Insights on Software Development & Technical Talent
QAT Global Insights Blog
Explore QAT Global Insights Blog, a dynamic hub for CEOs, engineers, designers, and entrepreneurs. Dive into concise articles covering methodologies, engagement models, modernization, and cutting-edge technologies. Stay updated on industry trends, challenges, and innovative solutions, empowering your enterprise to thrive.
The Reflection Pattern: Why Self-Reviewing AI Improves Quality—and Where It Fails
The Reflection Pattern allows AI agents to review and revise their own outputs, significantly improving clarity, structure, and perceived quality. However, in enterprise systems, reflection alone cannot guarantee correctness, compliance, or auditability, making it effective only when paired with evaluation, governance, and human oversight.
Latest Posts
Microsoft Foundry: Architectural Foundations for Building Enterprise-Scale AI Systems
AI Glossary – Making Sense of the AI Language Revolution
The Essential Agentic Workflow Patterns Enterprises Use to Build Production-Ready AI Systems
AI Data Quality Mistakes That Sabotage Your AI Strategy
From Guessing to Knowing: How Retrieval-Augmented Generation (RAG) Builds Trustworthy Enterprise AI
