Testing
Playwright has become the go-to tool for browser-based regression testing. It's fast, reliable, and supports Chromium, Firefox, and WebKit out of the box. This tutorial walks through setting up a practical regression test suite with Playwright — from project structure to CI integration. Why Playwright for Regression
Testing
Running your entire regression suite on every commit is a solved problem — it's just slow and expensive. The real challenge is figuring out which tests to run when, so you catch regressions as early as possible without waiting two hours for CI. AI-powered test selection is changing
Testing
API synthetic monitoring is the most cost-effective monitoring you can do. No browser, no JavaScript, no rendering — just send an HTTP request and validate the response. A well-configured API monitor can run every 30 seconds for minimal cost and catch outages within a minute. This guide covers the
Test Planning
Test estimation is notoriously difficult because the effort required to test something depends on factors that are often unknown at estimation time — complexity, environment stability, defect rate, and whether the feature actually works as described. This guide covers four practical estimation techniques, when to apply each, and how to present
Test Planning
You can never test everything. Risk-based testing is the discipline of deciding what to test first by quantifying the risk of each test area — multiplying the likelihood of a defect by the impact if it occurs. High-risk areas get tested first; low-risk areas may not get tested
QA Strategy
Most QA processes are inherited, not designed. When you have to build from scratch — new team, new product, or a company that has been shipping without any formal QA — the blank slate is both an opportunity and an obstacle. This guide provides a structured approach to standing up a QA
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 Planning
A test plan is the single document that ties together scope, approach, resources, and schedule for a testing effort. Most teams either skip it entirely or write one so bloated it never gets read. This guide shows you how to write a lean, useful test plan based on the IEEE
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
Comparisons
Qodo and CodeRabbit are both AI-powered PR review tools. The key difference: Qodo also generates unit tests; CodeRabbit doesn't. Qodo costs $30/user/month; CodeRabbit costs $24/user/month. If your team needs test generation alongside PR review, Qodo wins. If you only need review, CodeRabbit is
Testing Tools
CodeRabbit is an AI-powered PR review tool that posts structured analysis on every pull request: summary of changes, bugs found, security issues, logic errors, and improvement suggestions. At $24/user/month, it's one of the more affordable AI code review tools available in 2026. It integrates with
Testing Tools
Qodo (formerly CodiumAI) is an AI code quality platform combining automated test generation with AI-powered PR review. Qodo 2.0, released February 2026, replaced single-pass AI review with a multi-agent architecture that achieved a 60.1% F1 score in comparative benchmarks — the highest among eight tools tested.