# Devin vs Skaftor

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

| Metric | [Devin](https://openaitools.app/tool/devin) | [Skaftor](https://openaitools.app/tool/skaftor) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://skaftor.com |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Workflow, AI Agent, AI Developer Tools, AI Project Management |
| Pricing Model | Paid | Paid, 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 | 4.4 |
| 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)

## Skaftor

Skaftor targets the gap that opens up once AI agents write most of the code: requirements live in a document, decisions live in chat threads, and approvals live in someone's head. The platform takes a product requirements document and turns it into accept/reject requirements with acceptance criteria, a technical design tied to each requirement, and work orders each sized to roughly one pull request and mapped to the repository it changes.

Agents then build those work orders. You can run Claude Code, Codex, Gemini or DeepSeek on a managed cloud workstation with pricing shown before the run starts, or keep your own editor and wire in context over MCP (for example Cursor). Every run is metered against per-run and per-month budget caps.

Governance is the second half of the product. A gate reads each pull request against its acceptance criteria and names the evidence; CI can block, the clause check can block, and an AI review advises. Named roles approve each stage and approvals are written to an append-only audit trail, so an auditor can reconstruct how a change reached production. Skaftor integrates with GitHub, GitLab and Bitbucket as well as Jira, Linear, Notion, Confluence, Google Docs, SharePoint, AWS, Google Cloud and Azure.

**Pricing & Plans:** Skaftor is positioned as a paid enterprise platform (listed as Paid / contact for pricing). Agent runs are billed against your own AI keys with per-run and per-month budget caps, and the site states that runs are priced before they start. Exact plan tiers are not published on the public site — teams should contact Skaftor for a quote.

- **Requirements & design generation:** Drop in a PRD; Skaftor surfaces open questions, drafts requirements with acceptance criteria you include or exclude line by line, and generates a technical design section by section, each tied to the requirements it covers.
- **Work order orchestration:** Work is split into pull-request-sized work orders, each carrying its repository, branch, service and acceptance criteria, ordered by dependency and confirmed by a human before an agent starts.
- **Multi-agent build on cloud or local:** Run Claude Code, Codex, Gemini or DeepSeek on a fresh Skaftor Cloud workstation, or use your own editor with context wired in over MCP, with cost visible as the run proceeds.
- **Gates and evidence:** CI and a clause check read each pull request against its acceptance criteria and can block a merge, while an AI review advises with a score and findings. Deployment gates are proposed from your own code and set per stage.
- **Organizational memory & audit trail:** The why stays attached to the code — requirement, design decision, pull request and approver — while an append-only audit trail records named-role approvals, RBAC, SSO/SAML, SCIM and cost visibility.

**Strengths:** Covers the whole AI-native delivery loop from PRD to canary deploy rather than one step; Gate evidence is tied to acceptance criteria, so 'done' is defined rather than asserted; Works with popular agents (Claude Code, Codex, Gemini, DeepSeek) and mainstream repos (GitHub, GitLab, Bitbucket); Append-only audit trail, RBAC and SSO/SAML/SCIM make it credible for regulated environments

**Limitations:** Aimed at teams; there is no obvious lightweight free tier for individuals; Setup and governance configuration are heavier than a single-purpose coding assistant; Public pricing tiers are not published, so costs require a sales conversation

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

## Frequently Asked Questions

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

Devin has 2,549,346 monthly visits, while Skaftor 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%; Skaftor 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. Skaftor: Paid, Contact for Pricing. Skaftor is positioned as a paid enterprise platform (listed as Paid / contact for pricing). Agent runs are billed against your own AI keys with per-run and per-month budget caps, and the site states that runs are priced before they start. Exact plan tiers are not published on the public site — teams should contact Skaftor for a quote.

## 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 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 9 | [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) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |

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

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