This article reviews Qodo (formerly CodiumAI), an AI tool focused on the often-skipped parts of development: tests and pull request reviews. It examines Qodo's three main tools: Qodo Gen for IDEs, Qodo Merge for PR reviews, and the open-source PR-Agent, assessing their performance with real code.
AI-assisted development transforms the nature of testing, shifting the bottleneck to verification and risk judgment rather than merely increasing the volume of tests. Successful teams are deliberate about what to test and review, establishing clear boundaries for AI's role in the workflow.
TestSprite is an autonomous AI testing agent for developers, automating the creation, execution, and maintenance of test cases, including UI, API, and regression testing. An Indonesian developer provides a positive review, highlighting its easy integration and rapid test generation for an e-commerce project.
The post introduces two-go, an API testing tool that automates request creation and verification. It highlights its AI layer, which enables AI agents to draft test suites, explain failures, and review responses for potential bugs.
Record-and-playback test automation, while historically useful, is no longer a sufficient core product strategy in the AI era. It creates a painful workflow and falls behind AI-native testing workflows.
Claude Code now integrates with Playwright via a dedicated Model Context Protocol (MCP) server, allowing the generation of complete test automation from natural language prompts. This direct bridge empowers developers to describe test scenarios, have Claude write and execute Playwright code, and report results all within the terminal.
The author shares lessons learned from integrating Playwright's AI agents (Planner, Generator, and Healer) into their payment platform testing framework. This post details successes, failures, token costs, and future changes based on personal experience.
AI-powered testing tools are revolutionizing software development QA by automating test creation, maintenance, and execution, replacing slow and error-prone manual processes. Tools like Testim enable 50% faster test creation with self-healing capabilities, while Sauce Labs uses AI to predict test failures, reducing execution time by 70%.
TestSprite is an AI-driven test automation tool designed to simplify software testing processes. This review highlights its strengths, such as AI-generated test cases and an intuitive interface, while noting challenges like limited Chinese documentation and community support.
This guide discusses the challenges of choosing mobile test automation frameworks in 2026, emphasizing fit over popularity. It plans to assess 7 key frameworks and introduce Drizz, a Vision AI testing platform, as a potential solution tailored to specific needs.
This practical cheat sheet focuses on Selenium with Python for test automation, covering installation, browser launch (including headless mode), and element location. It serves as an essential guide for QA engineers and SDETs seeking practical, scalable examples.