# Devin vs Drizz

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. Drizz records 40,750 monthly visits with -19.1% growth and Free Trial, Paid, Contact for Pricing pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [Drizz](https://openaitools.app/tool/drizz) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://www.drizz.dev |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Agent, AI Developer Tools, AI Testing |
| Pricing Model | Paid | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 2,549,346 | 40,750 |
| MoM Growth Rate | +1% | -19.1% |
| Primary Market | United States | United States |
| Direct Visits | 1,386,401 | 11,807 |
| Review Score | 4.3 | 4.2 |
| 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)

## Drizz

Drizz targets the core pain of mobile test automation: selector-based suites take weeks to author and break with every UI change, so flaky results turn automation into noise. Its approach is Intent-based testing — you describe what to test in everyday language, and a Vision AI agent interprets intent, writes the tests and runs them on real iPhones and Androids.

The platform records every step so results are verifiable rather than a black box, and failed runs come with screenshots, logs and screen state for fast triage. When a UI changes, steps adapt and repair themselves, which removes most selector maintenance. Drizz offers a desktop app for fast local authoring with full control over runs, plus Drizz Cloud for enterprise-grade execution and reliability at scale, alongside CI/CD integration so tests run on real devices directly in your pipeline.

It is positioned for fast-moving mobile teams across e-commerce, fintech, entertainment, navigation and health, with security work aimed at regulated industries: ISO27001-certified and SOC2 Type II audited infrastructure, TLS encryption in transit, session recording and audit logs. The company has raised $2.7M in seed funding and has been featured in Forbes, and it reports figures such as 200 tests authored per month versus roughly 15 with Appium and flakiness down to 5%.

**Pricing & Plans:** Drizz offers a free download for Mac plus a demo, with enterprise plans handled through a contact sales conversation. Check the official pricing page for current tiers.

- **Plain-English test authoring:** Describe the flow the way you use the app — no selectors or scripting required.
- **Vision AI, zero selectors:** Tests understand the UI the way a person does, so dynamic interfaces and critical flows stay covered.
- **Self-healing automation:** Steps adapt and repair themselves when the UI changes, cutting maintenance to near zero.
- **Real-device execution:** Runs on real iPhones and Androids with iOS and Android covered from a single test written once.
- **Precision debugging and CI/CD:** Every failure arrives with screenshots, logs and screen state, and tests run inside your pipeline.

**Strengths:** Removes selector maintenance that makes mobile suites brittle; Authoring speed far higher than scripted automation tools; Verifiable runs with screenshots, logs and step history; Runs on real devices with CI/CD integration and compliance certifications

**Limitations:** It is a newer entrant compared with long-established automation frameworks; Full enterprise execution runs through the cloud offering; Best value for teams with recurring mobile regression needs, not one-off scripts

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

## Frequently Asked Questions

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

Devin has 2,549,346 monthly visits, while Drizz has 40,750. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Drizz has -19.1%.

### 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. Drizz: Free Trial, Paid, Contact for Pricing. Drizz offers a free download for Mac plus a demo, with enterprise plans handled through a contact sales conversation. Check the official pricing page for current tiers.

## 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 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 10 | [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) |

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

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