Test automation tutorials, frameworks, and tools — from first scripts to full CI/CD pipelines.
No-Code Testing
If you've been manually clicking through the same five workflows before every release, you already know the problem. Manual regression testing is slow, error-prone, and doesn't scale. But every time someone mentions automated testing, the conversation turns to code — Selenium, Cypress, Playwright — and suddenly it sounds
Playwright
Playwright has become the gold standard for browser automation. Released by Microsoft in 2020, it quickly surpassed Selenium and gave Cypress serious competition, offering faster test execution, better support for modern web patterns (shadow DOM, iframes, async operations), and a genuinely excellent developer experience. There's one problem: Playwright
No-Code Testing
Few debates in QA generate more heat than codeless versus scripted testing. On one side: developers who view codeless tools as toys, insufficient for "real" testing. On the other: product teams who see scripted testing as an unnecessary barrier that concentrates quality ownership in a bottleneck. Both sides
Salesforce Testing
Salesforce is the world's most widely deployed CRM platform, and testing it properly is one of the most demanding challenges in enterprise QA. Between dynamic element IDs that change with every release, complex multi-org architectures, sandbox refresh cycles that break test data, and the ever-expanding surface area of
Selenium
Selenium WebDriver remains one of the most widely used browser automation tools in the industry. Whether you're applying for an automation engineer role at a startup or a senior SDET position at a large enterprise, Selenium questions are almost certain to come up. This guide covers 40 of
SAP Testing
SAP landscapes are among the most complex environments in enterprise software. A typical SAP deployment spans dozens of modules — FI, CO, MM, SD, HR, and more — each with thousands of transaction codes, intricate business process dependencies, and years of accumulated customizations. Testing these systems rigorously is not optional; an untested
Microsoft Dynamics
Microsoft Dynamics 365 is one of the most widely deployed enterprise platforms, spanning CRM (Customer Engagement), ERP (Finance and Operations), and a growing suite of industry-specific applications. Testing Dynamics 365 effectively requires understanding the significant technical differences between its two main application families and choosing the right tools for each.
AI Testing
Every vendor in the testing space is marketing AI. "AI-powered," "intelligent automation," "autonomous testing" — the terminology is everywhere and most of it means very little. Meanwhile, a subset of these claims are describing real capabilities that genuinely change how testing works. The challenge for
QA Strategy
Startup QA is not about covering everything — it's about protecting what matters most while moving at startup speed. This guide covers how to decide what to test first, when automation pays off, and how to build a quality culture that scales with the team without becoming a bottleneck.
Test Automation
Quality observability means using data from production — real user behavior, errors, performance metrics — as direct input for your test suite. Instead of guessing which scenarios matter most, you test what users actually do. This guide covers how to implement quality observability using health checks, production monitoring, and feedback loops that
AI Testing
Qodo (formerly CodiumAI) generates unit tests automatically using AI. Install Qodo Gen in VS Code or JetBrains, select a function, run /test, and get a complete test file with assertions for happy paths, edge cases, and error scenarios. This guide covers setup, the test generation workflow, and what to do
AI Testing
By 2026, more than half of code committed to GitHub is generated or substantially assisted by AI tools like Claude Code, Cursor, and GitHub Copilot. AI-generated code ships faster and introduces failure modes that traditional testing approaches miss. This guide covers how to build a testing strategy that scales with