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
Sourced via Parallel AI Monitor — continuous web watch on 21 topical streams. Updated .
- 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
- aitoolsdevpro.com high confidence Autonomous coding agents
Devin AI Guide 2026: Features, Pricing, How to Use & Complete ...
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
- anycap.ai high confidence Autonomous coding agents
Cursor AI 2026: Complete Guide to New Features, Tips ...
Reports indicate that GitHub Copilot paused new sign-ups for its Pro, Pro+, and Student tiers and removed Claude Opus models from the Pro tier in May 2026.
- indsurf.com high confidence Autonomous coding agents
Fetched web page
Windsurf released version 2.2.17, granting all IDE users access to Devin Review and Quick Review. The update also includes improvements to the Agent Command Center (list display for inbox, better session sorting/filtering) and a fix for Windows update issues.
- github.blog Autonomous coding agents
github.blog
GitHub Copilot for JetBrains IDEs introduced an inline agent mode in preview, alongside enhancements to Next Edit Suggestions and global auto-approve.
External links matched to this topic via topic relevance. The KB does not endorse third-party content; verify before citing.
Non-obvious insights
From the PlaybookOne sharp, contrarian insight per session — the things teams don't think of unprompted.