AI

2 articles

Abstract visualisation of an AI model, representing the verification layers enterprise teams need around machine-generated code

Testing AI-Generated Code: A QA Framework for Enterprise Teams

Testing AI-generated code is the practice of verifying machine-written code against security, correctness, and maintainability standards before it reaches production. It matters because Veracode's Spring 2026 research found roughly 45% of AI-generated code introduces a known security vulnerability when no security guidance is given.

Sep 5, 2026 · 21 min

AI assistant helping QA team generate test cases and automation scripts

AI in Software Testing: How LLMs Are Transforming QA in 2026

Large language models (LLMs) like GPT-4, Claude, and Gemini are revolutionizing software testing by automating test case generation, analyzing requirements for testability, generating test data, and even writing automation scripts. AI-assisted testing reduces test creation time by 60-70% while improving requirement coverage by 40%.

Aug 12, 2024 · 29 min