Playwright
Playwright offers three paths to AI-assisted test generation: classic codegen for manual recording, the new Generator agent for AI-driven creation from a plan, and the @playwright/test-generator programmatic API. Each fits a different workflow. This guide shows all three with real code examples. Key Takeaways Classic npx
Shift-Left Testing
The average data breach costs $4.45 million. The average time to identify one is 204 days. Both numbers drop dramatically when security testing moves earlier in development — a practice called shift-left security or DevSecOps. This guide covers how to integrate security testing into your development workflow so vulnerabilities
Testing
Game testing is often manual — play through levels, look for bugs. But most game logic is testable code: inventory systems, physics interactions, AI decisions, save/load functionality. The Unity Test Framework brings standard unit and integration testing to game development. This guide covers how to write meaningful automated tests for
Testing
Webhooks are notoriously hard to test. They arrive asynchronously, carry cryptographic signatures, and the service sending them is usually not your code. Mock servers solve this by letting you simulate incoming webhook events locally — without waiting for real events from Stripe, GitHub, or Shopify. This guide shows how to set
Testing
Testing IoT firmware is hard. You need hardware that may be scarce, expensive, or not yet manufactured. A device crash takes seconds to reproduce but hours to debug without proper tools. Simulators change this equation — they let you run firmware tests on any CI server without touching real hardware. This
Playwright
Playwright v1.50+ ships three first-party AI agents — Planner, Generator, and Healer — that together automate the entire test lifecycle from exploration to repair. They are built into core Playwright, not plugins, and they change how developers write and maintain E2E tests. Key Takeaways Planner explores your app and produces
Testing
Real-time applications — live dashboards, collaborative tools, chat systems, notification feeds — are notoriously hard to test. Events arrive asynchronously, timing matters, and traditional request/response testing patterns don't apply. This guide covers every approach you need. Why Real-Time Testing Is Different Traditional REST API testing is synchronous:
Testing
Choosing between Server-Sent Events and WebSockets is a common architectural decision. Both enable real-time data delivery, but they have fundamentally different characteristics that require different testing approaches. This guide compares them — and shows you how to test each effectively. SSE vs WebSocket: The Key Differences Feature SSE WebSocket
Testing
Socket.IO is the most popular WebSocket library for Node.js — it powers real-time chat apps, multiplayer games, collaborative tools, and live dashboards. Testing Socket.IO requires a different approach than testing REST APIs: you're testing bidirectional event streams, not request/response pairs. Here's everything
Testing
Long polling is a technique where the client sends an HTTP request that the server holds open until data is available — then responds and the client immediately sends another request. It's older than WebSockets or SSE, but still widely used for compatibility, simplicity, and firewall traversal. Testing long
Testing
Translation files are the source of truth for your localized UI, yet they are often the least tested part of a software project. Developers add keys in English and hand them off to translators, but nobody systematically verifies that the translation files stay in sync, that pluralization rules are correct,
AI Testing
Building applications on top of the OpenAI API — GPT-4, GPT-4o, embeddings, DALL-E — requires a solid test strategy. LLM outputs are non-deterministic, calls cost money, and rate limits punish naive test suites. This guide gives you a complete Python testing framework for OpenAI-powered applications. The Core