Testing
SonarQube and CodeClimate are both code quality platforms, but they serve different teams. SonarQube is deeper and more configurable for enterprise; CodeClimate is simpler, faster to adopt, and better integrated with GitHub. This guide compares them across features, CI integration, and team fit. Overview Both tools analyze code for quality
Testing
Magento 2 has a built-in test framework covering unit tests, integration tests, and functional tests via MFTF (Magento Functional Testing Framework). This guide covers each layer with practical examples — from isolated PHP unit tests to full browser checkout flows. Magento 2 Test Architecture Magento 2 ships with four test types:
Security Testing
SAST (Static Application Security Testing) analyzes source code without running it. DAST (Dynamic Application Security Testing) tests the running application by sending malicious inputs. SAST finds vulnerabilities early in development; DAST finds vulnerabilities that only appear at runtime. Use both: SAST in CI on every pull request, DAST against a
Testing
SonarQube quality gates block merges when code doesn't meet your team's standards — coverage thresholds, duplication limits, security ratings. This guide covers the full integration: running tests with coverage, sending results to SonarQube, and failing CI when the quality gate fails. What Are SonarQube Quality Gates? A
Testing
WooCommerce testing spans three layers: PHP unit tests for plugin logic, REST API tests for order and product management, and end-to-end browser tests for checkout flows. This guide covers all three with practical setup and examples. WooCommerce Testing Overview Testing a WooCommerce store is different from testing a standard application
Testing
The test pyramid is the most misunderstood model in software testing. Most teams know the shape but not the reasoning behind it — and that leads to costly anti-patterns. This guide explains the original model, why ratios matter, how to adapt them for different architectures, and when it's correct
Security Testing
Burp Suite is the industry-standard web application security testing platform. The Community Edition is free and covers proxy interception, manual testing, and the repeater for request manipulation. This guide covers setup, proxying browser traffic, intercepting and modifying requests, using Repeater and Intruder for manual testing, and testing for common OWASP
Testing
Great Expectations (GX) is the de facto standard for data quality validation in ML pipelines. It lets you define data expectations as code, validate datasets before training, and generate visual data quality reports. This guide covers setup, writing expectations, checkpoints, and pipeline integration. Why Data Validation Matters for ML The
Testing
Memory bugs in C/C++ are notoriously hard to reproduce — use-after-free, buffer overflows, and memory leaks often cause failures far from their origin. Valgrind and AddressSanitizer (ASan) catch these at the point of occurrence with precise diagnostics. This guide shows you how to use both tools and integrate them into
Testing
Firebase Functions testing uses two approaches: unit tests with mocked Firebase SDKs (fast, no infrastructure), and integration tests with the Firebase Emulator Suite (accurate, uses real Firestore, Auth, and Storage emulators locally). The Firebase Test SDK (@firebase/rules-unit-testing) simplifies emulator interaction in tests. Key Takeaways The Firebase Emulator Suite runs
Testing
ML models degrade silently as the world changes. Data drift tests verify that incoming features match training distribution. Concept drift tests detect when the relationship between features and labels has changed. This guide covers both with Evidently, Alibi Detect, and CI integration. The Drift Problem You deploy a credit risk
Testing
Google Mock (GMock) is the mocking library bundled with Google Test. It lets you define mock objects from interfaces, set expectations on method calls, control return values, and verify interactions — all within your existing gtest suite. This guide covers everything from basic MOCK_METHOD to advanced argument matching. Why Mocking?