# Devin vs Repowise

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. Repowise records 29,455 monthly visits with +26.3% growth and Freemium pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [Repowise](https://openaitools.app/tool/repowise) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://www.repowise.dev |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI Developer Tools, AI Agent, AI Code Review, AI Knowledge Base |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 2,549,346 | 29,455 |
| MoM Growth Rate | +1% | +26.3% |
| Primary Market | United States | India |
| Direct Visits | 1,386,401 | 13,919 |
| Review Score | 4.3 | 4.6 |
| 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)

## Repowise

Repowise starts from a simple observation: AI coding agents read the files in front of them and edit one of them, but they never see the callers, the git history, the owners or the tests that surround that file. Repowise closes that gap by indexing a repository once and refreshing it on every commit, so agents ask questions against real repository evidence instead of treating an entire codebase as a raw prompt. Ten MCP tools expose callers, owners, tests and decisions directly inside Claude Code, Cursor, Codex, VS Code and any other MCP-capable client.

The platform goes beyond agent context. It generates documentation that rebuilds itself on each commit, reconstructs architecture and dependency views, scores every file from 1 to 10 using deterministic code-health markers, and surfaces dead code, hotspots, hidden coupling, bus-factor risks and agent provenance — which commits were written by an AI. Security features include secret detection, vulnerability triage with reachability analysis and SBOM/VEX support, all rollable up across a portfolio of repositories.

The pull request bot is the daily-use surface: one comment per PR describing what the change reaches, coverage on changed lines and a review that learns from replies your team leaves. Hosted plans also re-index on every push, let Claude.ai and ChatGPT reach the index over MCP, and can be deployed self-hosted, in your own cloud or fully air-gapped. Repowise reads your code; it never runs it. An open-source CLI and self-hostable engine sit at the core.

**Pricing & Plans:** Free tier for public repositories with free PR risk and coverage checks and 10 AI answers per month. Pro is $15/month for private repositories, re-indexing on every push and AI review from credits (about 5 cents per reviewed PR, capped at 60 cents). Teams is $20 per seat per month with a 3-seat minimum, adding shared repositories, portfolio health and a single org-wide PR bot. Enterprise is self-hosted or on-prem with unlimited repos, air-gapped deployment and a named contact; pricing on request.

- **Continuously updated repository index:** Structure, call edges, git churn, co-change patterns, ownership, test reachability and recorded decisions are mapped once and refreshed on every commit, giving agents and reviewers a single shared source of truth.
- **Ten MCP tools for coding agents:** Claude Code, Cursor, Codex, VS Code and any MCP client can ask for the callers, owners and tests of a file before editing it, which the vendor benchmarks at roughly a third fewer agent output tokens on large repos.
- **Code health scoring and refactoring plans:** Every file receives a 1-to-10 score from deterministic markers validated against real bug fixes, with ranked refactoring plans, dead-code findings and cross-file performance issues such as N+1 queries.
- **Per-pull-request review bot:** One comment per PR names the callers a change reaches, lists changed lines that no test covers, stays silent when the PR is clean and adapts to replies your team writes.
- **Security and governance rollups:** Secret detection, CVE triage informed by what your code actually calls, agent provenance on commits, and portfolio-level health, hotspot and security summaries, deployable self-hosted or air-gapped.

**Strengths:** Open-source core with a free tier for public repositories and no account needed to browse indexed repos; Context is grounded in indexed repository evidence rather than a raw prompt, with published benchmark conditions; Unusually broad surface for one tool: agent context, PR review, code health, security and portfolio governance; Self-hosted, on-prem and air-gapped deployment for teams that cannot send source code to a vendor

**Limitations:** Tightly coupled to the MCP ecosystem, so value depends on your agents and editors supporting it; The richest governance features (portfolio health, change records, unlimited repos) sit behind Teams and Enterprise tiers; Benchmark claims are self-reported by the vendor, and the pricing model mixes seats with per-PR credits that are harder to forecast

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

## Frequently Asked Questions

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

Devin has 2,549,346 monthly visits, while Repowise has 29,455. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Repowise has +26.3%.

### 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. Repowise: Freemium. Free tier for public repositories with free PR risk and coverage checks and 10 AI answers per month. Pro is $15/month for private repositories, re-indexing on every push and AI review from credits (about 5 cents per reviewed PR, capped at 60 cents). Teams is $20 per seat per month with a 3-seat minimum, adding shared repositories, portfolio health and a single org-wide PR bot. Enterprise is self-hosted or on-prem with unlimited repos, air-gapped deployment and a named contact; pricing on request.

## 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 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 7 | [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) |
| 8 | [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) |
| 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-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-repowise

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