Autonomous coding agent grounded in your whole codebase — multi-file edits with deep context.
CodeTool useMemoryRAG
Demo · hover to playAmazon Q vs Dustwhich AI code agent should you pick in 2026?
AWS's enterprise AI agent — coding assistant, business chat, and customizable Q apps grounded in your AWS data.
CodeTool useRAGMemory
Amazon Q vs Dust — specs
| Spec | Amazon Q | Dust |
|---|---|---|
| Agent Rank | 80 / 100 (A) | 77 / 100 (A) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $19 | Subscription · from $29 |
| Open source | No | No |
| Capabilities | Code, Tool use, RAG, Memory | Tool use, Memory, RAG, Multi-agent |
| Integrations | 4 apps | 5 apps |
| Verified | Verified | — |
| Released | Apr 2025 | Mar 2025 |
Agent Rank breakdown
Amazon Q
Agent Rank
80/ 100
- Autonomy
- 8
- Capabilities
- 8
- Integrations
- 6
- Pricing
- 8
- Polish
- 8
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Dust
Agent Rank
77/ 100
- Autonomy
- 8
- Capabilities
- 8
- Integrations
- 10
- Pricing
- 7
- Polish
- 7
- Verifiability
- 6
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
Amazon Q
Pros
- +Best Java + .NET migration features in any coding agent (Q Developer Transformation)
- +Native AWS data grounding — answers questions about your specific cloud environment
- +Per-seat pricing is competitive with GitHub Copilot Business
Cons
- −Weaker outside AWS environments
- −Q Business is a different product from Q Developer — confusion is common
- −Less polished IDE experience than Cursor or GitHub Copilot
Dust
Pros
- +"Multiplayer AI" — shared, governed workspaces designed for company-wide use
- +$40M Series B (Sequoia, Snowflake, Datadog) signals strong enterprise validation
- +Deepest connector library among agent platforms (Slack/Notion/GitHub/Salesforce/GDrive)
Cons
- −French roots — strongest support in EU/UK time zones
- −Higher per-seat pricing than Glean for read-only retrieval use cases
- −Custom agent authoring requires technical user (less low-code than Gumloop)
Pricing
Amazon Q
Free tier
Free
Light use
- +Limited Q Developer chat
- +AWS console access
Recommended
Q Developer Pro
$19/seat/mo
Developers
- +Inline completions
- +Code transformation
- +Customizations
Q Business
$20/seat/mo
Knowledge workers
- +Custom Q apps
- +AWS data grounding
- +Plugin support
Dust
Free
Free
Individuals
- +1 workspace
- +3 agents
- +GPT-4o + Claude 3.5
Recommended
Pro
$29/seat/mo
Teams
- +Unlimited agents
- +All integrations
- +Custom data sources
Enterprise
Custom
Large orgs
- +SSO + audit
- +Custom retention
- +Dedicated tenants
Which one should you pick?
Amazon Q
Pick Amazon Q if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Amazon Q →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Amazon Q or Dust in 2026?+
Pick Amazon Q if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Dust if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Amazon Q for primary work and Dust for the workflows where its specific strengths matter.
What's the price difference between Amazon Q and Dust?+
Amazon Q starts at Subscription · from $19; Dust starts at Subscription · from $29. Amazon Q is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Amazon Q or Dust?+
Both Amazon Q and Dust are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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Code intelligence agent for enterprise — answers questions about your code, navigates large monorepos.
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See more alternatives: alternatives to Amazon Q · alternatives to Dust
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