Shipping Code Quickly: API Acceptance and Integration Testing
Blog post from Basis Theory
Basis Theory’s testing approach prioritizes API acceptance tests over unit tests to provide fast, implementation-independent feedback while validating system behavior through public interfaces such as HTTP requests and responses. Acceptance tests treat applications as black boxes, focus on individual user-visible actions and outcomes, and use controlled mock servers, specification-compliant tools, Docker, and Docker Compose to isolate external dependencies in ephemeral environments. Tests follow Arrange-Act-Assert, or Given-When-Then, conventions and are run locally and in pull-request CI workflows through consistent automation, with post-merge execution depending on artifact and pipeline design. Integration tests similarly use public interfaces but run against deployed, production-like environments to confirm that applications communicate correctly with real external services, databases, and infrastructure, often testing full resource lifecycles. Configurable integration tests can target different environments and run after deployments or on demand, helping teams diagnose failures and block promotion when critical connectivity or behavior checks fail.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.