Amazon Q Developer vs Devin
Developer Agents
| A Amazon Q Developer  | D Devin | |
|---|---|---|
| Free tier | ✓ Free tier | Paid only |
| Pricing model | subscription | subscription |
| Price | $19 (Pro) | $500 (Teams) |
| Features | ||
| Languages | — | — |
| API | ✗ Not available | ✓ Available Docs ↗ |
| Homepage | Amazon Q Developer ↗ | Devin ↗ |
| Pricing Plans | Free$0/moCode completions, basic chat, 50 agent uses/mo Pro$19/user/moUnlimited agent, customization, security scans | Teams$500/mo250 ACUs (compute units), shared team use EnterpriseCustomUnlimited ACUs, on-prem, SLA |
| Platforms | ||
| Integrations | VS Code, AWS Cloud9, AWS Console, JetBrains (limited), CLI | Slack, GitHub, Jira, Linear, REST API |
- Unrivaled AWS service knowledge for infrastructure and SDK code
- Built-in security vulnerability scanning (SCA/SAST)
- Code transformation for Java upgrades and migration tasks
- Generous free tier for individual developers
- Outside AWS contexts, weaker than GitHub Copilot or Cursor
- No JetBrains support (VS Code and AWS Cloud9 only)
- Agent capabilities less mature than Devin or Cursor
- End-to-end autonomous task execution across full dev environments
- Browser, terminal, and code editor access within isolated sandboxes
- Handles multi-hour engineering tasks with minimal supervision
- Integrates with Slack for async task delegation
- Very expensive—$500/mo for 250 ACUs limits cost-effective scaling
- Success rate on complex real-world tasks still below human engineers
- Requires careful task scoping to avoid runaway compute
AI Commentary
Amazon Q Developer (formerly CodeWhisperer) is the obvious choice for AWS-native development teams—its training on AWS SDK, CloudFormation, and CDK patterns makes it uniquely effective for cloud infrastructure code. The free tier is remarkably generous, including security scans that would cost money on competing platforms. Outside AWS contexts, it falls behind GitHub Copilot on general-purpose code quality. The Code Transformation feature for Java upgrades addresses a genuine enterprise pain point.
Devin was the first commercially available fully autonomous AI software engineer, attracting massive attention upon its March 2024 release. In practice, its autonomous capabilities shine on well-defined, isolated tasks—setting up repositories, writing boilerplate code, and fixing narrowly scoped bugs—but struggle with ambiguous or deeply integrated systems. The $500/month minimum price point positions it firmly as an enterprise tool. It is best viewed as a force multiplier for senior engineers rather than a replacement.