# Autosana vs Devin

Autosana records 12,057 monthly visits with +138.3% month-over-month growth and Freemium, Contact for Pricing pricing. Devin records 2,549,346 monthly visits with +1% growth and Paid pricing.

| Metric | [Autosana](https://openaitools.app/tool/autosana) | [Devin](https://openaitools.app/tool/devin) |
| :--- | :--- | :--- |
| Website URL | https://autosana.ai | https://devin.ai |
| Categories | AI Agent, AI Testing, AI Developer Tools, No-Code&Low-Code | AI Code Assistant, AI Agent, AI Developer Tools |
| Pricing Model | Freemium, Contact for Pricing | Paid |
| Monthly Visits | 12,057 | 2,549,346 |
| MoM Growth Rate | +138.3% | +1% |
| Primary Market | India | United States |
| Direct Visits | 6,410 | 1,386,401 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | website |

## Autosana

Autosana replaces brittle selector-based test scripts with short natural-language flow files. You describe what a user should do and what should happen along the way, and AI agents carry out those steps against iOS and Android builds, web browsers, Chrome extensions, and App Clips. Because the flows describe intent rather than specific UI elements, they keep working when a redesign moves buttons or changes layout, removing much of the maintenance burden that makes traditional E2E suites expensive.

The platform is designed to fit into existing engineering workflows rather than sit beside them. Flows and suites live in your repository as code, a GitHub bot runs the flows touched by each pull request on that PR's build and posts videos and results back to the PR, and cached steps replay five to eight times faster to keep CI time down. Coding agents can create, run, and fix flows locally through the CLI or MCP before a PR is even opened, and setups that need backend state can use hooks, environments, and secrets.

Beyond simple pass/fail, Autosana records runs step by step with video, captures every network request made during a run, monitors CPU and memory to surface slow or memory-hungry screens, and reports bugs and confusing UX it encounters while testing. Results route to Slack, email, webhooks, Linear, and Jira. The vendor offers a free pay-as-you-go tier with 1,000 AI actions per month, a Startup plan at $999 per month, a Pro plan at $2,499 per month, and custom Enterprise pricing with SOC 2 documentation and a dedicated forward-deployed engineer.

**Pricing & Plans:** Free pay-as-you-go tier with up to 1,000 AI actions refilled monthly; Startup at $999/month with 15,000 AI actions; Pro at $2,499/month with 50,000 AI actions; Enterprise custom pricing. Paid plans include a 30-day money-back guarantee.

- **Natural-language flow authoring:** Write a user journey in a sentence instead of maintaining selectors or scripts; flows live in your repo as YAML and run across iOS, Android, web, Chrome extensions, and App Clips.
- **Self-healing tests:** When the UI is redesigned, flows adapt automatically as long as the underlying user journey is unchanged, so you do not rewrite tests after a visual refresh.
- **Pull-request CI integration:** A GitHub bot runs the flows a change touches on the PR's build, posts pass/fail results and run videos on the PR, and reviewers can see exactly what broke.
- **Coding-agent workflow via CLI and MCP:** Run flows locally through the CLI or MCP so AI coding agents can reproduce a failure, patch the code, and verify the fix before opening the pull request.
- **Deep debugging telemetry:** Step-by-step run recordings with video, network request logs, CPU and memory monitoring, plus automated bug and UX reports; results flow into Slack, Linear, and Jira.

**Strengths:** Flows are written in natural language and stored as code in your repository; Self-healing behaviour drastically reduces E2E maintenance vs. selector-based tools; Broad platform coverage across iOS, Android, web, Chrome extensions, and App Clips; Free tier with 1,000 AI actions per month and no credit card required to start

**Limitations:** Paid tiers are expensive for small teams ($999/month for Startup); Usage is metered in AI actions, so heavy test suites require careful cost planning; Powerful features such as parallel cloud sessions and physical devices are gated to upper tiers

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

## 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)

## Frequently Asked Questions

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

Autosana has 12,057 monthly visits, while Devin has 2,549,346. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Autosana has a month-over-month growth rate of +138.3%; Devin has +1%.

### How does pricing compare?

Autosana: Freemium, Contact for Pricing. Free pay-as-you-go tier with up to 1,000 AI actions refilled monthly; Startup at $999/month with 15,000 AI actions; Pro at $2,499/month with 50,000 AI actions; Enterprise custom pricing. Paid plans include a 30-day money-back guarantee. 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.

## 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/autosana-vs-devin

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