Introduction to Devika
Devika, developed by Stition.ai, is a cloud-based tool that supports Windows and Linux operating systems. It is compatible with advanced LLMs such as GPT-5, Claude 4.5, and Gemini 3.0, offering users a broad range of capabilities. Devika features a substantial context window of 200k tokens, allowing for extensive data processing. It does not support local inference but excels in agentic editing, providing multi-file editing capabilities. While it lacks terminal access, it compensates with predictive edits to streamline workflows. Devika follows a Standard Privacy Policy and holds a SOC2 Type II certification for enterprise-level security, making it a reliable choice for privacy-conscious users. The tool is available for free and requires setup for migration, with configurations handled via the .devikarc file.
Pros
- ✓ Supports Windows and Linux
- ✓ Compatible with advanced LLMs
- ✓ Multi-file agentic editing
- ✓ Predictive edits feature
- ✓ Free tier available
Cons
- ✕ No terminal access
- ✕ No local inference
- ✕ Requires setup for migration
Introduction to SWE-agent
SWE-agent, developed by SWE, is engineered for cloud-based operations and is compatible with Ubuntu 24.04 and 24.10. It supports an array of LLMs including Claude 3.5 Sonnet, Claude 4, GPT-4o, GPT-5, and Gemini 1.0, ensuring flexibility and adaptability for various tasks. Like Devika, SWE-agent features a 200k token context window and supports multi-file agentic editing. However, it stands out with full terminal access, providing developers with comprehensive control over their environment. SWE-agent adheres to a Standard Privacy Policy and holds the SOC2 Type II certification, ensuring robust security measures. Although there is no free tier, pricing information is available upon contacting sales, and migration requires setup, with configurations managed through the .sweagentrc file.
Pros
- ✓ Full terminal access
- ✓ Compatible with multiple advanced LLMs
- ✓ Multi-file agentic editing
- ✓ SOC2 Type II certified
Cons
- ✕ No free tier
- ✕ Predictive edits not supported
- ✕ Requires setup for migration
Comparison Table
| Feature | Devika | SWE-agent |
|---|---|---|
| Architecture Type | cloud | cloud |
| Supported Os | Windows, Linux | Ubuntu 24.04, Ubuntu 24.10 |
| Developer | Stition.ai | SWE |
| Supported Llms | GPT-5, Claude 4.5, Gemini 3.0 | Claude 3.5 Sonnet, Claude 4, GPT-4o, GPT-5, Gemini 1.0 |
| Context Window | 200k tokens | 200k tokens |
| Agentic Editing | Yes, multi-file | Yes, multi-file |
| Terminal Access | No | Full |
| Privacy Mode | Standard Privacy Policy | Standard Privacy Policy |
| Certifications | SOC2 Type II (Enterprise) | SOC2 Type II (Enterprise) |
| About Price | Free | Contact Sales |
| Config File | .devikarc | .sweagentrc |
| Migration | Requires setup | Requires setup |
Conclusion
Both Devika and SWE-agent offer robust features tailored for cloud operations with advanced LLM support. While Devika is more accessible with a free tier and predictive edits, SWE-agent provides greater control with full terminal access. The choice between the two will largely depend on specific operational needs and budget considerations.