Agentic testing is a quality assurance approach where autonomous AI agents plan, execute, and refine test workflows without prewritten scripts. Powered by large language models, these agents perceive application UIs, reason through workflows, and self-heal when the software underneath them changes — operating closer to how a human tester works than to how a traditional automation framework runs.
5 articles
Agentic QA
MCP server testing is the practice of validating that a Model Context Protocol server exposes the right tools, passes the right context, preserves session state across turns, and returns…
Jose Amoros · · 20 min read
Agentic QA
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…
Jose Amoros · · 9 min read
Agentic QA
Chrome DevTools is the built-in browser inspector and debugger that ships with Google Chrome, giving testers ground-truth visibility into DOM state, network traffic, device rendering, and…
Jose Amoros · · 19 min read
Agentic QA
Opening Definition A 90-day Agentic Testing and QA roadmap is a structured learning plan that combines daily JavaScript and TypeScript practice with hands-on Playwright automation and…
Jose Amoros · · 15 min read
Agentic QA
Key Takeaways The Discipline That Separates Reliable AI Agents From Technical Debt Factories Programmatic boundaries. Builder-validator chains. Verified outputs. Context engineering replaces…
Jose Amoros · · 12 min read
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