# codereview.ollama vs Devin

codereview.ollama records 0 monthly visits with — month-over-month growth and Free pricing. Devin records 2,549,346 monthly visits with +1% growth and Paid pricing.

| Metric | [codereview.ollama](https://openaitools.app/tool/codereview-ollama) | [Devin](https://openaitools.app/tool/devin) |
| :--- | :--- | :--- |
| Website URL | https://chromewebstore.google.com/detail/codereviewollama/edbfbcfdenimifjikfajbckbcnfhhapn | https://devin.ai |
| Categories | AI Code Review, AI Developer Tools, Large Language Models (LLMs), AI GitHub | AI Code Assistant, AI Agent, AI Developer Tools |
| Pricing Model | Free | Paid |
| Monthly Visits | 0 | 2,549,346 |
| MoM Growth Rate | — | +1% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 1,386,401 |
| Review Score | 4.3 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Browser Extension | website |

## codereview.ollama

codereview.ollama is a lightweight browser extension published on the Chrome Web Store that adds automated code review to your GitHub and GitLab workflows. Rather than sending your diffs to a hosted AI service, it talks to a large language model you host yourself through Ollama or LM Studio, which means the model runs locally or on infrastructure you control. That makes it attractive to teams with privacy, compliance or cost constraints that rule out cloud-based reviewers.

The extension is deliberately narrow in scope: its job is to review pull requests on GitHub and merge requests on GitLab and surface AI-generated feedback on the changes. Because it relies on the models you already run (for example a Llama, Mistral, Qwen or DeepSeek model served by Ollama), the quality and style of the review scale with the model you choose, and you can swap models without changing tools. It is distributed as a free Chrome extension, currently authored by the publisher limingchina.

Because it is a browser extension, setup is mostly about pointing it at your running Ollama or LM Studio endpoint and granting it access to the relevant code-hosting pages. The developer states that the extension does not collect or use your data, which aligns with the local-first design. Note that codereview.ollama is a third-party project and is not affiliated with or endorsed by the Ollama project or by GitHub or GitLab.

**Pricing & Plans:** Free. codereview.ollama is distributed as a free Chrome extension with no paid tier listed. You provide the compute by running your own model through Ollama or LM Studio, so any cost comes from your own hardware or hosting.

- **Pull request review on GitHub:** Generates AI feedback on GitHub pull requests so reviewers get a first pass of comments before human review.
- **Merge request review on GitLab:** Works with GitLab merge requests as well as GitHub PRs, covering the two most common code-hosting platforms for small teams.
- **Local LLMs via Ollama and LM Studio:** Connects to models you host yourself, keeping code and prompts on infrastructure you control instead of a cloud AI vendor.
- **Model-agnostic:** Any model you can serve through Ollama or LM Studio can be used, so you can pick a model that fits your hardware and review style.
- **No data collection:** The developer discloses that the extension does not collect or use your data, consistent with its local-first approach.

**Strengths:** Free to install and use, with no subscription or per-seat pricing; Keeps review runs on your own Ollama or LM Studio setup rather than the cloud; Works on both GitHub pull requests and GitLab merge requests; Model-agnostic, so you can match the model to your hardware and needs

**Limitations:** Requires you to run and maintain your own Ollama or LM Studio server; Limited adoption so far, with a small user base and few reviews; As a small third-party extension, its review depth depends entirely on the local model you point it at

[Profile (Markdown)](https://openaitools.app/tool/codereview-ollama.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 codereview.ollama and Devin compare in monthly traffic?

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

### How do their growth rates compare?

codereview.ollama has a month-over-month growth rate of —; Devin has +1%.

### How does pricing compare?

codereview.ollama: Free. Free. codereview.ollama is distributed as a free Chrome extension with no paid tier listed. You provide the compute by running your own model through Ollama or LM Studio, so any cost comes from your own hardware or hosting. 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 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 6 | [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) |
| 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 | [CodeRabbit](https://openaitools.app/tool/coderabbit) | 1,048,880 | +4.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI code review, PR triage, and security monitoring for fast-moving teams | [.md](https://openaitools.app/tool/coderabbit.md) |
| 10 | [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) |

---
Source: https://openaitools.app/compare/codereview-ollama-vs-devin

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)