Overview
Amazon Q is AWS's family of generative AI assistants. Q Developer accelerates coding with inline suggestions, transformations (Java, .NET, mainframe), and security scans. Q Business is an enterprise assistant that connects to 40+ data sources (SharePoint, Salesforce, Google Drive, Confluence) and answers questions while respecting access controls. Q in Connect helps contact center agents in real-time with knowledge and next-best actions.
Key concepts
- Code suggestions, refactoring, and modernization
- Document Q&A with row-level security
- Transformation agents — Java upgrades, .NET porting, mainframe
- Plugins and custom data connectors
- Q Apps — citizen-developer no-code AI apps
Key AWS services
- Amazon Q Developer
- Amazon Q Business
- Amazon Q in Connect
- Amazon Q in QuickSight
Learn more — curated resources
Hand-picked official docs, foundational papers, and the best community guides for going deeper on this topic.
Sessions on this topic
2 sessions from the Summit covered this topic. Each is a self-contained mini-lesson.
- AIM204Intermediate
Get to know Amazon Quick, your new agentic teammate
Most of us spend more time hunting for information than using it. Amazon Quick changes that. It reaches across all your company's data — documents, databases, emails, Slack threads, dashboards, Jira tickets — and lets you search it, ask questions, and take action, all from one place. Available across web, mobile, Slack, and Microsoft tools with multi-model intelligence, Quick delivers consumer-grade AI with enterprise-grade security and governance. No vendor lock-in, no siloed copilots. Just one AI teammate that works wherever you do.
- TNC201Intermediate
Explore the Agentic Capabilities of Amazon Quick Suite
Discover the latest features of Amazon Quick Suite, a generative AI-powered business intelligence platform transforming organizational data workflows. Explore the newest capabilities including Quick Sight for interactive visualizations, Quick Flows for workflow creation, Quick Automate for intelligent automation, and Quick Research for comprehensive analysis. Learn how custom chat agents, knowledge spaces, and workplace extensions integrate seamlessly to enhance productivity through natural language interactions across your organization.
Live updates related to this topic LIVE
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- github.blog high confidence Autonomous coding agents
Enterprise-managed settings now support strictKnownMarketplaces in VS Code and GitHub Copilot CLI - GitHub Changelog
GitHub announced that MAI-Code-1-Flash, Microsoft AI's in-house coding model optimized for fast, low-latency responses in agentic coding workflows, is now generally available for GitHub Copilot Business and Copilot Enterprise as of June 26, 2026.
- github.blog high confidence Autonomous coding agents
MAI-Code-1-Flash for Copilot Business and Copilot Enterprise - GitHub Changelog
GitHub announced that MAI-Code-1-Flash, Microsoft AI's in-house coding model optimized for fast, low-latency responses in agentic coding workflows, is now generally available for GitHub Copilot Business and Copilot Enterprise as of June 26, 2026.
- github.blog high confidence Autonomous coding agents
GitHub Copilot for Jira is now generally available - GitHub Changelog
GitHub announced that MAI-Code-1-Flash, Microsoft AI's in-house coding model optimized for fast, low-latency responses in agentic coding workflows, is now generally available for GitHub Copilot Business and Copilot Enterprise as of June 26, 2026.
- github.blog high confidence Autonomous coding agents
Copilot code review: Analysis depth and efficiency updates - GitHub Changelog
GitHub announced that MAI-Code-1-Flash, Microsoft AI's in-house coding model optimized for fast, low-latency responses in agentic coding workflows, is now generally available for GitHub Copilot Business and Copilot Enterprise as of June 26, 2026.
- github.com high confidence Autonomous coding agents
See what’s new with GitHub Copilot
Cursor released new Enterprise admin controls providing granular model access (allow/block lists at the provider and model level), soft spend limits with automated alerts at 50%, 80%, and 100% of the limit, and enhanced usage analytics that allow admins to filter consumption by s
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Non-obvious insights
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