React Native
A hands-on guide to Detox E2E testing in React Native, covering project setup, device and element APIs, synchronization with async operations, and running Detox in CI environments like GitHub Actions. Detox is the industry-standard end-to-end testing framework for React Native. Unlike Jest + RNTL which runs in
Testing
Rust CLI applications have a unique testing challenge: you can unit test the business logic, but testing the actual binary — argument parsing, output formatting, exit codes — requires running the compiled program. assert_cmd is the standard crate for this. This guide covers end-to-end CLI testing with assert_cmd
Testing
Running Detox tests in CI requires matching simulator/emulator availability to your runner OS, caching dependencies, and handling the slow parts (app builds, simulator boot) efficiently. This guide covers complete CI configurations for GitHub Actions and GitLab CI for both iOS and Android. Key Takeaways * iOS requires macOS runners — this
Test Strategy
Unit tests catch logic errors. Integration tests catch interface mismatches. But a category of bugs only appears when software runs in the real world — under load, with real data, in unpredictable sequences. Runtime testing is the discipline for finding those. This guide covers the strategies, tools, and thinking behind effective
Testing
Flaky Detox tests almost always come from one of three sources: broken synchronization (the app isn't idle when Detox thinks it is), poor test isolation (state from one test bleeds into the next), or incorrect element selectors (the testID you're targeting doesn't exist in
Continuous Testing
Continuous testing is the backbone of a high-velocity engineering team. Without it, every deployment becomes a gamble.
Testing
qTest reporting converts raw test execution data into information that QA leads, project managers, and executives can act on.
AI-powered QA automation for developers and engineering teams.
Unit tests verify that individual functions and components work correctly.
RSpec is the dominant testing framework in the Ruby ecosystem. It's been around since 2005 and has shaped how Ruby developers think about tests.
The biggest bottleneck in load testing isn't script writing—it's infrastructure.
Behave and the Python requests library are a natural pairing for API testing. You write scenarios in plain Gherkin that non-developers can read, while step definitions handle the HTTP calls. This post walks through project setup, reusable context objects, authentication flows, and error-case testing — all with working code.
No team has enough time to test everything. Risk-based testing is the discipline of deciding where to focus, based on a systematic assessment of what's most likely to fail and what the consequences would be if it did. It sounds obvious — test the important things first. But
The RAG evaluation tooling landscape has exploded. RAGAS, TruLens, DeepEval, UpTrain, Arize Phoenix — there are at least a dozen frameworks claiming to be the definitive way to measure RAG quality. Evaluating the evaluators is its own non-trivial problem. Most teams pick the first framework they encounter, discover it does
Automated dependency updates are your first line of defense against supply chain vulnerabilities.
At 10 tests, test data management is easy. You have a few fixture files, maybe a before_each that resets a table or two, and everything works.
SLOs and SLAs describe what your system promises. Tests verify whether those promises hold.
The average Node.js application has over 1,000 transitive dependencies. The average Python project has hundreds.
Web application security testing with Burp is intuitive when there's a browser to proxy.
Integration tests are slow, brittle, and expensive to maintain. You spin up multiple services, wire them together in a test environment, and hope that everything behaves the way it did last Tuesday. When a test fails, you spend twenty minutes figuring out whether the problem is in the consumer, the