Devin vs n8n
Spec-Driven
Devin is an AI software engineer agent that autonomously builds, tests, and deploys software, designed for engineering teams to accelerate development workflows.
Agent-Assisted
An AI-powered workflow automation platform that enables users to build, deploy, and manage complex automation workflows without extensive coding.
Summary
- Devin scores 4.3/5 and n8n scores 3.9/5 on the Dark Factory Score, a difference of 0.4.
- The widest gap is Self-Correction: Devin 4.0, n8n 3.0.
- Devin scores higher on autonomy, code quality, self-correction and project complexity.
- n8n scores higher on integration.
- Devin is listed as enterprise and n8n as freemium.
- Both are listed under Full-Stack Agents and DevOps & CI/CD.
Dimension by dimension
| Dimension | Weight | Devin | n8n |
|---|---|---|---|
| Autonomy | 28% | 4.5 | 4.2 |
| Code Quality | 20% | 4.0 | 3.5 |
| Integration | 17% | 4.5 | 4.8 |
| Self-Correction | 15% | 4.0 | 3.0 |
| Project Complexity | 20% | 4.2 | 4.0 |
| Dark Factory Score | 4.3 | 3.9 |
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 n8n scores 3.9
n8n excels as a workflow automation platform with strong autonomous capabilities for multi-step task execution through its visual workflow builder. It can orchestrate complex sequences of operations across multiple services and APIs without requiring extensive manual intervention. The integration capabilities are exceptional, with hundreds of pre-built connectors for popular services, APIs, and development tools including Git, CI/CD systems, and deployment platforms. This makes it particularly powerful for DevOps automation and connecting disparate systems. The platform performs well across different project scales, with particularly strong performance on script-level automation and feature-level integrations. While it can handle module and application-level orchestration effectively, it becomes less optimal for complex distributed systems where custom logic and fine-grained control are critical. Code quality capabilities are moderate since n8n focuses more on workflow orchestration than code generation, though it can integrate with code quality tools. Self-correction is present through error handling and retry mechanisms in workflows, but it's not as sophisticated as AI coding assistants that can analyze and fix code errors automatically.
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.