# DebuggAI vs QA.tech

DebuggAI records 522 monthly visits with -67.6% month-over-month growth and Freemium, Contact for Pricing pricing. QA.tech records 30,550 monthly visits with -4.4% growth and Paid, Contact for Pricing pricing.

| Metric | [DebuggAI](https://openaitools.app/tool/debugg-ai) | [QA.tech](https://openaitools.app/tool/qa-tech) |
| :--- | :--- | :--- |
| Website URL | https://debugg.ai | https://qa.tech |
| Categories | AI Testing, AI Developer Tools, AI GitHub, AI Agent | AI Testing, AI Agent, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Freemium, Contact for Pricing | Paid, Contact for Pricing |
| Monthly Visits | 522 | 30,550 |
| MoM Growth Rate | -67.6% | -4.4% |
| Primary Market | Global | Sweden |
| Direct Visits | 203 | 21,231 |
| Review Score | 4.2 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## DebuggAI

DebuggAI positions itself as AI-driven quality assurance for teams that ship frequently. Instead of writing and maintaining brittle test scripts, you connect your application or GitHub repository once and let the platform's agents browse the product the way a customer would, validating the journeys that generate revenue — signup, login, checkout and other core flows. Each run produces a clear pass or fail verdict backed by recordings, so engineers can see exactly what broke and where.

The product covers several ways of building and releasing software. Its PR Copilot reviews and tests changes inside your editor, AI Test Suites generate real tests from plain-English descriptions, Playwright testing runs real browser checks without the usual Playwright setup work, and user acceptance testing helps teams collect sign-off before a release. An MCP Server lets developers trigger tests from AI assistants such as Claude, Cursor or Codex using natural language.

DebuggAI markets itself as fully managed: it handles infrastructure, browser runs and result delivery, with encrypted and isolated access to a temporary copy of your app. Pricing tiers scale by private repositories, monthly test volume, analytics and support.

**Pricing & Plans:** Freemium with self-serve tiers. A Free plan covers public repositories with 100 tests per month and PR comments. Pro is listed at about $20/month for private repos and 1,000 tests/month, and Grow at about $40/month for 5,000 tests/month with team management. An Enterprise plan offers unlimited tests, SSO/SAML and custom integrations via sales contact. Annual billing advertises roughly 20% savings. No credit card is required to start.

- **AI agents that mimic real users:** DebuggAI explores every page, button and flow your customers use, so critical paths are tested rather than just the ones someone remembered to script.
- **Results inside your workflow:** Test outcomes appear in GitHub pull request comments and your existing tools, with clear pass/fail status, screenshots and video replays of anything that broke.
- **No code, no setup, no maintenance:** Connect your app once in a couple of minutes; the platform manages servers, browser runs and configuration so your team has nothing to maintain.
- **MCP server for AI assistants:** Ask Claude, Cursor or Codex in plain English to test your app; DebuggAI spins up a real browser, runs the tests and replays what happened.
- **Multiple testing modes:** Choose from AI PR reviews, plain-English test suites, Playwright browser testing, user acceptance testing and on-demand testing of work-in-progress builds.

**Strengths:** Zero-config, fully managed setup that requires no test code to write or maintain; Clear per-PR pass/fail results with screenshots and video replays; Free tier for public repositories and a low self-serve entry price; Works with AI coding assistants through an MCP server

**Limitations:** Monthly test allowances are capped, with higher volumes needing an upgrade; Advanced analytics, SSO and custom integrations are reserved for higher tiers; Value depends on keeping the app reachable for the AI's temporary, isolated access

[Profile (Markdown)](https://openaitools.app/tool/debugg-ai.md)

## QA.tech

QA.tech positions itself as the verification layer for teams shipping software with heavy AI assistance: coding got much faster, but review and QA did not keep pace. Instead of maintaining a fragile library of selectors and scripts, QA.tech runs autonomous agents that open your live web or native mobile app, work toward goals the way a person would, and report back on what actually works before code is merged.,The product is built around continuous, dynamic testing rather than one-off suites. Connect GitHub, GitLab or Bitbucket and a CI provider, and agents automatically pick up each pull request together with its preview environment, run end-to-end and exploratory passes, and comment on the PR with results. When something fails, you get screenshots, console and network activity and the agent's reasoning at the point of failure, which shortens time to root cause considerably.,Testing is also context-aware over time. Journeys and domain rules you spell out in chat accumulate as knowledge the agents reuse on every later run, and a blast-radius view flags changes that ship untested because a required test user or journey is missing. The platform is cloud-native, needs no code access, and is targeted at QA leads, engineers, CTOs and DevOps teams; Vercel Ventures and founder investors back the company. Pricing is not published as a simple self-serve number — teams book a demo, though a free getting-started path is offered.

**Pricing & Plans:** Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs.

- **Plain-language test authoring:** Describe a journey or rule in chat and the agent turns it into durable test cases that survive refactors and redesigns.
- **PR-level verification:** Every pull request gets a dynamic exploratory pass with preview environments, failure breakdowns, screenshots, console and network logs.
- **Web and native mobile:** Agents target real browsers and native iOS and Android apps, so coverage reaches beyond the web front end.
- **CI, Git and issue-tracker integrations:** Findings flow into Jira and Linear, and agents can be queried over MCP by other coding agents.
- **Blast-radius analysis:** Detects when changes to a module are untested and recommends the exact journeys or test users needed to close the gap.

**Strengths:** Agents test visually without selectors, so suites survive redesigns and framework migrations; Runs automatically on every pull request with preview environments; Plain-English test authoring is accessible to non-engineers; Rich failure evidence — screenshots, logs, network data and agent reasoning

[Profile (Markdown)](https://openaitools.app/tool/qa-tech.md)

## Frequently Asked Questions

### How do DebuggAI and QA.tech compare in monthly traffic?

DebuggAI has 522 monthly visits, while QA.tech has 30,550. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DebuggAI has a month-over-month growth rate of -67.6%; QA.tech has -4.4%.

### How does pricing compare?

DebuggAI: Freemium, Contact for Pricing. Freemium with self-serve tiers. A Free plan covers public repositories with 100 tests per month and PR comments. Pro is listed at about $20/month for private repos and 1,000 tests/month, and Grow at about $40/month for 5,000 tests/month with team management. An Enterprise plan offers unlimited tests, SSO/SAML and custom integrations via sales contact. Annual billing advertises roughly 20% savings. No credit card is required to start. QA.tech: Paid, Contact for Pricing. Enterprise-style, contact-for-pricing model: the site offers a free getting-started path and a demo booking rather than public per-seat numbers, so exact costs depend on team size, coverage scope and mobile testing needs.

## 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 | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 2 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.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 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI-augmented quality platform for web, mobile, API and desktop testing | [.md](https://openaitools.app/tool/katalon-studio.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Momentic](https://openaitools.app/tool/momentic) | 68,819 | -15.2% | Freemium, Usage-based, Enterprise | Agentic AI QA engineer for web, iOS, and Android testing | [.md](https://openaitools.app/tool/momentic.md) |
| 8 | [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) |
| 9 | [Shiplight AI](https://openaitools.app/tool/shiplight-ai) | 33,676 | -8.2% | Contact for Pricing | Agent-native end-to-end testing that maintains itself | [.md](https://openaitools.app/tool/shiplight-ai.md) |
| 10 | [Virtuoso QA](https://openaitools.app/tool/virtuoso-qa) | 20,169 | +84.5% | Paid, Contact for Pricing | Agentic test automation that builds, runs and maintains your enterprise tests | [.md](https://openaitools.app/tool/virtuoso-qa.md) |

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Source: https://openaitools.app/compare/debugg-ai-vs-qa-tech

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