Test automation tutorials, frameworks, and tools — from first scripts to full CI/CD pipelines.
Test Automation
Running Diffblue Cover locally is useful for one-off coverage boosts. The real leverage comes from integrating it into CI — automatically generating tests when coverage drops, or regenerating tests when code changes. This guide covers the practical setup for Jenkins, GitHub Actions, and GitLab CI. Prerequisites CI integration requires the
Ruby Testing
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.
Testing
Flaky tests are a design problem, not a tooling problem. The most sophisticated CI infrastructure won't make a fundamentally non-deterministic test reliable. The solution is to design tests so they can only produce one result: pass when the application works correctly, fail when it doesn't.
Test Automation
RTOS-based firmware has a reputation for being untestable. Tasks run concurrently, interrupts fire asynchronously, queues link components together, and the whole system only makes sense when everything is running simultaneously on real hardware. But "untestable" mostly means "nobody has tried systematically." With the right techniques,
Test Automation
Desktop app CI is harder than web app CI. You need real operating systems — not just Linux containers — because your app runs on Windows, macOS, and Linux with platform-specific behavior at every layer: native menus, file dialogs, WebView implementations, code signing, and installer formats. GitHub Actions provides hosted runners
Ruby Testing
Testing a Rails application with RSpec involves more than just the base rspec gem. You need rspec-rails for Rails-specific example groups, factory_bot_rails for test data, capybara for browser interaction, and database_cleaner-active_record to keep your database clean between tests. This post covers how to
Test Automation
Design systems are infrastructure. When they break, they break everywhere — every product built on them, every component consuming their tokens. A subtle color shift in your primary token, an unintended spacing change, a font-weight regression: these propagate silently until someone notices in production. Visual regression testing is the safety
Ruby Testing
Test duplication is a real problem. When you have ten model specs that each test the same #timestamps behavior, or five controller specs that each verify authentication, copy-paste is the wrong answer. RSpec gives you two tools for this: shared examples and shared contexts. Shared examples let you define
Test Automation
Flaky tests are the slow rot of test automation programs. A test suite where 20% of failures are non-deterministic trains engineers to ignore red builds.
Test Automation
Running your entire test suite on every commit is safe but slow. A 45-minute test run discourages frequent commits, creates a bottleneck in CI, and provides little additional safety over a well-selected subset of tests. Delta testing — also called change-based testing or test impact analysis — runs only
Ruby Testing
Mocking and stubbing are how you isolate the thing you're testing from everything it depends on. Without them, a unit test that touches a database, an external API, or a slow service stops being a unit test — it becomes an integration test wearing a unit test costume. RSpec
Test Automation
Testing a DeFi protocol is unlike testing any other software. Your contract interacts with Uniswap liquidity pools, Chainlink price oracles, Aave lending markets, and Compound interest rate models—all live, all changing, all outside your control. A naive implementation collapses when prices move, fails when pools are illiquid, or gets