Devin vs SWE-Agent
Spec-Driven
Devin is an AI software engineer agent that autonomously builds, tests, and deploys software, designed for engineering teams to accelerate development workflows.
Spec-Driven
An AI agent that autonomously solves software engineering tasks by interacting with code repositories and development tools.
Summary
- Devin scores 4.3/5 and SWE-Agent scores 4.0/5 on the Dark Factory Score, a difference of 0.3.
- The widest gap is Code Quality: Devin 4.0, SWE-Agent 3.5.
- Devin scores higher on code quality, integration and project complexity.
- They score the same on autonomy and self-correction.
- Devin is listed as enterprise and SWE-Agent as open source.
- Both are listed under Full-Stack Agents and Code Generation.
Dimension by dimension
| Dimension | Weight | Devin | SWE-Agent |
|---|---|---|---|
| Autonomy | 28% | 4.5 | 4.5 |
| Code Quality | 20% | 4.0 | 3.5 |
| Integration | 17% | 4.5 | 4.0 |
| Self-Correction | 15% | 4.0 | 4.0 |
| Project Complexity | 20% | 4.2 | 3.8 |
| Dark Factory Score | 4.3 | 4.0 |
Why Devin scores 4.3
Devin represents one of the most advanced AI software engineering agents available, designed as a full autonomous developer that can handle complete software development workflows. The tool excels in autonomy with its ability to independently plan, build, test, and deploy software without constant human intervention. Its positioning as 'parallel cloud agents for serious engineering teams' suggests sophisticated multi-step task execution capabilities. The integration capabilities appear strong given its focus on full-stack development, testing, and deployment workflows, likely supporting modern DevOps practices including Git workflows and CI/CD pipelines. Code quality and self-correction capabilities are positioned as production-ready, though the exact mechanisms for ensuring code standards and iterative improvement aren't fully detailed in the available information. Devin shows strong performance across project complexity tiers, excelling at scripts and features while maintaining solid capabilities for modules and applications. However, for distributed systems and multi-repo scenarios (Tier 5), while capable, it may require more human oversight and coordination. The tool's cloud-based parallel agent architecture suggests it can scale to handle complex projects, but true system-level distributed architecture likely still benefits from human architectural guidance and coordination across multiple services and repositories.
Scored by Claude AI — last evaluated February 27, 2026
Why SWE-Agent scores 4.0
SWE-Agent demonstrates exceptional autonomy by being designed specifically to interact with code repositories and development tools independently, executing multi-step software engineering tasks without constant human intervention. Its ability to navigate codebases, understand context, and make informed decisions about code changes positions it highly for autonomous operation. The tool shows strong integration capabilities with its focus on working directly with repositories and development environments, though the specific CI/CD and deployment features would need verification. Self-correction appears robust given its agent-based architecture that can analyze results and iterate on solutions.
Scored by Claude AI — last evaluated February 27, 2026
More comparisons
Generated from Dark Factory Score data. How the score works. Comparing three or more tools at once is part of Pro.