CI/CD
A test failure that takes 20 minutes to surface, buries the error in 3000 lines of log output, and gives no context about what changed is nearly useless. Good test reporting transforms raw pass/fail data into actionable signals. Failing fast — stopping the pipeline the moment you have enough information
SOC 2
SOC 2 audits are expensive not because testing is hard, but because evidence collection is a nightmare. Your auditor requests 200 pieces of evidence. You spend two weeks hunting down screenshots of Jira tickets, GitHub access logs, deployment records, and AWS Config snapshots. Then they come back with follow-up
PCI-DSS
PCI-DSS 4.0 made penetration testing requirements significantly more specific than the previous version. Requirement 11.4 now mandates penetration testing methodology documentation, explicit segmentation testing, and application-layer testing — not just network-layer. If your last penetration test was a generic external scan with a summary report, you&
CI/CD
Automated testing is only as good as the pipeline that runs it. You can have the best test suite in the world, but if it runs inconsistently, takes 45 minutes, or gets skipped under pressure, it provides no real safety net. Getting your CI/CD pipeline testing right is what
Python
behave-django hooks Behave into Django's test infrastructure — you get the test database, transactions, fixtures, and the Django test client without any manual wiring. This post covers the full setup, database strategies, authentication scenarios, and how to run Behave alongside your existing Django test suite. Key Takeaways * behave-
Testing
A PHPUnit test suite that takes 10 minutes to run is a test suite that developers learn to avoid. ParaTest splits your test files across multiple parallel processes, turning a 10-minute run into a 2-minute run without changing a single test. This guide covers setup, database isolation, and
Python
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.
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Running tests sequentially is one of the most common bottlenecks in modern development workflows. A test suite that takes 8 minutes to run is a suite developers will avoid running locally — and one that slows down every pull request. Parallel test execution is the most straightforward way to claw that
A test suite that takes 45 minutes to run is a test suite that developers ignore. Long feedback cycles lead to batched commits, context-switching, and eventually developers bypassing tests entirely. Parallelization is how teams with large E2E suites maintain fast feedback loops. This guide covers how to parallelize E2E
Every BDD framework comparison eventually devolves into religious arguments about syntax or tooling preferences. The more useful framing: pick the framework that matches your team's language ecosystem, then learn its constraints. The behavior-driven development value — collaboration, readable specs, living documentation — comes from the process, not the tool.
Paparazzi is a Cash App library that renders Android views and Compose UIs to PNG screenshots on the JVM — no emulator, no device, no ADB. Tests run in seconds instead of minutes. You record a baseline, then any future change that alters the visual output fails the test. This is
Knowing the theory of pairwise testing is one thing. Actually generating test suites is another. The good news: the tooling is mature, free, and takes under an hour to set up. The less-good news: each tool has quirks, and the documentation ranges from sparse to nonexistent in places. This
Behavior-Driven Development (BDD) is a collaboration technique that uses structured natural language to bridge the gap between business requirements and automated tests. It is not primarily a testing tool — it is a communication practice. The tests are the artifact; the collaboration is the point. Key Takeaways BDD starts with
Bazel is a build and test tool originally developed at Google to handle monorepos at extreme scale. Its core guarantees are hermeticity (tests can't accidentally read the network or undeclared files) and caching (identical inputs produce identical cached outputs). This makes Bazel test results fully reproducible and shareable
Testing every possible combination of input parameters is mathematically straightforward and practically impossible. A feature with 10 parameters, each taking 5 values, has 5¹⁰ = nearly 10 million combinations. No team tests that. But most bugs are not caused by exotic 10-way interactions — they are caused by pairs or triples
Two people testing the same feature at the same time sounds inefficient. It isn't. Pair testing consistently surfaces bugs that solo testing misses, accelerates knowledge transfer, and produces better test coverage in less calendar time. This guide covers the mechanics — roles, session structure, when to use it, and
BackstopJS and Percy both solve visual regression testing, but they take fundamentally different approaches. BackstopJS is open source, self-hosted, and free. Percy is a cloud SaaS product with a polished review UI and BrowserStack's infrastructure behind it. The right choice depends on your team size, budget, and
Optimizing PageSpeed without measuring is guesswork. This guide covers how to structure a test-driven approach to performance optimization: establish baselines, validate that changes actually improved things, and prevent regressions with CI integration. Why Testing Optimizations Matters Performance optimizations frequently backfire: * Adding lazy loading to the hero image (the LCP
Visual regression testing catches the bugs that unit tests and integration tests never see — a misaligned button, a font that loaded wrong, a layout that collapsed on tablet. BackstopJS is the most popular open-source tool for this job. It takes screenshots, compares them to approved baselines, and fails your