Compare Devin and Amazon Q Developer on pricing, features, platforms, and ratings — both AI Coding tools, Usage-based (Agentic Computing Units) vs Freemium…
At a Glance
Devin
Amazon Q Developer
Primary category
AI Coding
AI Coding
Rating
Not documented
Not documented
Pricing model
Usage-based (Agentic Computing Units)
Freemium
Starting price
$20/month
Free (Pro plan from $19/user/month)
Free plan
Yes
Yes
Free trial
Not documented
Not documented
Platforms
Web
Windows
Team collaboration
Not documented
Not documented
AI features
Yes
Yes
Public API
Yes
Yes
Pricing Compared
Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.
Capable of end-to-end task ownership, from planning through shipped pull request, rather than just code completion.
Adopted in production by large regulated enterprises including major banks and defense branches.
Usage-based ACU pricing lets individuals start for as little as $20/month without a large upfront commitment.
Enterprise self-hosted deployment option supports strict data-control and security requirements.
Cons
ACU-based pricing can be difficult to predict in advance compared to flat per-seat pricing.
Core plan caps concurrent sessions at 10, requiring the pricier Team plan for higher-volume usage.
As a rapidly scaling, richly funded startup, pricing and product terms may continue to change.
Autonomous agent output on complex, ambiguous tasks may still require human review before merging.
Amazon Q Developer
Pros
Free tier available with no cost to start
Deep integration with AWS services and the AWS Management Console
Agentic capabilities go beyond autocomplete into test generation and code review
Supports legacy application modernization (.NET and Java transformation)
Cons
Deepest value is realized within the AWS ecosystem, less compelling for non-AWS shops
Free tier usage limits (50 agentic interactions/month) are relatively low for heavy users
Per-user Pro pricing can add up for larger engineering teams
Use Cases
Devin
Backlog and bug-fix automation — Engineering teams assign Devin well-scoped bug fixes, dependency upgrades, and boilerplate feature work to clear backlog without engineer time.
Enterprise engineering augmentation — Large regulated enterprises deploy Devin within their own infrastructure to autonomously handle routine engineering tasks under strict security controls.
Test writing and documentation — Teams use Devin to autonomously write test suites and use DeepWiki to generate and maintain codebase documentation.
Amazon Q Developer
AI-assisted coding — Get real-time code suggestions and completions while writing software in supported IDEs.
Legacy application modernization — Use application transformation features to port .NET applications or upgrade Java versions at scale.
Automated code review and testing — Use agentic capabilities to generate unit tests and perform code reviews automatically.