# Devin vs Qodex

Devin records 2,549,346 monthly visits with +1% month-over-month growth and Paid pricing. Qodex records 140,666 monthly visits with +10.1% growth and Contact for Pricing pricing.

| Metric | [Devin](https://openaitools.app/tool/devin) | [Qodex](https://openaitools.app/tool/qodex) |
| :--- | :--- | :--- |
| Website URL | https://devin.ai | https://qodex.ai |
| Categories | AI Code Assistant, AI Agent, AI Developer Tools | AI API, AI Testing, No-Code&Low-Code, AI Code Generator |
| Pricing Model | Paid | Contact for Pricing |
| Monthly Visits | 2,549,346 | 140,666 |
| MoM Growth Rate | +1% | +10.1% |
| Primary Market | United States | India |
| Direct Visits | 1,386,401 | 23,794 |
| Review Score | 4.3 | 4.7 |
| 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)

## Qodex

Qodex targets one of the messiest problems in modern engineering: AI assistants multiply pull requests, but review, QA and the regression suite did not multiply with them. The platform's answer is an agent that treats every change as something to be executed, not just read. When a pull request opens, Qodex inspects the diff and its surrounding repository context, runs the relevant API, UI and security checks against the preview environment, and returns a merge recommendation. Findings arrive as concrete evidence — the request that was sent, the response that came back, a screenshot, and the scenario that failed — rather than a diff-only opinion about a possible issue.

The product covers AI code review, API testing generated from your API specification, UI testing that drives your real app with Playwright-style scenarios you own and can export, and continuous security testing for OWASP API Top-10 classes including broken object-level authorization and IDOR. Integrations span GitHub, Slack, the CLI, webhooks and scheduled or deploy-triggered runs. A notable design choice is that security semantics are deliberately inverted: a pass means an attack was blocked, so the agent cannot turn a failing test green by weakening an assertion.

Qodex also emphasises economics and durability. The model writes a scenario once, and replays are executed as generated code with no further model call, so the suite can grow without the bill growing at the same rate. Production incidents can be turned into regression scenarios, closing the loop so the next pull request is tested against what reality already taught. Failure output is classified into three buckets — a real bug, a stale test with a suggested fix diff, or an environment issue — which is what separates a gate teams trust from a bot they mute. The company reports a 4.9/5 rating from verified G2 reviews and publishes case studies, including Mavim shipping SSO-gated API changes in two days instead of two weeks.

**Pricing & Plans:** Contact for pricing — the site offers a pricing page plus a book-a-demo and free trial route, and an 'Autopilot' plan for full QA, security and PR review automation. Exact tiers and per-run costs are quoted directly.

- **AI code review backed by real test runs:** Every pull request is reviewed against actual API, UI and security executions, so findings come with failing requests, responses and screenshots instead of speculation.
- **Spec-driven API testing:** Runnable API tests are generated from your API specification, covering functional behaviour, auth and rate limiting rather than mock assumptions.
- **Continuous security testing:** Ongoing OWASP API Top-10 coverage including broken object-level authorization (BOLA) and IDOR, with inverted pass semantics that block false greens.
- **Scenarios you own and export:** Tests are standard Playwright and HTTP that your team can read, export and maintain, with no model call on replay.
- **Incident-to-test autopilot:** Production bugs are converted into regression scenarios that run on subsequent pull requests, plus GitHub, Slack, CLI and webhook integrations.

**Strengths:** Findings are backed by executed evidence, not diff-only opinion; Security passes mean attacks were blocked, which resists gaming; Replays run as generated code, keeping cost predictable as the suite grows; Integrates with GitHub, Slack, CLI and webhooks for CI/CD workflows

**Limitations:** Pricing is quote-based, so budgeting requires a sales conversation; Full value depends on providing spec and preview environments; Execution-backed review needs a reachable running app, which some legacy setups lack

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

## Frequently Asked Questions

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

Devin has 2,549,346 monthly visits, while Qodex has 140,666. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Qodex has +10.1%.

### 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. Qodex: Contact for Pricing. Contact for pricing — the site offers a pricing page plus a book-a-demo and free trial route, and an 'Autopilot' plan for full QA, security and PR review automation. Exact tiers and per-run costs are quoted directly.

## 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 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | Offers robust plain-language test authoring and automated execution, though less tightly integrated directly into pull request code review workflows. | [.md](https://openaitools.app/tool/kaneai.md) |
| 10 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | Scans code, cloud, and runtime for security vulnerabilities with automated AI fixes, but provides less functional API/UI testing. | [.md](https://openaitools.app/tool/aikido-security.md) |

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

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