AutoGen
Devin
| Feature | AutoGen | Devin |
|---|---|---|
| Pricing | Free only | From $500/mo |
| Free Plan | ✓ Yes | ✗ No |
| Rating | 4.2 / 5 | 4 / 5 |
| Best For | ai-researchers, developers, enterprise-ai-teams, data-scientists | engineering-teams, enterprise-developers, code-maintenance, automated-testing |
| Founded | 2023 | 2024 |
| Multi Agent | ✓ | ✗ |
| Code Execution | ✓ | ✗ |
| Human In Loop | ✓ | ✗ |
| Tool Integration | ✓ | ✗ |
| Customizable Agents | ✓ | ✗ |
| Conversation Patterns | ✓ | ✗ |
| Autonomous Coding | ✗ | ✓ |
| Planning | ✗ | ✓ |
| Debugging | ✗ | ✓ |
| Deployment | ✗ | ✓ |
| Code Review | ✗ | ✓ |
| Testing | ✗ | ✓ |
| Slack Integration | ✗ | ✓ |
✓ AutoGen Pros
- Microsoft backed
- Multi-agent conversations
- Flexible
- Active development
✗ AutoGen Cons
- Complex setup
- Documentation gaps
- Requires coding expertise
✓ Devin Pros
- Truly autonomous (handles multi-step engineering tasks)
- Own environment with terminal, browser, and code editor
- Can learn from documentation and unfamiliar codebases
- Handles real GitHub issues and PRs independently
✗ Devin Cons
- Very expensive at $500/month for teams
- Output quality varies significantly by task complexity
- Limited availability (still in early access)
The Verdict
AutoGen is built for ai researchers and developers, with a focus on multi-agent and code-execution. Devin targets engineering teams and enterprise developers and leads with autonomous-coding and planning.
AutoGen uses custom enterprise pricing, while Devin starts at $500/mo — a tangible advantage for teams with a fixed budget.
AutoGen has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Devin requires a paid subscription from day one.
Feature-wise, Devin offers broader built-in capabilities (7 features vs 6), while AutoGen takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.