Your Developer Should Audit Their Own Code (Most Don't)
Would you buy a house without an inspection? Then why are you accepting software without an audit?
Testing strategies, quality assurance, code review practices, and measurement.
Would you buy a house without an inspection? Then why are you accepting software without an audit?
A CSS change that looks fine locally can silently break your UI in production. Visual regression testing catches those changes automatically by comparing screenshots before and after every deployment.
Poor test data management causes slow tests, flaky tests, and tests that are impossible to understand. Here's how to build a test data strategy that stays maintainable as your codebase grows.
Unit tests verify specific examples. Property-based tests verify that rules hold across hundreds of randomly generated inputs. The bugs they find are the ones you never thought to test for.
When your service depends on five other services, how do you test it without standing up the entire system? Stubs, mocks, and service virtualization are the answer.
E2E tests have a reputation for being slow, brittle, and expensive to maintain. They don't have to be. Here's how to build an E2E suite that stays reliable as your codebase grows.
Code coverage tells you which lines ran during tests. Mutation testing tells you whether your tests would actually catch a bug. The difference is significant.
Contract testing makes your API agreements machine-verifiable, so breaking changes are caught before they reach production and crash your consumers.
The testing pyramid tells you to write more unit tests than integration tests and more integration tests than E2E tests. But what does that actually look like in a real codebase?
Design meaningful performance tests. Create realistic load profiles, identify bottlenecks, and establish baselines.
Measure code quality effectively. Track meaningful metrics, avoid vanity metrics, and improve team practices.
Build a testing strategy for microservices. Balance unit, integration, contract, and end-to-end tests effectively.
Let's discuss how we can help you build reliable software.
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