# Devzery vs Qodex

Devzery records 2,378 monthly visits with -85.1% month-over-month growth and Contact for Pricing pricing. Qodex records 140,666 monthly visits with +10.1% growth and Contact for Pricing pricing.

| Metric | [Devzery](https://openaitools.app/tool/devzery) | [Qodex](https://openaitools.app/tool/qodex) |
| :--- | :--- | :--- |
| Website URL | https://www.devzery.com | https://qodex.ai |
| Categories | AI Testing, AI API, AI Agent, AI Developer Tools | AI API, AI Testing, No-Code&Low-Code, AI Code Generator |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 2,378 | 140,666 |
| MoM Growth Rate | -85.1% | +10.1% |
| Primary Market | United States | India |
| Direct Visits | 945 | 23,794 |
| Review Score | 4.2 | 4.7 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Devzery

Devzery is an AI-powered API regression testing platform for QA and engineering teams. Its core is a self-driving AI agent that runs end-to-end regression tests at the API level, verifying user-level functionality, validating integrations and tracking API changes in real time. The goal is to catch regressions earlier in the SDLC and shrink the time spent on manual test authoring.

The platform generates context-rich test suites from a PRD or project details, adapts tests automatically as APIs change, and produces AI-written bug reports with status, related test cases, expected versus actual results and error descriptions. It also generates Swagger documentation for APIs automatically, removing a common manual chore.

Devzery integrates with project management and CI/CD tools such as Jira, GitHub Actions and Jenkins so regression suites can be triggered on every merge or deployment. A middleware SDK with Node, Java, Python and Golang support logs API requests and responses for continuous regression coverage, and Devzery also publishes an open-source UI test case generator on GitHub.

**Pricing & Plans:** Devzery does not publish public list prices; pricing is available on request (the product site currently invites users to join a waitlist). Contact the Devzery team for plan details and a demo.

- **Self-driving API regression agent:** An AI agent runs end-to-end functional regression tests at the API level and tracks API changes in real time.
- **AI-generated test suites:** Devzery analyzes your PRD or project details to generate context-rich API test cases, including edge-case scenarios for broader coverage.
- **Automatic Swagger documentation:** AI analyses complex data structures and generates accurate, up-to-date Swagger schema definitions for your APIs.
- **CI/CD and project management integrations:** Plug into Jira, GitHub Actions and Jenkins to trigger regression suites automatically on merges and deployments.
- **Middleware SDK logging:** Middleware SDKs for Node, Java, Python and Golang log API requests and responses for continuous regression coverage.

**Strengths:** Automates API-level regression testing end to end; Generates test cases from PRDs and product context; Native integrations with Jira, GitHub Actions and Jenkins; Open-source UI test case generator available

**Limitations:** No public pricing; you must contact the team; Product is early-stage with a waitlist for new users; Some marketing claims (2x/3x multipliers) are vendor-reported

[Profile (Markdown)](https://openaitools.app/tool/devzery.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 Devzery and Qodex compare in monthly traffic?

Devzery has 2,378 monthly visits, while Qodex has 140,666. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devzery has a month-over-month growth rate of -85.1%; Qodex has +10.1%.

### How does pricing compare?

Devzery: Contact for Pricing. Devzery does not publish public list prices; pricing is available on request (the product site currently invites users to join a waitlist). Contact the Devzery team for plan details and a demo. 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 | [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) |
| 2 | [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) |
| 3 | [Qase](https://openaitools.app/tool/qase) | 319,213 | -25.5% | Freemium, Free Trial, Contact for Pricing, Free | Ship with confidence: one system of record for manual, automated, and CI tests | [.md](https://openaitools.app/tool/qase.md) |
| 4 | [Applitools Eyes](https://openaitools.app/tool/applitools-eyes) | 159,934 | -15.7% | Freemium, Free Trial, Paid, Contact for Pricing | AI-powered visual and functional testing that catches UI bugs on every page | [.md](https://openaitools.app/tool/applitools-eyes.md) |
| 5 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | Provides comprehensive end-to-end enterprise test automation and management, but lacks Qodex's lightweight PR-focused execution agent. | [.md](https://openaitools.app/tool/katalon-studio.md) |
| 6 | [TestSprite](https://openaitools.app/tool/testsprite) | 114,205 | +15.8% | Freemium | Agentic end-to-end testing that writes, runs and heals your test suite | [.md](https://openaitools.app/tool/testsprite.md) |
| 7 | [testRigor](https://openaitools.app/tool/testrigor-com) | 105,865 | -2.7% | Free Trial, Contact for Pricing, Free | Write end-to-end test automation in plain English, no code required | [.md](https://openaitools.app/tool/testrigor-com.md) |
| 8 | [Momentic](https://openaitools.app/tool/momentic) | 68,819 | -15.2% | Freemium, Usage-based, Enterprise | Uses intelligent agents to run visual end-to-end tests, focusing on browser workflows rather than pull request code reviews. | [.md](https://openaitools.app/tool/momentic.md) |
| 9 | [Autify](https://openaitools.app/tool/autify-com) | 60,130 | +6% | Contact for Pricing | AI testing platform for the entire software testing lifecycle | [.md](https://openaitools.app/tool/autify-com.md) |
| 10 | [Kodus](https://openaitools.app/tool/kodus-io) | 32,150 | -14.2% | Freemium | An open-source pull request code review agent that enforces guidelines, offering self-hosted flexibility without managed UI testing. | [.md](https://openaitools.app/tool/kodus-io.md) |

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

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