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QA Testing August 21, 2026

How to QA an AI Chatbot When There Is No Single Correct Answer: A Two-Layer Testing Framework

LLMs broke the input-action-expected-result contract that testing has relied on for twenty years. Here is a two-layer framework that separates what can be asserted from what must be scored, with code, thresholds, and the production mistakes we made getting there.

Kunal Rajput

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QA Testing July 17, 2026

Agentic AI in Software Testing: What Autonomous QA Really Means in 2026

Release cycles are shrinking to hours while test suites keep growing, and maintenance eats 30 to 50 percent of a QA engineer's week. Agentic AI promises to close that gap - but "autonomous QA" is also the most over-marketed phrase in the industry. Here is what agentic testing actually does today, where it fails, and how to adopt it safely.

Kunal Rajput

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QA Testing July 10, 2026

AI-Powered Test Automation in 2026: How QA Engineers Can Build Faster, Smarter, and More Reliable Software

Release cycles keep getting shorter while quality expectations keep rising. In 2026, AI is changing how QA teams generate test cases, prioritize regression, self-heal broken automation, and analyze failures. Here is a practical framework for QA engineers, with a real-world example and measurable results.

Kunal Rajput

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QA Testing March 19, 2026

AI-Powered Testing: How Artificial Intelligence is Transforming QA Automation

Traditional automation scripts break under frequent UI changes. AI-powered testing frameworks self-heal, generate smart test cases, and predict defects before they reach production - cutting maintenance effort by 40% or more.

Kunal Rajput

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