# Devin vs Skyelight

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

| Metric | [Devin](https://openaitools.app/tool/devin) | [Skyelight](https://openaitools.app/tool/skeylight) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://www.skyelight.ai |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Developer Tools, AI Product Manager, AI Productivity Tools |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 2,549,346 | 0 |
| MoM Growth Rate | +1% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 1,386,401 | 0 |
| Review Score | 4.3 | 4.5 |
| Saved Count | 0 | 1 |
| 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)

## Skyelight

Skyelight replaces the familiar mess of screenshots, email chains and Slack messages with feedback that is anchored to the thing being discussed. Reviewers — designers, clients, product managers, freelancers, stakeholders who join as free reviewers — click an element on the real page, from localhost prototype through to production, and drop a comment on it. Each thread carries context such as the component, the source file and line, the branch and the commit, so nobody has to guess what "this button is cut off on iPhone" refers to.

A distinguishing feature is automatic classification: as a comment is typed, Skyelight tags it as a bug, feedback, idea, design inspiration, page copy or another custom type, and you can filter and bulk-manage threads by category. Teams can also publish Claude artifacts and design surfaces into Skyelight so external stakeholders or clients can comment on a hosted link, and everything returns to the same workspace.

What makes it unusual is agent access. An MCP server (and a REST API) is available on every plan, so Claude, Claude Code, Cursor, Codex, Grok, Windsurf, Lovable and Bolt can list open threads, fix them in the codebase and reply on each thread with a link to the commit. The vendor positions this as taking feedback loops beyond Slack, Teams, email and Google Docs while keeping the human review workflow intact for people who like working collaboratively. Skyelight ships a free tier with MCP and REST API included, plus paid Pro and Team plans for heavier use.

**Pricing & Plans:** Freemium. A free plan is available with MCP server and REST API included on every plan; paid tiers are shown on the site (Pro at $29/month and Team at $59/month at the time of review). Annual pricing and enterprise arrangements require contacting the vendor.

- **Element-pinned annotations:** Comment on any element of any page — prototype, staging, localhost or production — so every thread is attached to the exact element it refers to.
- **MCP server and REST API on every plan:** Claude, Claude Code, Cursor, OpenAI Codex, Grok, Windsurf, Lovable and Bolt can list threads, apply fixes and reply with the commit that closed them.
- **Automatic feedback classification:** Comments are classified as they are typed — bug, feedback, idea, design inspiration or page copy — and can be sorted or bulk-managed by type.
- **Client and stakeholder review links:** Publish Claude artifacts or design surfaces to a hosted link; external reviewers join free and their comments land back in your workspace.
- **Rich context on every thread:** Threads carry the pinned component, file path and line number, branch and commit, so developers and agents work in the right place.

**Strengths:** Feedback is anchored to the actual element, so there is no ambiguity about what is being discussed; MCP server and REST API included on every plan, including free; Automatic classification and filtering keeps bug, copy and idea threads separate; Clients and stakeholders can join as free reviewers, keeping costs predictable

**Limitations:** Another tool to introduce into an existing Slack/Teams workflow; Value depends on your team or agent actually reading the threads; Agent integrations need some setup knowledge (MCP configuration, repo access)

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

## Frequently Asked Questions

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

Devin has 2,549,346 monthly visits, while Skyelight 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%; Skyelight has 0%.

### 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. Skyelight: Freemium, Contact for Pricing. Freemium. A free plan is available with MCP server and REST API included on every plan; paid tiers are shown on the site (Pro at $29/month and Team at $59/month at the time of review). Annual pricing and enterprise arrangements require contacting the vendor.

## 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 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.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-skeylight

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