AI trust in testing is the problem of deciding whether an AI system’s output is reliable enough to support release decisions, test creation, coverage analysis, or production workflows. For QA teams, the core issue is that large language model output is nondeterministic, persuasive, and only partially grounded in source evidence — meaning a simple pass… Continue reading Do You Trust AI in Testing? A Framework QA Teams Can Actually Use
Author: Jose Amoros
Jose Amoros is part of the TestQuality marketing team at Bitmodern Inc., where he covers software testing strategy, agentic QA architecture, and AI-powered test management. For the past 4+ years, Jose has authored over a hundred articles on Software Testing areas such as Test Automation, Manual Testing, or QA Best Practices, helping teams streamline their testing workflows. His content dives deep into exploratory testing, test frameworks, and Agile QA strategies, making complex concepts actionable. At TestQuality, he bridges the gap between technical testing concepts and real-world implementation. Passionate about making QA accessible, he believes “great testing starts with understanding both the code and the people who use it.”
Connect with Jose on LinkedIn for more QA insights.
How To Integrate Agentic Testing Into Your CI/CD Pipeline
At a Glance Agentic Testing in CI/CD: Where the Boundary Is and How to Cross It Cleanly AI drafts the tests. Playwright runs them. The CLI governs both. The boundary is strict: Agentic tools belong in the drafting layer — analysis, coverage planning, and script generation. Deterministic frameworks like Playwright or Selenium own execution. Mixing… Continue reading How To Integrate Agentic Testing Into Your CI/CD Pipeline
Agentic Testing and How QA Teams Can Use Claude Code and Terminal Agents
Agentic Testing and QA is a practice in which AI agents operate directly on a project — reading files, planning tasks, generating framework code, and interacting with a browser — rather than simply answering prompts inside a chat window. Tools like Claude Code bring this capability to the terminal, giving QA teams a command-line assistant… Continue reading Agentic Testing and How QA Teams Can Use Claude Code and Terminal Agents
Free and Paid Ways to Run Cloud Code for Agentic Testing and QA
Agentic Testing and QA describes a testing workflow where an AI coding assistant does more than answer one-off prompts. It can inspect a project directory, reason over multiple files, propose test scaffolding, and work in a continuous loop with the engineer — rather than waiting to be prompted at each step. The practical bottleneck for… Continue reading Free and Paid Ways to Run Cloud Code for Agentic Testing and QA
Best Test Case Management Tools for Agile Teams
Agile teams need test case management tools that move at sprint speed, not enterprise crawl. If your current tool feels like it’s slowing your sprints down, it’s time to upgrade. Agile QA relies on how fast you can plan, execute, and report on tests inside a two-week sprint. The tooling matters. According to the Capgemini… Continue reading Best Test Case Management Tools for Agile Teams
Best Practices for Implementing Test Automation in CI/CD
Effective test automation in CI/CD pipelines blends strategy, smart tooling, and AI-assisted workflows to ship faster without breaking quality. Pick a strategy that matches your delivery velocity, then layer in AI-assisted test generation as your automation maturity grows. Software teams are shipping more code than ever, and a lot of that code is now written… Continue reading Best Practices for Implementing Test Automation in CI/CD
Gherkin Software Testing: Syntax, Best Practices, and Pitfalls
Gherkin software testing turns plain-English specifications into executable tests your whole team can read, but only when you stop treating it like a scripting language. If your feature files read like step-by-step UI scripts, you’re doing BDD testing backward. Here’s how to fix that. Behavior-driven development sounds simple on paper: write the behavior in plain… Continue reading Gherkin Software Testing: Syntax, Best Practices, and Pitfalls
What Features Should a QA Test Management System Have?
The right QA test management system features turn QA from a bottleneck into a release-accelerator. Evaluate platforms against your actual workflow, not a generic feature checklist. Free trials and freemium test plan builders make this easier than ever. Picking a QA test management system without knowing exactly which features matter is how teams end up… Continue reading What Features Should a QA Test Management System Have?
Writing Your First Gherkin Test: A Step-by-Step Walkthrough
You can write a working Gherkin test in the next ten minutes, even if you’ve never opened a .feature file before. If you’re new to behavior-driven development and want a working example before you read another theory-heavy explainer, this walkthrough is for you. Behavior-driven development is now mainstream, with test automation the leading area where… Continue reading Writing Your First Gherkin Test: A Step-by-Step Walkthrough
How Does AI-Driven Test Creation Reduce QA Workload?
AI-driven test creation cuts the most time-consuming parts of QA, freeing engineers to focus on strategy, exploration, and edge cases instead of typing the same scenarios over and over. If your QA team is drowning in test backlog, AI-driven test creation is the difference between shipping on time and shipping late. QA teams are buried.… Continue reading How Does AI-Driven Test Creation Reduce QA Workload?