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🤖 The Future of SQA: When LLMs Meet RAG — Testing Just Got Smarter
🚀 The QA Evolution: From Clicks to Context
There was a time when Software Quality Assurance meant clicking buttons, logging bugs, and verifying if “the app still works.”
But that world is fading fast.
In 2025, quality is no longer just about detecting failures — it’s about predicting and preventing them before they happen.
Enter the new heroes of QA:
💡 LLMs (Large Language Models) and ⚙️ RAG (Retrieval-Augmented Generation) — the duo redefining how modern QA teams think, test, and deliver software.
🧠 The Rise of AI-Powered QA Systems
Imagine this:
You feed your Jira tickets, design docs, and PR descriptions into an AI QA engine…
and it instantly writes your test cases, automation scripts, and even points out missing acceptance criteria.
Sounds futuristic? It’s already happening.
Here’s how it works 👇
1️⃣ Context Ingestion — The RAG layer retrieves all relevant documentation, commits, and product requirements.
2️⃣ Understanding & Reasoning — The LLM analyzes them and understands what needs to be tested.
3️⃣ Action…
