# Devin vs Lancey

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. Lancey records 0 monthly visits with -100% growth and Contact for Pricing pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [Lancey](https://openaitools.app/tool/lancey) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://www.lancey.ai |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Product Manager, AI For Data Analytics, AI Research Tool, AI Productivity Tools |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 2,549,346 | 0 |
| MoM Growth Rate | +1% | -100% |
| Primary Market | United States | Global |
| Direct Visits | 1,386,401 | 0 |
| 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)

## Lancey

Lancey is an AI coding agent built around a different question than most developer tools. Rather than only helping you write code faster, it focuses on deciding what to write — listening to what customers actually ask for and linking those signals directly to your codebase. The stated goal is to be the first "multiplayer" coding agent that turns customer context into shipped fixes.

The workflow centers on ingestion. Lancey connects to your customer feedback channels — it names Slack, Intercom, Zendesk, Gong and Linear — and aggregates product feedback, bugs and feature requests into one place. From there it understands your code, turns each input into a prioritized, actionable task, and in Autopilot mode reads every new issue and begins working on it automatically. The output is production-ready pull requests delivered in the background, which early users report cutting triage time by around 40%.

Collaboration and security are built in: Lancey is multiplayer by default with org-wide memory, so a whole team stays aligned on the same shared context, and code plus customer data are protected through strict access controls and an isolated execution environment. Lancey does not publish self-serve pricing publicly; the site routes visitors to get started and speak with the team. The company notes it is working on something new and points followers to useclearline.com, so the product direction is evolving.

**Pricing & Plans:** Lancey does not publish public self-serve pricing. Its site directs visitors to get started and consult the team, so pricing is effectively contact-for-pricing and quoted per organization.

- **Customer signal ingestion:** Pulls product feedback, bugs and feature requests from Slack, Intercom, Zendesk and more into one stream, so triage no longer means digging through separate tickets.
- **Autopilot task creation:** Reads every new issue, determines what is needed and starts working on it automatically, converting feedback into prioritized tasks.
- **Ready-to-merge PRs:** Delivers production-ready, ready-to-merge pull requests in the background, so customer-requested fixes can ship in hours rather than days.
- **Multiplayer by default:** Built as a multiplayer agent with org-wide memory, keeping engineering managers and engineers working from the same shared context.
- **Secure by design:** Strict access controls and an isolated execution environment keep code and customer data protected.

**Strengths:** Turns scattered customer feedback into prioritized engineering tasks automatically; Delivers ready-to-merge PRs in the background, shortening time-to-fix; Multiplayer design with org-wide memory keeps whole teams aligned; Connects the tools teams already use, like Slack, Intercom, Zendesk and Linear

**Limitations:** No public self-serve pricing page — you must contact the team; The landing page signals an ongoing shift, so the roadmap can change; Value depends on connecting feedback sources and repo access, which takes some setup; Generated PRs still need human review before merging

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

## Frequently Asked Questions

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

Devin has 2,549,346 monthly visits, while Lancey has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Lancey has -100%.

### 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. Lancey: Contact for Pricing. Lancey does not publish public self-serve pricing. Its site directs visitors to get started and consult the team, so pricing is effectively contact-for-pricing and quoted per organization.

## 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 | [Canny Autopilot](https://openaitools.app/tool/canny-autopilot) | 419,132 | -10.5% | Freemium, Paid, Contact for Pricing | AI feedback capture that ties customer requests to revenue | [.md](https://openaitools.app/tool/canny-autopilot.md) |

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

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