testing, eval datasets, A/B testing in production, and canary deployments for safe prompt evolution.
Master the RAGAS framework and build evaluation pipelines that measure faithfulness, context relevance, and answer quality without expensive human annotation.
Use TestContainers to run real PostgreSQL, Redis, and Kafka in tests. Isolate data per test, parallelize safely, and catch integration bugs before production.