Your essential resource for AI testing. This category covers quality assurance strategies, evaluation frameworks, and best practices for testing Large Language Models (LLMs) and other generative AI systems. Learn how to ensure your AI applications are safe, reliable, and ready for production.
35 articles
AI Testing
Evaluating an AI test case builder is less about how flashy the AI looks in a demo and more about how cleanly it drops into the stack your team already runs. Score every candidate on…
Jose Amoros · · 9 min read
AI Testing
At a Glance CLI Coding Agents for QA: What You Actually Get Terminal-resident, repo-aware, and capable of running your entire test loop autonomously. Scope advantage: CLI agents operate…
Jose Amoros · · 17 min read
Agentic QA
At a Glance Generative AI for QA: Where Generation Ends and Orchestration Begins The real shift is not better prompts. It is better workflow design. The verification gap: According to the…
Mike Swindell · · 19 min read
Agentic QA
At a Glance Human in the Loop Testing: Where AI Ends and QA Judgment Begins The question isn’t whether to use AI in QA. It’s knowing exactly where to keep a human in control. The core risk:…
Jose Amoros · · 17 min read
Agentic QA
Pi Coding Agent is a minimal terminal coding harness built by Earendil Inc. that gives large language models direct read, write, edit, and bash access to a local codebase. It runs locally,…
Jose Amoros · · 20 min read
AI Testing
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…
Jose Amoros · · 17 min read
AI Testing
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…
Jose Amoros · · 12 min read
Agentic QA
At a Glance Why Traditional Automation Fails AI Systems — and What to Do Instead Pass/fail is not enough when your system can hallucinate, drift, or refuse incorrectly. The core shift: AI…
Jose Amoros · · 18 min read
AI Testing
At a Glance How to Test AI Agents: What Every QA Team Needs to Know A correct final answer does not mean a correct agent — trajectory matters as much as outcome. Dual-layer evaluation:…
Jose Amoros · · 21 min read
Agentic QA
Key Takeaways Agentic Memory: The Persistence Layer Beyond RAG Stop rebuilding context every session. Start writing it once and remembering it forever. Silent Semantic Errors Dominate…
Jose Amoros · · 16 min read
AI Testing
AI test case generators are spreading across QA teams, with Gartner predicting that 80% of engineers will need to upskill by 2027. Prioritize platforms that unify AI test generation with…
Jose Amoros · · 10 min read
AI Testing
An AI test case builder can reduce regression testing time while improving test coverage and catching defects earlier in the development cycle. Start treating AI as a testing partner rather…
Jose Amoros · · 10 min read
AI Testing
AI test case generation delivers measurable ROI when paired with human expertise, but manual writing remains essential for exploratory scenarios and complex business logic. Organizations…
Jose Amoros · · 9 min read
Agentic QA
At a Glance Free vs. Enterprise: The 2026 Decision Framework Not all Jira AI integrations are built the same. Most are wrappers. One is a reasoning agent. Best Free/Hybrid Agent:…
Jose Amoros · · 12 min read
AI Testing
Human testers aren’t being replaced; they’re being repositioned as quality strategists who guide AI-powered workflows. Stop asking whether AI will take your job, and start asking how AI…
Jose Amoros · · 12 min read
AI Testing
AI-powered Gherkin generation eliminates the bottleneck of manually translating requirements into executable BDD scenarios. Start treating AI as your BDD co-pilot, not a replacement for your…
Jose Amoros · · 12 min read
AI Code Generator
Choosing the right AI test case builder requires evaluating integration depth, output quality, and team readiness rather than chasing feature lists. Start your evaluation by mapping your…
Jose Amoros · · 12 min read
AI Testing
AI tools for software testing have evolved from experimental add-ons into essential components of modern QA workflows. Start by identifying your biggest testing bottleneck, then select AI…
Jose Amoros · · 11 min read
AI Testing
AI test management software has evolved from experimental technology to essential QA infrastructure, with 68% of organizations actively integrating generative AI into their quality…
Jose Amoros · · 11 min read
AI Testing
AI test automation frameworks are transforming how teams build, execute, and maintain test suites by embedding intelligence directly into the testing workflow. Start small with a pilot…
Jose Amoros · · 11 min read
AI Testing
AI test case generation has shifted from experimental pilot programs to essential QA infrastructure, enhancing how teams approach test design and execution. Teams that delay AI testing…
Jose Amoros · · 10 min read
AI Testing
AI test case generation promises efficiency gains, but implementation challenges can derail even well-funded QA initiatives. The path forward requires choosing platforms designed for…
Jose Amoros · · 11 min read
AI Testing
Choosing the right AI test case builder requires evaluating integration depth, not just feature lists. Evaluate AI test case builders based on how they enhance your current workflow rather…
Jose Amoros · · 10 min read
AI Testing
AI transforms CI/CD testing from reactive bug detection into proactive quality assurance that accelerates release cycles while improving software reliability. Start embedding AI into your…
Jose Amoros · · 10 min read
AI Testing
AI test case generation tools are transforming how QA teams create, maintain, and execute tests by automating repetitive work and improving coverage. Teams that adopt AI for QA now will…
Jose Amoros · · 10 min read
AI Testing
AI-powered test case design can slash creation time by up to 80%, but manual expertise remains essential for context-rich scenarios that require human judgment. Teams that master the balance…
Jose Amoros · · 8 min read
AI Testing
AI in QA testing is changing what testers do daily, but it’s creating opportunity rather than obsolescence for professionals who adapt. QA leads and engineers who develop AI fluency now will…
Jose Amoros · · 10 min read
AI Testing
AI testing limitations are real and well-documented, making human-in-the-loop QA essential for delivering quality software in 2026 and beyond. Balance your automation investments with human…
Jose Amoros · · 10 min read
AI Code Generator
Key Takeaways: The Rise of Agentic AI Introduction The landscape of software development is undergoing a profound transformation. We are witnessing a collision between unprecedented…
Jose Amoros · · 8 min read
AI Code Generator
The buzz around AI-generated code is undeniable. From intelligent autocompletion to entire function generation, AI is rapidly changing how we write software. Developers are experiencing…
Jose Amoros · · 5 min read
New articles, testing tips and guides, once a week.
