# Devin vs Fabraix

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. Fabraix records 3,051 monthly visits with +15.4% growth and Freemium, Contact for Pricing pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [Fabraix](https://openaitools.app/tool/fabraix) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://fabraix.com |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Agent, AI Developer Tools, AI Testing, AI Checker |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 2,549,346 | 3,051 |
| MoM Growth Rate | +1% | +15.4% |
| Primary Market | United States | Canada |
| Direct Visits | 1,386,401 | 1,208 |
| Review Score | 4.3 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | website | Website |

## Devin

Devin sits at the agentic end of the AI coding spectrum. Instead of suggesting the next line, it takes a ticket-level goal - "add SAML SSO for enterprise customers" or "investigate this API latency spike" - explores the codebase across repositories, implements changes, runs tests, and explains the resulting pull request in plain language. It maintains a wiki-style map of the codebase so it can navigate unfamiliar services and keep documentation current as the code changes.

A defining feature is that Devin works on its own machine. It provisions Windows, Mac, and Linux virtual machines as needed, builds the project, exercises it in a browser, and can record itself clicking through the feature it just built. Long-running work continues in the cloud when your laptop is closed, and large tasks can be split across parallel agents that Devin coordinates and reports on.

For teams, Devin extends beyond one-off prompts. You can tag @Devin in Slack or Teams so it reads a thread and replies with a PR, set up automations that fix failing tests or patch vulnerable dependencies as they appear, and run security reviews. Pricing is seat-based and enterprise-oriented, with an Ultra tier for heavier autonomous usage, and Cognition has marketed large security-credit programs for enterprises.

**Pricing & Plans:** Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers.

- **End-to-end autonomous coding:** Devin plans, writes code, runs tests, and opens pull requests across complex, multi-repository codebases without waiting for line-by-line approval.
- **Its own virtual machines:** Devin provisions Windows, Mac, and Linux VMs, builds and runs the project, and tests in a real browser - even recording itself using the feature it built.
- **Slack, Teams, and alert integration:** Mention @Devin in a thread to delegate a fix, or connect CI, PagerDuty, and issue trackers so it reacts to failures and alerts automatically.
- **Parallel cloud agents:** Delegate a large task and Devin splits it across parallel cloud agents that keep working after you close your laptop, then reports back.
- **Codebase wiki and automations:** Devin maintains a living map of the architecture and supports recurring automations such as dependency upgrades, test fixes, and security scans.

**Strengths:** Handles ticket-level autonomous work rather than only suggesting code completions; Tests in its own browser and VMs, which catches issues that pure code generation misses; Deep workflow integration with Slack, Teams, CI, and alerting tools; Keeps working in parallel cloud agents even when your machine is off

**Limitations:** Premium, seat-based pricing puts it out of reach for casual individual use; Complex or poorly specified tasks still need human review before merging; Maximum value depends on having a well-structured repo and clean test setup

[Profile (Markdown)](https://openaitools.app/tool/devin.md)

## Fabraix

Fabraix is a Y Combinator-backed security company whose product, Nyx, is an autonomous red-teaming harness for AI agents. Where static benchmarks and one-off audits capture a point-in-time snapshot, Nyx runs adaptive, multi-turn campaigns that reason across interactions and probe a target both directly and indirectly. The company reports that its agent beats frontier models on offensive security — a 78% attack success rate on the AgentHarm benchmark versus 67% for GPT-5.6 Sol — and that every attack feeds a self-learning loop so the red team sharpens with each run.

The mechanics matter as much as the results. Nyx is pure blackbox, meaning it needs no integration, source code, model weights or network access, and it tests an AI system the way a real user would. It runs thousands of simulations concurrently across voice, text and image inputs, deploying test websites on the fly for browser agents and constructing custom files for document agents. Documented findings range from sandbox escapes and credential exfiltration to network-egress bypasses of an LLM-as-judge and a jailbroken real-estate agent pushed into illegal discriminatory steering.

Fabraix frames this as continuous verification rather than a one-off pentest. Pointed at customer-support bots, coding agents, clinical copilots, research agents, multi-agent systems and trading agents, it is designed to surface the failure modes that slip past multi-turn flows, including RL reward hacking and prompt injection laundered through inputs. Security is addressed directly: blackbox operation adds almost nothing to the attack surface, runs are isolated and ephemeral, data is never used for training and encryption covers transit and rest. The free researcher tier, one-off scans and continuous CI/CD plans make the offering scale with how you test.

**Pricing & Plans:** Fabraix is free for academic and independent AI researchers by application. Beyond that it offers a one-off scan tier priced per agent, continuous CI/CD coverage billed monthly by usage, and an enterprise tier with dedicated infrastructure, SSO, audit logging and custom SLAs.

- **Pure blackbox testing:** Point Nyx at any AI system with no integration or internal access — test agents exactly how real users interact with them.
- **Multi-turn adaptive attacks:** Nyx reasons across turns and adapts to your agent's logic, drawing on 10,000+ offensive strategies in long-context campaigns instead of canned prompts.
- **Multi-modal interaction surfaces:** Test across voice, text and images, with websites deployed on the fly for browser agents and custom files for document-processing agents.
- **Massively parallel coverage:** Run thousands of concurrent simulations; coverage scales with compute rather than headcount, with first exploits often found in under an hour.
- **Continuous CI/CD red-teaming:** Plug into CI/CD so every prompt, tool and model change is re-tested before it ships, with an AIVSS-scored report and reproduction steps per finding.

**Strengths:** Pure blackbox — no code, weights or integration required; 10,000+ adaptive multi-turn attack strategies; Massively parallel simulations find exploits fast; Explicit security posture: isolated runs, no training on your data, encryption

**Limitations:** Pricing for scans and continuous coverage is custom-quoted rather than published; Value depends on pointing it at a real, reachable agent implementation; Commercial use of Nyx is gated behind a demo and application flow; Advanced enterprise features like SSO and audit logging are reserved for the top tier

[Profile (Markdown)](https://openaitools.app/tool/fabraix.md)

## Frequently Asked Questions

### How do Devin and Fabraix compare in monthly traffic?

Devin has 2,549,346 monthly visits, while Fabraix has 3,051. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Fabraix has +15.4%.

### How does pricing compare?

Devin: Paid. Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers. Fabraix: Freemium, Contact for Pricing. Fabraix is free for academic and independent AI researchers by application. Beyond that it offers a one-off scan tier priced per agent, continuous CI/CD coverage billed monthly by usage, and an enterprise tier with dedicated infrastructure, SSO, audit logging and custom SLAs.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | An AI-native code editor providing advanced multi-file code generation and editing, though less fully autonomous end-to-end than Devin. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general autonomous agent platform executing multi-step goals and browsers, suitable for broader web and coding workflows. | [.md](https://openaitools.app/tool/manus.md) |
| 3 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agentic development platform running parallel AI coding agents across an IDE and CLI workspace. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 4 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | A cloud development platform featuring an AI agent that builds, runs, and deploys full-stack apps automatically. | [.md](https://openaitools.app/tool/replit.md) |
| 5 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | An agentic coding platform and IDE plugin that reads entire codebases to execute complex multi-file tasks. | [.md](https://openaitools.app/tool/qoder.md) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | An AWS spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies software engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI-powered IDE and coding agent that indexes entire repositories to plan, build, and test software. | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | An enterprise AI software development platform featuring a context engine and multi-agent software development lifecycle orchestration. | [.md](https://openaitools.app/tool/augment-code.md) |

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Source: https://openaitools.app/compare/devin-vs-fabraix

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