A generative AI–powered assistant designed for work that can be tailored to your business data and code.
Amazon Q represents AWS's flagship generative AI orchestration layer, specifically engineered to bridge the gap between foundation models and enterprise-specific operational data. Unlike generic chat interfaces, Amazon Q is architected into two distinct specialized tracks: Amazon Q Developer and Amazon Q Business. The Developer track integrates directly into IDEs and the AWS Management Console, utilizing agents to perform autonomous tasks such as Java version upgrades, security vulnerability remediation, and feature implementation. The Business track leverages high-performance Retrieval-Augmented Generation (RAG) to index over 40+ enterprise data sources—including Salesforce, ServiceNow, and SharePoint—enabling employees to query proprietary internal knowledge with high precision. By 2026, Amazon Q has evolved into a central 'Command Center' for cloud operations, offering predictive infrastructure scaling and automated cost-optimization logic. Its architecture prioritizes data sovereignty, ensuring that customer data used for prompts or indexed via connectors is never utilized to train the underlying foundation models, addressing the critical security requirements of regulated industries like finance and healthcare.
Automatically analyzes legacy Java codebases and performs end-to-end upgrades to newer versions (e.g., Java 8 to 17 or 21) including dependency updates.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Pre-built connectors for 40+ sources that index data in-place without requiring complex ETL pipelines.
Interprets natural language queries to diagnose network connectivity issues within AWS Virtual Private Clouds.
A low-code capability that allows users to generate functional business applications from a natural language prompt based on their data.
Scans code for vulnerabilities (OWASP Top 10) and provides one-click 'Apply Fix' buttons that rewrite code to be secure.
Integration with Amazon QuickSight to allow users to build dashboards and perform data storytelling via natural language.
Configurable content filters that allow organizations to block specific topics, PII data, or harmful content at the model level.
Manually upgrading legacy Java 8 applications to Java 17 is time-consuming and prone to dependency errors.
Registry Updated:2/7/2026
Q automatically updates pom.xml and refactors deprecated code.
Review the generated summary and run automated tests provided by Q.
Employees struggle to find specific PTO or insurance policies hidden in massive SharePoint/PDF directories.
Cloud architects need to understand why their AWS bill spiked unexpectedly last month.